(* Content-type: application/mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 6.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 145, 7] NotebookDataLength[ 227254, 4300] NotebookOptionsPosition[ 224682, 4209] NotebookOutlinePosition[ 225099, 4227] CellTagsIndexPosition[ 225056, 4224] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["Calcul d'aires [2]", "Subtitle", CellChangeTimes->{{3.4164945417437763`*^9, 3.416494543793353*^9}, { 3.453604291688518*^9, 3.4536042930622587`*^9}}], Cell[CellGroupData[{ Cell[TextData[{ "Calculer l'aire de la figure limit\[EAcute]e par la courbe ", Cell[BoxData[ FormBox[ RowBox[{"y", " ", "=", RowBox[{"1", " ", "+", " ", RowBox[{"ln", " ", "x"}]}]}], TraditionalForm]], FormatType->"TraditionalForm"], ", l'axe des abscisses et la droite ", Cell[BoxData[ FormBox[ RowBox[{"x", " ", "=", " ", SuperscriptBox["\[ExponentialE]", "2"]}], TraditionalForm]], FormatType->"TraditionalForm"] }], "Titre2", CellChangeTimes->{{3.416482364942295*^9, 3.4164823986375504`*^9}, { 3.416482533637314*^9, 3.416482563327402*^9}, {3.4536038357522593`*^9, 3.453603844956298*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"i", "=", RowBox[{"Integrale", "[", RowBox[{ RowBox[{"1", "+", RowBox[{"Log", "[", "x", "]"}]}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"1", "/", "E"}], ",", RowBox[{"E", "^", "2"}]}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Graphe", "[", RowBox[{"i", ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "9"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "3"}], "}"}]}], "}"}]}]}], "]"}], "\[IndentingNewLine]", RowBox[{"Detail", "[", "i", "]"}]}], "Input", CellChangeTimes->{{3.416482572346788*^9, 3.41648260180501*^9}, { 3.416482674353353*^9, 3.4164826918195953`*^9}, {3.4164827245706453`*^9, 3.416482725117299*^9}, {3.4164828042349577`*^9, 3.416482819748036*^9}, { 3.4164829338746147`*^9, 3.4164829397343483`*^9}, {3.416482978126811*^9, 3.416483061814831*^9}, {3.4164844836874*^9, 3.416484484544689*^9}, { 3.453603760004224*^9, 3.45360380904335*^9}}], Cell[BoxData[ FormBox[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxFVX801IkWH8zMt4iowfjxLVutN/Jj+0X5UfemWamt1q+12Ec4u6RaWRFl SYSihPVkhSyNKctm8oi8t3rP29DERhj9wKw1zJgmvxmjGTvvvLPn3XPuuefz xz3nc+79fO79IPSM11eaFAolTJ3/rbWUVc99swRAoZQx8zYX7cOMot67dkIY aizYuzawFzziTtmULIwCfTih1jRuBKqSPFJjv5ZA7bsyK84dMRQ2/tgz0ikD 2b81Sn5skoGgpiy9wm0antVfvcd2mgYiK7aiLXEWmBs1hPGsWeAXj9uHj87D Om8ddzZ1Hl625bO7QQ576B96mnMX4JqK71UTrYDD1o9oxdpyeBFR1k/tew8j ib/A5tNL0CJU+XfprYAbe61+U7ECEvY8s+GVUvDRMv/siwfLICwKH2/s1MBq HzZZ/uw9MLXafzgv1sQz4fR261YlfE9bNJKbUnH2KBM4P6ugJf/A09cHaVho yLj3BXcFGq0+S4wPpuPlqQcNmU4UXPazl/bkEHgy0MLnxh0KGmS/8hurXoXF ulO5fE0NjAo8dumhcDXOlpfVu3ypgTFNw+MyPR3MdWyvKmzRwE/MHI4Nstbg grP7mqMGmnja+IszmQG66Flb/tY/TBODTT7OmYrTw3VUqQ/vgSYucY9MNt9Y i+nTvvwhhSZGnsi9XH5cH6+w/VeHuWlhx0pQ7gGZPi44GO6LydRC99HvElrT DTDqhVyrpVsLTW8IqOfIdTj1rxyDcEMq9v1DqUurWoevjn88dN2LivW7s+ai Xddjjzjv2lAeFS/aLwf88/l6VDjG6W7upOKtpfPBTn9lYFK3nSGPSsM32sEH CmYZ+CiihPQEGtJvsyq7kg0xbFrWlBlDw8+S/cZEJka4wT3Oo7GahtmjJytf 3jVCsUF0UM8wDU3WXqNR7I3RNt6M16BPx450hiut0xiXzdpvxrLpGHrpomos gIlV5nVWRWfpaNHhWcidY6LC6xuXJA4dtwt2dBdlmSDrFHfas4+O1icWrp5k miLD4/GWWQqBh90+sDDhqfHVshmnjwj04to53AEzDHgbEZPqT2BN12FpCN8M t2nLr21KIdD2QFeiKtQcT4g/SvGoIbDAaVdO3JQ5eq2P3NnZq8Y2u+9/mU3i Qd5XypUVAgszSl185l4Do6qeoCh+AfeVFEpF3giwcWDbt3aDoFQMfr56xzjQ 5cMhy3Ui+MFMtbW6RArCqcWv592lUFBXvzESSHzK+ulx6gSBW9je6X0tL0E+ SPt0p7QB2K3ZE5zg36D21Flp6dsBsGza4urNGAMt1Y1ymsUoWB79iyAnbQLy +xYvtSklYLQ4J5gxJvH1/t8E94cJXMOXzPSwhuCI7ruDQt6vYBR1LlwSRqLe k2TDQ/Nq3ZbbWhdwBiA4rT37YiQXXDn5x7ltQthkptDae78fnJnuu+PTRLD3 YWiw57HfQSxytk1dkkAQI7+I8JZAfyFjlz2VRGZayXF8pZ6v1X9ufqc3CO7T 9K1ZsqfQb1DQau1NYg97k7N4kkDfLl8d7gUS9T+p9KlUEHi9uyjxHHMAhOGu G23qbsL+AmNTVoIQHtzyrRBc6YMnbS952vtEII7XmDv5+wgc2uHm922dBLSl SdZH34uhIWJLqK/CHF3mvDFDQGCs3/aJs5feQJl/TMrY+XZoGOFMHzlEoo+R Y7SDjECH22GO7VEkrkJblnyRwHNKt8G0yyRqzqfd8lYSuCGiu3KsW33vkr0e BvdnwGM9/zixjxB8LtQtlM/2QtbtTZPepiK4/U7BiaoZgQt+fFl8jgRmDSzt bj4Xg6WXzVLYvDkqqks/39pPIH0qfP2o0xu4XJO9OdW5DSz5NVcC2SQWc3Id BqUEVmZEPh84RWKfMbe5bIHAMdGxmIKLJAbwWhjKZXW/IbjFXiWxEtZI7qkI HP/76ebSnwSQ/KHjN77iOKDwlzjt+4Xws/xFaNrdXojUabsev0oEddFFOz3V OsyTXt+zmKTek6PhQ84jMQS51bInZ8xxQm/xWUIfgb86a7GKjd/ArhCdK5a3 nkBQy/Ze0X4S6RXilG1qfkMJM2YhESRmWnVMzqn1suFVT8uGRBJT/zbU7Knm t291a64ynUSX8TMdKvX8uiyaFW+zSFwMCVT4qP3x///xv/jTP3/iPwAfWvAR "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{1, 101, 102, 50, 100, 89, 99, 79, 88, 98, 70, 78, 87, 97, 62, 69, 77, 86, 96, 55, 60, 67, 75, 84, 94, 49, 48, 47, 46, 45, 44, 43, 42, 41, 40, 39, 38, 37, 36, 35, 34, 33, 32, 31, 30, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 54, 59, 66, 74, 83, 93, 4, 53, 58, 65, 73, 82, 92, 3, 52, 57, 64, 72, 81, 91, 2, 61, 68, 76, 85, 95, 51, 56, 63, 71, 80, 90}}]]}, {}, {}}, {{}, {}, {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Tiny], LineBox[{1, 90, 80, 71, 63, 56, 51, 95, 85, 76, 68, 61, 2, 91, 81, 72, 64, 57, 52, 3, 92, 82, 73, 65, 58, 53, 4, 93, 83, 74, 66, 59, 54, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 94, 84, 75, 67, 60, 55, 96, 86, 77, 69, 62, 97, 87, 78, 70, 98, 88, 79, 99, 89, 100, 50}]}}}], {{}, {}, TagBox[ TooltipBox[ {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Medium], LineBox[CompressedData[" 1:eJwVkmk4lAsfxseYsg2PpU0qkSjZn1Kk8/9LQ6FVpYbTMuhSqVCcsZ5CRK7K sZ0sbwgloShRXg+nmSSSspT02kY0QzGNJfvrfLiv35f7w++6r1uLc+GAB51G o12dz7/EbeyvA8oMmHLe5n/eWbsqmJ7At91yGp6UH+xapK1WZZTiVrPI/CYw a89ZXuHKVXWoP/6hQKTB5R3vUKqGUeVEfqqItM6G0LuLh1+3SlWVtjmHRQU9 gIfnjno+dpujFKsG1vDYj+BRON6i6NMUxOdH8v4ogRhZ9u6ZLROUz6mzQl5C KWQYP/M+0jZGZVlscOQ/LgeDRBnW3tcjVDNzoJDfUAHDGuGxnyU/qYVdD1Re DVAgzzDJi9grptKObrJ0i6iG5TvVX+VlD1GbbBLPClRfAl4ufW01MEg1GIym uWXywKBxKOqGp4ii0Z7OuVXWwDHnZ5r6wq/UbeEi017HWvjmzQ4e7xJQZk2X OO7tb4CpUlPaOt5Nuedu5Lv/egve7/btLRR9oWZuJoz1Rr6DsvN5I8oFbVSd 1WR8cUwj8Ozuuvgkt1Luumy+mfoHaBzaGj3c0kiZaMh3+HZ9gNe8e2v1dtZT M8TzseJ7TXD/njjQaEUNlTShvo40b4HGzxt9nJ4+p2rq22JIp0+ADFZafUkG eHI/17hsaAPuzZxcwyWPQVannREh/RlotGbx/WvlYB/0JbS5pB2+WccJnd7z oH59p6/fok74JpQjQ/jvwaulsyh9sBPOj6+8kxfcBJHoPcbhdEHgPrn+Y+ta QG/Qm7xu2Q3Ps1KOFx7/BJ42vgXtoh5odc0PK3HpgC23f9YNHRYAk5KRd+J3 guyQr0j6pQCs2/Tvx8V3QV7KRT2D1N55/+ag/aJuEIkvZQY79EGlt9aLhAu9 4JXxR+LKh0JwMXYsXCX5BlZj4yWmy0SgVRIj+C9XCExH7gdWhAhsVSrVtkwL oWCcS5x3HYAXby+NS82I4MeewOhK5nc4T8tbl9k/CGWhlZVF5sNg++HhCqd5 ZuTNvi33GoZaZkT9nrPDcK35t/+9zBoGMqWPlX5nGI7oU1MflcRQoJnaa7NQ DBMt1BZavxgsExfvWlc/T8Pq4n3JErh4MWv/yW0S2NTcmlRZK4FX36t0XU9J wCRoMNBgWgLtrg7KQzckoFu71Eb25Ag4tdAtvnZIQM3jfBOlPwrbVUXOOwNH YDBNY8SocgzM42qFZzJG4Q7Tf5Pi1wkw6OluXPBkHFJKrqsHLZ0EP2MBV7lp HJLYmTPfdk2C7TJ/l07xOMTer+fzCidBOWDp72+NfgF3x5rDwdwp0H0fsZSe +wsOBDf6DyjMACND5n1IzATQ/Rd/cVenYb/02C5fkylgn3jwoWwjDZ8e3G0W 4TAFxfbz0+yj4RIBkep5ago4mqdLn0TScLbsoX1+6hT887riFmOEhmstBfLr GNMQruHOym6QQvfbL9L93k4Do7q4UBAujbFaCoHpO2bBNd8uZ/MdaWy2SLg3 yp6FJ4lfUq8/l8akDGa9kc8suJ9ZGE2KpXHkiOdeVvos8NXYbuHHGKjr4uHA HJmFyFNSy9ZYLMAaRsNe27Q5kGHuu8L5sRBtBzM673vR8Igeu8pcTgbbw9ui 5/xo+GC7+5y8jgz2taqwHf6k4Z4AbkjJURk0VExu/CeOhkl9GQEMvgxa7u+j yFIa6laLfXJTZXFiNX3IdIaGLP94jminPB5o0xebRUhheFerje9dRYytUGOs DqRjR7nDOW6FInZ05e3vuExHy/iqpNAWRZwa7hlJiqLjMOuBMEZGCQ/7LOeM J9DxWH7IzbtnlfC31qvtfkXzfX+d9maSQEd+vqaPgI4TCyzKNTjKqKy53CnV ThofpUbuC/2pgvB7QPlhOgPr1CL7CZoqBlgH15+QZWDf9auhmYqqaII8p1NK DFwRHPGQt04VHc2Pf3ZbzsBrrmGyCsdVcUG9avh6MwaeWBlalVyniv4Tq773 nmCg8h0/k8fZaqhhu6rI9gUDL2S5K/ceXozenIPbBe4L8NiZlJVRV5ZhXbSS Fl5eiNH7/S3INA3sysnwCLskg4xFiX1/Tq7Cv0PO2VmfkMWPdVeHIwgt3N63 dfdaXTk8FMQxT3mpjcaxPvZKQjn0UhjQbmDr4JWAgsfFN+VRM/9V0kLRWnwT cHtFj64CBpXZOBGperijzuvuekoBvXO9Ss2N1yO71IlfacNEJn0zx+irPjrn ZVYfecNE1rmDifrxBmg1K/rttK0iLitfeYGlY4STVrywihJF/Mv3WpzJR2NU OHMwTVZHCQ9E7jVMLzVBlbLOsOQoJdR3iTiUHWKKP/RuxDztVcLWPrms+ENm uPnhiRx9FoENnK/WqpokKmw9eg1TCexm3PuVqE2i55Ke92VpBI7kehap65Jo k3Gw1eQ/BKoPDKzQMiSxY5mr8upMAt0v/hw33kqi9IJnDlO5BE6GzxXsdiZx tiFsNLuYQN0c9eXRN0mUL2yv5tcSaGHX3siMJ7G7uujvTXXzvxCmRd1KIlE7 ONQwp55AH8PVo8npJJr+dSYu/B2BFU91G3PzSUy2VmFtayHwwCsykldD4kZ7 wju7i0APz1GrnXUk2i2ONVXuIZAr/0xS10Di7Rvc4iABgel7LE82tZBYuGL6 5/4+Ar+1olWPgMRrkg0+UwPzvly6xKOfRMOmbBOP7wQqavDyhCISK+xsHjX8 INDsuN1SsZjEO7P2wxliAllScg2XRkl8qt/9SE5C4JG7byJ+/SJxDzVm6jtC 4BlW7NbgaRIfqWVd/DxKYEj/7p9zcyS6XJzw2z5O4P8B1j/nhQ== "]]}, InterpretationBox[ "\"y = \\!\\(TraditionalForm\\`\\(\\(\\(TraditionalForm\\`\\(ln(x)\\)\\\ )\\) + 1\\)\\)\"", StringForm["`1` = `2`", "y", 1 + Log[$CellContext`x]], Editable -> False]], Annotation[#, StringForm["`1` = `2`", "y", 1 + Log[$CellContext`x]], "Tooltip"]& ]}}, AspectRatio->Automatic, Axes->True, GridLines->FrontEndValueCache[ analyse`grids, {{-1., 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.}, {-2., -1., 0., 1., 2., 3.}}], GridLinesStyle->Directive[ GrayLevel[0.85], Dashing[{0, Small}]], PlotRange->{{-1, 9}, {-2, 3}}, Ticks->FrontEndValueCache[analyse`ticks, {{{-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}, {4., FormBox["4", TraditionalForm]}, {5., FormBox["5", TraditionalForm]}, {6., FormBox["6", TraditionalForm]}, {7., FormBox["7", TraditionalForm]}, {8., FormBox["8", TraditionalForm]}, {9., FormBox["9", TraditionalForm]}}, {{-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm]}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}}}]], TraditionalForm]], "Output", CellChangeTimes->{{3.416482602983461*^9, 3.416482620098599*^9}, 3.416482694150042*^9, 3.416482726389495*^9, {3.416482805655497*^9, 3.416482820320835*^9}, 3.4164828983711567`*^9, {3.416482935308373*^9, 3.416482940423162*^9}, {3.416482981740295*^9, 3.416483025490984*^9}, 3.4164830634425993`*^9, 3.4164844851483603`*^9, {3.453603765648797*^9, 3.4536038098517647`*^9}}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztXQl8zcf2/9EktqKoXZtEq4+qXamttLTUq1rqj5aWCEqffavWp5aWqlpL ea9F6b+KSpDIvkkisocksoo9ZEHtWnvPm++5Mzf3Jld+t6JEXu7n47q/c+ec mTnnzNlm7qSP0/Sxoyc4TR/n7OTQc6rT5LHjnKc5vDlpqgA9UUbTyozVNC3Q QbMRn0l8NHlrQuKlPUFXr96mSpV28BPeqAt/NH7/559/Upky2/G/2fcvyu8r VtxB167dzsPvbPjegf+zE99do7Zt21KLFi34X7t27UDLRqLXquVOubnXC6A7 8n+2lJmZSb6+vvzVlStX6LffftMUrqOjFx09erUAbn35/VdffUWTJk3CP60s v9tQWloaN42KiqKwsDA72bRZMz9KTLxYgJSt/P7QoUMkX4LUg4OJKQnYpUuX BCwuLg6f6Pbt28Z2Tk5OdObMmTxcWxbe3zegUthjDisL0BOlIygdQTEagfac bOTl5UXLli0zQbSBQWOsN98MpYCAXP4snYzBidjSH3/8QcnJyfzV9u3bafjw 4doT+dD79w+nHTtOmaI7yiY//fQTvffee+x/IiMj82OOGBFDP/54zBSzoRzv jRs32AManszRJk2KpxUrDpmiWXIXDvnQ5sxJpnnzku3v2VQf5lgE3KLAyhhm 2TjfjJYuTaepUxNMGZG/ybp1R8nZObawJtu3Z9LAgRGFNfH3z6WePUP/Ksdj Y89TmzYBJYjjiHoQ/RTCq4sXb1LVqrsKNrE1NoFily27ne7e/dMs6MnfDq/q 1d1E7HVDNzhysID7wgvedPjwVe3ZIjCiWAjAfFodOgRRePg5Xda9884+cnM7 rdsO60OsE912s2YdFKFt6n2JYvnyQ1iqJU0UmzefEAY+Upd1QUFnqFu3YN12 KSmXqXFjH91258/fpKee2mWlKOzMcPEqX95VuJg7zxSBK8VCGgVn5uDgqXIz 6lR4086d91Bo6Flrmg4eHElbtpy0pun06QnsmEya/hXJfPttBo0ff6AESkaY IurTJ8yUMSpOQvY5evRoGjRoEBLtJ+5BIT7+IrVq5W9KQcVLiLQWLFggnyyj X7hwk6pU2WmKbk3GLkmr5N+EqjEEhb/DksQTf9PBQN6S4GtIGIoKmDdycEMm boMM3NouwQfEF3iqb6Gbx0RZ/u46Rx7MzhTGL3B58uTJzGVV3ujVy49cXE79 jeMohZXCSmGlsEcNM7rOTZs25XOdlj0Owv8FC1L5ib+RTk55EDizOXPm0KJF i7TCPNf69ce48pGfjirV3LlzpwCOJTphYeeoU6egAnTuHW1ZpnP27A2qVo0T 1sfZkza2MEUlzho1OInOY9Ur+jiIjoODz/wlnLFj42j16sN/CWfNmsM0Zkxc ARxrxajoIJLv2NGgDvWKwM5iLEYEsCLrs4q9agU2aOBBx45dy8Npr4+DKF1W NK3GmT8/hWbPTiqAY60YFR1Pz2x64w0utWl1i8DOYihGNUUYHKxIa9ir2New oRelpl7Ow2mnj/P++1GqvGw1znffHaaPPoorgGOtGFW7AwcuUJMmPvxUpwjs LIZiVFNEFROr0VidLIS9arv3n/8MM6YX/M3L+jjLlh1CRYCfhknYrVu3jO26 Sxj2KiTcyDb4UgVT07x69aryscZ2169fN9JTJbpz585xWzJaIK2cfNi/fz9V rFiR9u7da2xuaegJCRepUSNvfqplAddeMhRbLA4ODrxP0rx5cxo3bpyka0Mp KSnUt29fioiIoKCgIBW1jB8/njeu8fSMJHP58mXhtjqTq6sr7d69G7OSXdhQ dHQ0Z/keHh7k5uammLFt2zYG4Uk1xQjnzp0rvF8wrVy5UoHBM09PT1qxYgXd vHlTRlG28lvT5LJRo0b2hXAFioPjBydOXNNqS5i9vb2xneowPDyc963wOn78 uKmaApyYmCiZZIeiCQ8b/3r37k2bN2/GAQiFEhgYSFu2bDERrw0NHjyYd5lA rk+fPqopeDh06FCTgdjSqFGj6OjRo9x04MCBwg9dMGoTeI2yDeUtGl7+BwrU U8A3HQ4p/Ro2LIp3bkz1RqAY26nOMc2cnBx+Uqrs4uJCCxcuNFEMO3J3d+f6 0uzZs6lNmzY0cuRIHPAwXRH9+vUzQwFrOnToYBwxjpKIrhTKiBEjjPtzz0o2 rVmzBlrNqobR4uSKkiWKSZDAgAED8H0ep7A685eB5KqzhlMoQPfrt0+XUxjr 8OHDzfQLJ2QmTJjAqzE+Pl6B169fz7gff/wxVpjiK3gHHuYxyZbVrm7dunT+ /HloKLVq1cooh7Vr1/JhlzwO2fAoxNpmHPGd0i8fHx/q2rUrL3V08fXXXytd Km9hTqo2aokfqMKhGnfz5l2L/FCjmzFjBi+WPH4YzsFMnz7djEdZWVnk5+en mKHAixcvZkPVtGlTKJICOzo6MuWZM2dC4qozEAH7TFkBc/b888/T8uXLyd/f X7EC09+6dSsPdt26dfTpp5/mZwWwCmOFatelyx4xdMPiqGkBV6ltRkYGa6CS +caNG43fXbx4kVcCXkOGDMEKMKqUGDW9++67YIuRhVjjsE1Cq43thLU1Ko6a JhTB1GKKBWlkOexGaKhhs1XQVyjYvcc6xmvy5MmwzuZFxDwbDME2adJEDcoS c+BUR4/mfWHtaQkDWsOGBgfjIEnOmjWLunXrJhLNTmCSGiOU29nZWSQcHTFX Jei33nrL6JSUoGFQ0axly5ZIsxVXYAw+++wzHLIycmXMmDH0+uuvc/MGDRqI uP2YkQzIomC5YcMGZNgKJTc3l1VI+Ck20zjDlU9fTPPpwvTl+PFrVLOmO+/K 1rSAq0aOOCM/DJNUMMUM4SNVQdsIM7FsRp2BLuC0HZ5MY5n8ffz+++9GWCHh WQUJa9MmwDx/ba2PA60YOTLmL+FkZ//BYeCNG3fMcKyNmCtK2GuvBfNRBDzV KAS3mEfMtvJR05wMDs6MGaYTL4wZcbHZfMAzfN9pwYxD6edkO/GJnxyshDkW AdcSrBLea1o5mXxbHHrNK0lYz57BNHFiDPdX/X9s7j9tyqD69XeXqLnrGYAn JaxhQ0+Rfqdyf9XkGPz94gqMSw/mWARcSzCzuRchb1bznD37AHV4JYBpX8F7 Z32cpINn6KmqO8lt1zFdnMoSNmpUFL3VK5j7uWwlTlRkFh9KDwnONMOxVpZV JGzgu3vpvSH7uO+qJVCWap7BezKpcmWDnb6kw+OqEta/fx5vLlqJExJyiuWy JyhTF+cpCRs2LJx6vxXC/Vy4D1kqOvBFVYXubdt2ROhJyZNlNQn75JP91KyZ D9M+r8NjhZOWepYc7D1oyTdJujjVJezHDYfo6afd6MD+HO03HRwVCMEnDh4U xmM7dx+yVHQiwrNEsLaTtm45LGKNkidLlcosXJgoMojdsJvaWR0eKxyMpUvn QBr6frgujhrq3tBTvHe2bl26dkYHR6Xj//53GuOE7T2t5d6HLFXJbPjwCGrV 0hc6iMMdJU6Wap5YY1iXzs6RWo4Oj1WpHfYSer7uh3QtWwdH7bKsEbEHbGxQ YKaWpYOjNtgmTYzluCX+QI52+j5kaaBjw7yDrR45MpLS086WLYHiVFvLKcln qE1rP+rzdqh2yoRlhZ6FMyfVQMLgmcD9YUPDtUwTUvc+FGdOR1UDIsJPU716 u2nc2Gjt5H3QUVsAImqi2rXdaeqUOO2EjjbUs5K2vYQF+J8UVmMHtWvnb7WI i4MqFLcDbo/qAIqrS7QYwXYa6RSpWVrepbBSWCns74UVn8NnxeqAm6qYenuf oJo13WjG9DjtKFhm5pn1D7ip/vz9TlLduu4IZrQjJnSsPeBmaGfDwbWjowf1 6xtKqSlnM0xIWRtfGWDlC3iGuLhsGjo0nNq29UMUUd+C0hRXh2optmokOYbY 6p13QslepKR7gjLTTThmCe0FiYbhTBgfQzVq7KJfNh9O00FTsBXLk8nGxoXm zo3XUnVwmsiudu08RvVFqIVRJiflJt+3TM3blZPkIdfOIodr1MiLfLxP1HzM 5drUREBTpsRS5co7xUpOPKjD7GYSbdu2IxzXogq4Py4nQQetuUQ7sD+HUWrX cqPv/5MWr4PWUqKt+jaFNahPn1D0tv8BibaKJB8TnU29e4dw6USkalUec9Ea dslsme7aNalseHsJpsfGZGsxOhxvK1kiuEz9+oUyS75amBitg9ZOom1YbyhA iVSCPD2OR+qgtZcjFSaYrQTqnbCdGGn4AxJyLdlHqMjbwQXUG2fN2o9c2MCj x1jSnSTbsRpfesmHM1axVvbqsL2ziYIsXZpEzzyzm1580RvS00J0cF+VuCid zJ2bwCsZrg4l3D06uN0kbtLBXEQCVL36LurSJZB2ux/TAh+QuO1lH4kJOSJ5 92dxd+sWRO7ux8V3j49oe8h5wGKOGRPFJSe4H5RXfXX4/KYJD6ZMjqWaYkW2 aOFLq1enat46uL343Y6X5Px5CVyCdnDw4M9JB8946KD3luhgx+pVKdSmjR+L YMSICFTO3B+QlO/tqG3J3e0Y9RUxADa5u3ffQz//f4b29GMk+b6ShfBKEybE UJ067vSCCDq+mJ+AuMbVhIUOsuk9LmSyFAH3lyhYv4iyICCUJrFtJCz2dhPq hd3XZIn0QEkawf7774ez3KF284SZSIjP2WpCWsXz8som+VSQ5CBJMjnpDH2z OIleftmfR4tAYMsvh3/RUSdVGJw2bZr5lUv3qWI15HCCAjNp9Kgo3k+vJ9IR Z+dI8vM9Wa6YatnDK5RZhv3www/mN8Q86opZyYVVKpCPQnGWLAmj/v32cnzV tKm3iH8OkKtLlCH8z6dgj7qSUgor2bDis1YeSqXMYJYLu+7K3BV9yO/l4OmF zUyiV18NpAoVXDlOXrz4IB1MzNXWF3DS97gPy5y0kySNwGL27Hhq3dqXnnzS ECQhFADp7y046YIXZpnTHSXphu09RdNFWN+8mQ8HXz0E3WVLDXTX6njqogR+ ppU4ZHkYQ8uWvka2zReBk5hzg2LgiS3Fex9L9kVEZLFYcIALl8hAPDNm7MdB IG2lCfss0ZggWYBsAVrSo8cejpP+8Q8vbAvR5p8zkPAu1SEzWZJBse/7/6TR 4MFh9OyzHuw3QHLBl4kUGZG1WIfMdEkGG4szxQw6dAhgYTRu7E2jRkUih8Fo Fv7tOmGp3FNepEW5vCM/6P/COPWtUnknvfGGYXZRkVmViqmezJbD9/M9wdnz K6/4U4XykqsiAMUBT5G1zdERzhxJRqxKrg4hUkfdACrXUQhq0qRYcnU9OluH zBeSDI79fL3oIL39dghX5hH0d+0aKDQ3DpnYJzpkvpJkAgMyac6ceOrVM5hq 13Yzpu0gs9v9+LSHrCoGq1qBNv4YSXM+j+dDUnVqu3OVFEz6179ikFciL9Hq FQPdWC7Hi8QEB5RwEBBCtbNzpWYv+dAHH4TTtytThBnMEvamcJGskrRwBAKH ZnEYqKVI46AgqAT07RvKJtXf76Q2RofWWn6vyN7sl82HaeKEWDbJqGagTggR TxQ57qaNGVBIJx1y6yQ5H5FhfvlFAse0zz3nSeXKuXJdHs8oVHjsPg4DM+yR aI05rLocMpbbxo2HeLavvRZEtWq5sU2Eo8JxyiXfJGERWIrIH7YybZZDxtJG 5R0OBAVdrEkIrmPHAIYhZtgTlPmujtB+5Xcb9gbwTR+I2bZt41cW9AQYxcMP P4igxV8nka/PiXd0qPEdU2KqMBiIj5zEQGAJsT0AjwdNHTJkHxtzYTi4zNtL h6aHpIldwdWrUumjMVGspThwA9Vq+qI3VxymTYujDevTKToqS+teDHTLUjvD T46e5CBv/bp0mjY1TtjmUGrSxJtXMGquYDnqPSjM/LrtCHTzyYesY4bLJPjM Lzu05cuSucz5+utBXHK0tXXhU5avCjGgurJkSRLXlXAisb2OOMMkC7DkXLYf YUsxbGg4tW/vz8uunJ3BWmAjauLEWFq7NhWib61DNtqEs5s2HeJDvbCzLZr7 8N1nCJKaN/elAQKGBBv+WNjQl3TIxktOBAef4qgEJT/sU2CEdnYuvHvTqpUv dwVhrl2bxmYeit2omCqhAVa9QC0CWYSvz0muDMMVYFGBZTizClcFlwXj6Dwy khYuSKTtvx6hhPhcSz/ZeFCKaLhRpQo8I/0souS5c+PZW2L9Y68bu9CwLa0h gn5KBKlKBHXyp2Jl6e7du5Z+m3NSdpSWeoa8vU7QSuGO8Vsk8KBFCx/JAxdy dPRkt+g0IpI1FwtUhPXVTTpSOaXoiX+SvnPnTgoJCcFPBS0maLmy69iYbNq8 2TDH4R9GUFeRW8KjY7HBLmCOiOM+HhfN5hjs3x+XXcmka3XQAgc28EtNPFmq qF7g96oscT/fk6zZiOVw0hz+A6zFbLFwEMAiV8SM54mh/SQW176w04bqlBXV XVR2e/bsec+xPDyN118FwXtO0Y8b0unzzw0igL1DkgY+gB8QR6dOATRk8D5a tSqDf2V85MhVun37bjUru33oRd9yBdb5qlWrRHj3NH46a1DI0oJvKawU9r8C e4phMcLbbNt6hKsDY8dG04ABAdS9ewhfI2xw9l7CFXjzzWZLlqQLL3aa/15L fHyqTZGH8Mjqvapomp2dzbeC4LoGblBJsubWrbuUkXGFfHxy+EqoKVPi+Trx pk0NKTaSDlwQhyumPvvsIH3//VH2AunpV+j69TuG027Gsi8uKcDru+++4+tZ 8Kohe8rK+oNv8vv5Z5Etf5lCo0bFUo8eIXxtENIa9NS+fSANGhRBM2cm8nVx Xl7ZlJx8CX/+x9G8J9w9MW/ePN5bxm0ieBl+aVCNvTx+rB8R8Rtt3XqSFi1K Y7H26rWXr6qqUGEHX8uFiwMGDAjnvyyA25jd3bP4IqNLl27J38oY+YcrCdQV B9zXc7IvXPEVE3Oe73qC2uD+prffDuM/94PyDK4oadHCj3k6ceIBvngAqhUd fZ45gjsYDL8/NNA13E1TnW+Aw9Vau3ad5j8BMXlyPI+1bdsAqlNnNwdJ9vae fC/ikCGRIppJ5DmANsaTk3MdfDCcQtC0Mv8FvYNb6w==\ \>"]], Cell[BoxData[ FormBox[ InterpretationBox["\<\"\\!\\(TraditionalForm\\`\\(TraditionalForm\\`\\(\\(\ \[Integral]\\_\\(1\\/\[ExponentialE]\\)\\%\\(\[ExponentialE]\\^2\\)\\) \\(\\(\ \\(\\((\\(\\(TraditionalForm\\`\\(ln(x)\\)\\)\\) + 1)\\)\\) \\(\\(\ \[DifferentialD] x\\)\\)\\)\\)\\)\\)\\) = \ \\!\\(TraditionalForm\\`\\*StyleBox[\\\"\\\\\\\"[\\\\\\\"\\\", Rule[FontSize, \ 24]]\\) \\!\\(TraditionalForm\\`\\(x\\\\ \ \\(\\(TraditionalForm\\`\\(ln(x)\\)\\)\\)\\)\\) \ \\!\\(TraditionalForm\\`\\(\\*StyleBox[\\\"\\\\\\\"]\\\\\\\"\\\", \ Rule[FontSize, \ 24]]\\)\\_\\(1\\/\[ExponentialE]\\)\\%\\(\[ExponentialE]\\^2\\)\\) = \ \\!\\(TraditionalForm\\`\\(1\\/\[ExponentialE] + \\(\\(2\\\\ \ \[ExponentialE]\\^2\\)\\)\\)\\)\"\>", StringForm["`1` = `2` `3` `4` = `5`", analyse`Integrale[1 + Log[$CellContext`x], {$CellContext`x, E^(-1), E^2}], StyleForm["[", FontSize -> 24], $CellContext`x Log[$CellContext`x], Subsuperscript[ StyleForm["]", FontSize -> 24], E^(-1), E^2], E^(-1) + 2 E^2], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{{3.416482602983461*^9, 3.416482620098599*^9}, 3.416482694150042*^9, 3.416482726389495*^9, {3.416482805655497*^9, 3.416482820320835*^9}, 3.4164828983711567`*^9, {3.416482935308373*^9, 3.416482940423162*^9}, {3.416482981740295*^9, 3.416483025490984*^9}, 3.4164830634425993`*^9, 3.4164844851483603`*^9, {3.453603765648797*^9, 3.4536038105224037`*^9}}] }, {2, 3}]], Cell[CellGroupData[{ Cell[TextData[{ "Calculer l'aire de la figure limit\[EAcute]e par la courbe y =", Cell[BoxData[ FormBox[ RadicalBox["x", "3"], TraditionalForm]]], ", l'axe des abscisses et les droites x =1 et x = 8" }], "Subsubsection", CellChangeTimes->{{3.4164831689580917`*^9, 3.416483230484221*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"i", "=", RowBox[{"Integrale", "[", RowBox[{ RowBox[{"x", "^", RowBox[{"(", RowBox[{"1", "/", "3"}], ")"}]}], ",", RowBox[{"{", RowBox[{"x", ",", "1", ",", "8"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Graphe", "[", RowBox[{"i", ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "9"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "3"}], "}"}]}], "}"}]}]}], "]"}], "\[IndentingNewLine]", RowBox[{"Detail", "[", "i", "]"}]}]}]], "Input", CellChangeTimes->{{3.416482572346788*^9, 3.41648260180501*^9}, { 3.416482674353353*^9, 3.4164826918195953`*^9}, {3.4164827245706453`*^9, 3.416482725117299*^9}, {3.4164828042349577`*^9, 3.416482819748036*^9}, { 3.4164829338746147`*^9, 3.4164829397343483`*^9}, {3.416482978126811*^9, 3.416483061814831*^9}, {3.41648324571791*^9, 3.416483276928*^9}, { 3.4536038724312696`*^9, 3.453603892966951*^9}}], Cell[BoxData[ FormBox[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJw1lHs01AkUx4dSCRmPYmr4SYY8a7PpEN07JZVko4fErMZmylE75Wi3I+VR bSerdiqlsI2Z1iPpgY2WHisSkTymklA5JFHNmMG8fn47nbPdc+75ns8f995z 7/ecOz+aHxqjT6PRftDlV+WbhTvSaFKYF9Fg/FU/ZYbRmpaMQnTWE05OuRTS 18cVjGQqwJ/G5RTyZNDI980VtowDN3B77H29UTiy6sNtFqmEIHOnrjWCUQgN vJqjH6EBkWchu2W+HBruO7XtE5CgL8gmfMRyiORVty8do6CaMVn2o6MCynst tTwnPVxW6r5FIlKAYU1xhQb0MdmrP0ePPgZffNe/XL5vCoplkuuX0saggP9E 6J8xFU8GbnzGHxoDa7WXukJsgMX7C+IqA8eBYXujStI6DcljUx3zb43DsHLK guqP0zEw9exikfEEBO3dKQtiGiJXLv7Xc+8E7PYuC1m7diaKRRKOReMEbLnb G268wwijHZnyTUwltHfObjj0hzH2x6a/ckpQgl2Ja295sQkm1d1zmKhVAmkd tD2rZxbeUdvv8rVWQdNnt+/jDeh4Kk5p+Ha3ClLcFpiSZ+gYbJmaFVamArLC 9k+OixkS7Bj/RTQ19OUaJovvmGFWT1ooe40a8j2GnZn+5viFPisx5Xc1LDJp PxH32hx54hWnDSRqsF9T5C3cbYEf8tkFYXM00P306OUiPUv0nbY+rC1SAwm0 rc3vsywxn3EnrDBPAwdOWwUbOszGltptRvW9GvCL7U3TuzsbAysGkqR2WvhZ mGnUu24Ovozqd8zjaCEplc35IpmDrmkBb1gXtRB6S859EWeFT3KfWee+0ILA 53yVSGmFCs9sE7kpCRfMfOtXnrHGDPpwnN0GEgz821kNBAP/4T3gc46TEGIf FZx2jYH7R0OWlleTELNB5my+ai72STrGH42R8K4jPvy31rl4fWO9YrHrJLAK VctbY+ehZKZFNnvnJAQ4/joYTGPiMu+AxMScSWil9b8vzWAiXbbtVFDLJNgv 3Hrpo4MN+lVVHyqZSkF3caVwerkNJqpMPOu9KEh4ZcoPX2GLPty/T63bRUHH 5r2ylOe2uHC183H/HApyXKseZ0QTaPtwCbo3UfBXdew4RRHoNfRUS1EUeGza di6GIQN3But2VYQU8uRmUQGlBLL2mx8uGaAguKyzuyxDCqPxttwoDylcNuWd GzpJINkl4sZ3UiB+ec/lSieBNyuDrr4epaD33cXU8AAp3OZ3ESFWUsi1Ebgv /4VAj0sMz7Y2CkQDg3WKOgLfNpfwV49QcKXxnCBkhMDnRx+48VUUFKiUHW4L pNDj+3RWqZGu3iFf/dMeAq8t2XE2uYWCvBHtGZtqAs9Lr21QfdDNby3iJPYR mD1XWMMa1+338EjtwnEChQPThiu1FKQbOB++YCYF17WPbnYZSIFZtIh7cBeB LvWHk180U2C374TyuwoCa4eWaUIHKbDf7Fl3uofAiKr5TSkKChwCDF38ZATu aDwostDoGBSRlhoCDwwnGEZOUpBkVBPSNEN3H+bKwU/6UugeSsjUjyHwKp03 oKfr/7a02fVuOYHJ9Nya5PcU9J0/OGH9msCON2K4Iaeg/0Qw5/FnAu380vaw 1TpO8RZcVhIY5iOiTpIU7CRvOKeTBOZtPzrDQ+fXt39G+z+++fmN/wOftmJT "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{1, 78, 79, 50, 77, 70, 76, 64, 69, 75, 59, 63, 68, 74, 55, 58, 62, 67, 73, 52, 54, 57, 61, 66, 72, 49, 48, 47, 46, 45, 44, 43, 42, 41, 40, 39, 38, 37, 36, 35, 34, 33, 32, 31, 30, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 51, 53, 56, 60, 65, 71}}]]}, {}, {}}, {{}, {}, {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Tiny], LineBox[{1, 71, 65, 60, 56, 53, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 72, 66, 61, 57, 54, 52, 73, 67, 62, 58, 55, 74, 68, 63, 59, 75, 69, 64, 76, 70, 77, 50}]}}}], {{}, {}, TagBox[ TooltipBox[ {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Medium], LineBox[CompressedData[" 1:eJwVjms4lAkbgIeZN2da2Zg0kTMh9WYq2u95cmwloZS0u20Oy0iJ9UmhNqSv 3XbZRIupdYoQipxiZ1dGEuEiKuezzGiYMeOYbN+P+7qv+9+91TvY3U+aQqEE fub/xq+8xvnraRBoqGCjuz8ToqRvNzjsYQGD6VU0dO8ZmKf5NKoxE+DhtJ6y Tm0bDNAfCxRU2OCVbs0MOtgJR8i3tfH7c4CwbqRxWrug4t3xmOuRBfDU32fx 8ts3oPQPX5fr9Qh+2GMkLkx+B5BUGM+9UAbxqsZJpxm9EPLDmSnu7QoYdmCZ 2kb3Qdbebc4Nj6uhvuYun8Hph9eK/OKG1loo31wa92l8ANgnLK184uqgxDG2 +Vb0EFjaJp8ZVa2HvMaHTPWFIWg1lbB9Mrnw+GiEwDhwGCiU8jUfTiO0vphe W4MRSJ1S2zHm3ASpUje1RdkjsLMzzNu39yWcjz9rOEgdBd/cXQ2+i6+gavaJ t0715zbwathJ74Ch5UwHBalxsNCUHwgd6oCYgHCWwqFxWFV5Ol+a1wkOMz2d KynjkLJENyKZXVDzfBub1J+AxpZ3P5NH3oKy/2OSYj4JARE9jSe3vYNTnT/d GQ6ZBFm9XloctQcsf6r+zebJJDhF9l1+XdYLPCer15273kOL8WDof9UGocNu ykbVcAoCbEOLenkjMH4rt92jlwd7UkXNM8dG4VHIsnCTMh9kZ0J51PpRiGm3 cdBDPuSn/Whomj4G5q+OVjOy+MAThmVGHZyABI9qadfvpiEo40Iy4+EUqNql GM3UfIB98wtlOzR4MFCTuS54/AMoOkd02Mfx4OjJyakoZQEULUSonPuGD/Tf 1fNdTglA4HLpBkfxA5xf7Xix8aMAqi5zOCXMWSjccHJBX3UWrMzqSl3vzIHF xpEByhYhWL7uTuE0zYG29qJ1jqkQLCKnL5l+nAN27aE2c2shGDSp28qeFoPR wXzLleNC2OB3rvNvEwlkFq1URyYKYZqtKTbnzMOrm9frWKtC+FMx3FJpfAnU nybfXtckgrSyX+iR6stglyKIsegSQYpX5ur7r5eBz1psdRoWwc0HLQ3c4mXw TExycFsSQYSd7rGoiBWw2uvGLzCaA/eo9nC+wiqU9ygMV8bNgXT4l32+dAo2 q9X/7EiKwev7go6qXRTM2v6Vbsl/xFDqBE2KrhTky5XMyjmJwVuLVfEknoJr HWerUr8Xw7MXtYk0MQXliw/U6P8qhlhNX/ucVinUq3WpUhgTA62utHg0loos N42v39yQgIyi61VvwTosUDstCXo6D56GXv8w5WRwh21UvkP9PBTY+K7J68lg B/WLq/SWeXC5GBFddkIGl+tC2wr65yFlIuMirUEGN/854RZNWQCDOmFIbros Llz9tnLabgHsw5O8eQfkcSDGcr9d0wLEDnXbhmYroX9I2wZR3SI8So93vSz6 Aufpntwan2UIzvJdP3bsS3zxQGKsJFmB7wLTGNevaqB7SFB3v8Mq3HAL30uy NTGyvE+2K/wT0NSSJ64sb8F+d+mE0bw1eNN8bTZOZSvKZ2ziJHlS0CPSm5lW r4NzbZW/hg1SMEiBr9PqpYfdmm0tzGNSqFX4PGUdTx8vkBNZjVwpjKyyPaKS boj3ilTNBExpPJ8bVMHcbowz9Spn7rOlUVF6t7f5uAl2u3xyNl9HRfuzR5NN kkzRz1Vr6BqLihrVjGB7PXP0nFj6669nVLwV+r/fLd5sR/0HGVeUtGnoHn/Y 7G6FBdIk/jm7w2hocjLOIyd6BxZ4XDxszqVh94RcVpLHTmyxT5U4axDY6j2+ X1WLxI+SP9hXfAkcpuUtJuuQ+AtjTLnNj0BxbkAJ3YDEjYNbPLf4E0jn8zdv NSMxxy85uJZFoO+PooXt1iTuyRgrmz9H4HLsWtGh4yQe6XnP9rlIoMF9+qYb CSTqMnY7aP1G4F7H3nbFJBKvPfAoZiUQ6DzFvp6YQiJrA09QlkhgiJm25M5d EkteZi85JhFYW27QnltIoolnDvPcHwS6PyfjuY0kfntK7URZFoF+AZJ9B5pJ rNdRcVnJJjBCvnKuuZVEeSerzbb3CbzrYnW6s4vEezmH7TryCHzfjftGRkks jK7gCh5+/o2QnvObJFHuUlicZTGBSprc/Ckeie3KHEZUCYE7TzmqC4Ukrmdu 7ZctJdBeSq41TELiFQ836uEyAj2zX8YtLpJ4wNCKmvyEwED7m9ZRH0l8NDbR 11NOYPTkIdHaGomVdd6J2pUE/gvZ0iIv "]]}, InterpretationBox["\"y = \\!\\(TraditionalForm\\`\\@x\\%3\\)\"", StringForm["`1` = `2`", "y", $CellContext`x^Rational[1, 3]], Editable -> False]], Annotation[#, StringForm["`1` = `2`", "y", $CellContext`x^Rational[1, 3]], "Tooltip"]& ]}}, AspectRatio->Automatic, Axes->True, GridLines->FrontEndValueCache[ analyse`grids, {{-1., 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.}, {-1., 0., 1., 2., 3.}}], GridLinesStyle->Directive[ GrayLevel[0.85], Dashing[{0, Small}]], PlotRange->{{-1, 9}, {-1, 3}}, Ticks->FrontEndValueCache[analyse`ticks, {{{-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}, {4., FormBox["4", TraditionalForm]}, {5., FormBox["5", TraditionalForm]}, {6., FormBox["6", TraditionalForm]}, {7., FormBox["7", TraditionalForm]}, {8., FormBox["8", TraditionalForm]}, {9., FormBox["9", TraditionalForm]}}, {{-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}}}]], TraditionalForm]], "Output", CellChangeTimes->{{3.416483259122931*^9, 3.4164832780573378`*^9}, 3.453603896434256*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztXAdYVNcSXhWwd40NAxhNJCYaE3uJUaNGA7FgrMkj9q5EsUWjxt5QYyyx xBafGkGkd6QJ0ntXQVFA7N1YcN7M3HvWXVjcjSYGfbvfx2V39pQ5M/+0e85d y1G2E8dNG2U7acwo0z4zR9lMnDRmlmnvGTORVK6MQlFmokKh+NVUYYDvAd+q Xug1iS7q7834nwHcvHkTxo0bB0OGDIGrV69yk8+lJk34XznYv38/LF++nD+p ft9I/n7lypUwY8YM+lOU5asBpKWlcVOVvtBLvdvt27d5dvzDbnQ1gMePH5fU zVDulpGRAfILu/0TNCNVmpIdGxsbA3pvwGItx3S5nfTplfCmp5V6Wlki/auI 0HOg56AIB0pnvm/fPqUzF8yJMEGf+Pqp1MdM/p689KJFi2DVqlUKAy193pG/ f/LkSTEGS+rTXMv3mly/qYY+ps9pp41m9hJ9X4ZWRjcR/NPf60WsF/FL0PQi Ls0iHifTHj16pKT1lGn3798XdOXSyHcLmmDlzp07wqcr2z148EA53tsy7cqV K9xW+sQslZc/xMTEQKVKlSA4OFjZXJVNEw3tJJohJCcng6mpKbRq1QpatmwJ kyZNkscwgJSUFOjfvz+EhYWBv7+/iHRTp06F6Oho/tRYHubWrVvQpUsXcHBw ABcXF1qBPIUBREREcCnj6uoKTk5OYuFHjhxh0jMODZjDxYsXQ0BAAGzatEmQ ST5ubm6wceNGePjwoRT2FBXkgZo1a6ZcamMNyzfV0E6MHBoaysukV3Z2tlCA u7s7JCQkqAxpxEUc8Ud/Q4cOhYMHD8Ldu3fF6FlZWXDo0CEVnRlwsz///JNH t7S0FE1JWFOmTFFhxBDGjh0LZ8+e5aaDBw+G69evKxmPioriMhKeoRWpsbGx xarD+fPniyXScoXiNUnDxMSkGG3dunWQn5+vRiNTsbe3hxUrVsjrMgJnZ2eu bRcsWAAtWrSA0aNHQ05OjuhCnA0YMEBNeiSGjh078nw0ZJs2bWgq0WXgwIHw 9OlTFekZwtatWwmqPDvpDr9X6o3KYDs7Oxg0aBDh65lUyLyKFr+y2egiFVWM CBrxZW1trYYbVDxMmzaNzSkuLk6Qd+/ezX0nT55MJiLgRHIieT0TiCHDqUGD BnDt2jVCHrRu3Vpp/9u2bYPw8HA1LBEXaJzcB78TuPH09IRu3boxiGmK1atX C4y8jH0ITmbPns2Af7b2cmz7tra2avLIzc0Fb29vsXBBXrNmDXsVAgkCRJDN zMx45Dlz5pAmxWQ0CIlKddnke5o2bQobNmwAHx8fsWxa6uHDh5nZXbt2EfCL Lpt66bJs1XYCepmZmYwiocu9e/cqv7tx44bSqIcNG0YoVo6FHIKVlRWJQCku clrkTxCZynboBpWAEEsiBaveH0GjUoqX7DwoKIjpOL7oQhZAtkgvGxsbcptC CqqxwdzcXGV1JccG0c5UnnXevHlgYWEBnTt3JmkIZgidpL1OnTrRooT2yEOJ sCC0R56OmpHlY3Eklk9+Et07FBQUKJc/fvx46NGjB/Tq1QuMjY3JnyqHoWHp VhEhDGsl0eXSpUuMi6NHj7L/fPz4sVi+odxTVaAYRcRqNeEgNTW1GE2OAWo0 2Rz4k1h7UlKSuMWm5jhFwBa09PR0soNi7XSZNz4+XkkrTWkhO95RIO7dPUsW NQmZaMuWpRSjZaRfoT+k0VU7zUzHdi9C08RzEcFrW+KCBUlv+hJtbeNf9yWq wnvGjLhnzR/QOO+qy6Gk0mfYsFNqNB/v6GL8aKOZ6djuRWhFedZS+nTq5K9Z DqqNGjVy1d6oYsVjmKwXPr9R+/Z+GNgu/3Wxz5wZj0VF6psi9oCAAkyJfUsS Fu+NcIZgbOyKkeqWyfPa0Yuc7Pjx0SW0M1S2u3btIdSp44Qp6F0p3OqmBENV eyJFYCYeqkwwXltlGKktC9GLSbEH/PFHTmPNciyv1p5eCQk34K23nOH06TsK Y82d1H2RuIe7Y8dZLMTdMKl5IO3kaesobjJTrFEojmIe+kDRUHcNqg8m7j5v 3XqaBysoeKBo8LprU32JQhSLFiVjzu+BhcctRX1dBG0k0/bvz4a6dZ3B0fGi op4uHcvLoo2MvAY1ahznGHP//pO6uvStIPe9efMRjBgRzhyHhFyp86IKriSP 5+R0EapUcYQJE6LJ9mu9WTquLGv61q1H8P33cayu9evTMTcvVNTQRexV5QHS 02+DpWUImJi4sWU+elSoqKbLANXlASIirkGfPkE8wJ49WVh8PFVU0WWAmvIA YWFXoXfvIKhZ8ziWkBm0JEmJL6L92vKg0dHXGU3Vq0toxEiirJdfQwiUcNZC 0/YbGx2acl7efVi4MAnq13eBrl1PwMGD58jPGxaVrKYzGprGrSePiwiDY8cu sMoIdTY2cWT35V503IbyuOfP3+NYTvZvbu4JS5emQGbm7RcZUtyKCw+/CtOn x7IIzM09YMqUCHB3y76rBVdv9pmQKsX4KCx8CuvWhkD//pIRNm7sAiNHhoLd +hBIT7tcTgN8y+ppr45Wlkj/qhb0HJQiDl6Vw/qbjoNI7SqQJ4HfD2TCN+hZ yMPUqOEIFhaB8MvmFEhMuHSNVig7ZV1PjUjNy5NPh6lTIuGDFp5QqdIx6NDB B2xto8HT45zissq4up4sMZdZjgjPhZUrEjC9CYBatY5juePELK9dkwinwnLz VIbWlOB8KA9z3PEszJgeBW3bekOFCg5gZuYKgweHYL6WTFPkqAzzMtvPUkZX EVKSC2D/vkyYMD4cPv5YmvKdd9xg6JAQ2GCXTJxjflUcY6Uw7dEk1TbyMpOT CmDvngwYPy4cPvnEmxVPuLK0DELQxCEozikytWioA18rQVrqZThy+DTMnBkN n33mz/cJqld3hI4dfWE8inH79lSIjspL0TJcV3k4f78cWL06EYYODYEWiMny 5R3g7bddoe8XATB/XizYHz1DU8ZrGa47XyuzQo8cOQOzZ0fDFwhFWiUptXlz D7CyCoZFP8aBg8NZSE25rIj6m8Ak0aqp5Qox0fmwa2caTJ8WCT26+0OjRi5g ZGTPfHyFUp+HS/v990xIiM+v+3pg6UtZwqhb2PNbBlZSUSzhJk3cwNDQnpXW s6c/JpGRsGVLKgScyFEEadGatBtchfH5B2pt4cI4tvZWrbwYU1WqHIMPPvCE gQOCYe6cGNi7N4Pm99Uy7BB52KDACwjHNCxqohhP773nzvgiyLZr5wMjhp+E n5bEM8aSEgvctQw7kq9V2Tuju4T165KwwAhnK6DVCyl8+qkfjPouDJYvSwAH +zOkY8XxvxVr6rRGMl9JiZcY2yuWJ/D8Xbv6Ie4cwcDAHurVc4YO7X3QzE4y 9n7bnQHBQRcUxqUPaBP4Wo2KY3B1ycbUOhkmTYxgsJmj+RAoKlc+Bs3f8+Bo M3lSBHsQEnV8XP4BLVqcLg8fevIiSiGdncxwBEKnTr6sPZIWBbCWLb3A4stA mDI5AqNPEkamLALJLi3DSzvg1fm2rI/3eXaH5Iy+/jqEFWBs7MJT1K3rBB99 5AX9vwpiJ7FpUwocQ+XFxeYrtmiZQ9oMr8ESIiCSuZE7HjQoGNqrzEEmRJjv jg7o229D4YcfYmHnjjTmCx3g+n8Qk5poDWXRnPDPYQ9Cpjd69ClWIlk5mWXZ skcRq5Jo+vULhAkTwhnPB9FXosYQ6/8qNtfKkidTI2xu+SUF5syOYQB1Q7Nv 2tQdqiI+ydWbmLhyULSyCsHSNYrzCcdjWYjRSz9qUfBmeZrIiDyOZmvXJMG0 qZEwAP0gOS6h4GrVHNkMyOMMGSJNQ20PHzoNJ0MuztYyzU6+1oRA9JOUBZGg p0yOhEEDg9kcKBOqWlVyIA0aOLNbJmVZW4fB/PmxuPpUcHbKgtiYfMVULXMd 4Gstwjc4O2fBtq2psADxOHrUKfgCfTNlX1KQdGDrNjN1ZSxToT0RrX/pT/EM Gl+f8xTkx7xi7Go6h/i2vCSUNGZEZ9CvBsDM76MZDN0xJrz/vocS0+RRKPYT SMgH22BIWrc2iXMASoHQHGu/OhhLG3W10YEUokBzODekaDUZfR0pv3NnX2jW zJ25Ju7pTgdBm+BMCqGo9yPG6q3oeAjSmJkrBmoBgB9f67DT8vPNwZWfZqyS 4/rmm1Do3fsEtEarp4yN8lOKpvXrO8OH6BkogxqGUqPcYtXKRM4DvDzPkT/u o2XaMHlaSshcnLNhx69psGRxPEcUSggpSJJiyB+XK2fPeDdF7LVt68MO6DvE +ry5sVyAkLIIf5iudNUyrbRvXJfDAMZZtuJNG1Ng7twYjs2UeVPpRVKuXVuS MgU2ikDk+z7//IRyxcuWxqPbTmdTi4zIVXxSCrCva19pm+QtlgNFXAf7s4wa ysNJBZTtUf5EWibzr1jRgd0NlY+kFkIiIW7smHDOWzZuTIZD/z3NMQTdgMHL 24epzCcd3qPzh3Tmlf7atWtHXGuqeS/KiyJf5oHxl8xn9apEhjLF2b59A7mA Jf9JpkPKJVdNuCLlUjz+Ghc+cUIELFgQy7GfFuXre54g3bhYeW/I54O8vLx4 fnqU7+rVqxrL8et8rcf3KSn9FfKmWEsRhHxTn94BuFKJPcIewZ7k3rChM5Zg HtClix/LnFzzbAxuZKW0RDfXbMq+0eNlFLvNTAcTQ0JC5E/F+Xok84UFNbv/ XTvTlSKz/k8YWFgEccihW89k9VSziTTp3XfdoT1Gvb59A2DkiFBO58lbUWpP +S6tk+o5Iw23L2bNmkUHyvhTiQ/GSCCtT9kjupXzcGB/JtjZJSHgYrhkpryK QEq6o6hOeZUwWAItCY2AamkRyLHx558z4dCh86jPSxAffwNyc+nUd6GEtFd4 G10zbefOnXxGUEnTP2Oppz2XVqqerdNz8Go4aMjnUsNCyV9nw+5d6bBmTSJm flRpeMO0abF8yK1nz0AsMV2wPBAl53HelWzd2g1jyEkYOzYKS4VE2LAhA9au DccYlg8xMdfhwoV7fJIG5zX4K2yp3lUXh47ooRp6YoVedOrX2tpaYwziq5S0 N4AbNx7SlimcPHkFjh+/iF7xLKxYkcpbtCNHhvOWbevWPnyqjVJRKX670Xks rFeCMWUN581y2obdvv0M2Ntf4PNaSUk3eTuZzgZIRz2UG9K0hzl8+HDOLk6d OlUii+/z29pw585jyMq6yydFPDzy4MCBc7zpT2d76KSGlVUodOsWgOHHi7dt RUXYpIk7Zi9+GC+DMR2JoDMPmOzg4p6FazqqLp6sKJGP9vzWiE+bnDlzh7eI 3d3z+MiLnV1GGVKs/imxEgoAVRHoH8R7cZpexHoR60WsF7FexKVGxDx9WSgs LNT0OIiqMESGhk2hX79+4OjoCIGBgfQEWMlpR5GftqCDDfRwGX3S9tMWog9V /H369NGpz6srx8ur0vi1efNmqFOnDj32JslDX4rraXqanvb/Q1OWpHl5efxA PT0RzQ3k370T1TM910uvLVu28MP/GprQA9VLlizhW/fi9xuK/LrevXv3lM/k qn7P7+Uf61OU+R9IUOQp\ \>"]], Cell[BoxData[ FormBox[ InterpretationBox["\<\"\\!\\(TraditionalForm\\`\\(TraditionalForm\\`\\(\\(\ \[Integral]\\_1\\%8\\) \\(\\(\\@x\\%3 \\(\\(\[DifferentialD] x\\)\\)\\)\\)\\)\ \\)\\) = \\!\\(TraditionalForm\\`\\*StyleBox[\\\"\\\\\\\"[\\\\\\\"\\\", \ Rule[FontSize, 24]]\\) \\!\\(TraditionalForm\\`\\(3\\\\ \ x\\^\\(4/3\\)\\)\\/4\\) \ \\!\\(TraditionalForm\\`\\(\\*StyleBox[\\\"\\\\\\\"]\\\\\\\"\\\", \ Rule[FontSize, 24]]\\)\\_1\\%8\\) = \\!\\(TraditionalForm\\`45\\/4\\)\"\>", StringForm["`1` = `2` `3` `4` = `5`", analyse`Integrale[$CellContext`x^Rational[1, 3], {$CellContext`x, 1, 8}], StyleForm["[", FontSize -> 24], Rational[3, 4] $CellContext`x^Rational[4, 3], Subsuperscript[ StyleForm["]", FontSize -> 24], 1, 8], Rational[45, 4]], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{{3.416483259122931*^9, 3.4164832780573378`*^9}, 3.453603896516873*^9}] }, {2, 3}]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Calculer l'aire de la figure limit\[EAcute]e par la courbe y =sin x, l'axe \ des abscisses et les droites ", Cell[BoxData[ FormBox[ RowBox[{"x", " ", "=", FractionBox["\[Pi]", "4"]}], TraditionalForm]], FormatType->"TraditionalForm"], " et ", Cell[BoxData[ FormBox[ RowBox[{"x", "=", FractionBox[ RowBox[{"5", "\[Pi]"}], "6"]}], TraditionalForm]]] }], "Titre2", CellChangeTimes->{{3.4164831689580917`*^9, 3.416483230484221*^9}, { 3.416483361925158*^9, 3.4164834030304117`*^9}, {3.416483443874311*^9, 3.4164834575074177`*^9}, {3.453604021824975*^9, 3.453604032335947*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"i", "=", RowBox[{"Integrale", "[", RowBox[{ RowBox[{"Sin", "[", "x", "]"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"\[Pi]", "/", "4"}], ",", RowBox[{"5", RowBox[{"\[Pi]", "/", "6"}]}]}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Graphe", "[", RowBox[{"i", ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "2"}], "}"}]}], "}"}]}]}], "]"}], "\[IndentingNewLine]", RowBox[{"Calcule", "[", "i", "]"}]}], "Input", CellChangeTimes->{{3.416483413786667*^9, 3.4164834759229527`*^9}}], Cell[BoxData[ FormBox[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJw1mHk4Vd/3x69ZySdDREQkIlOhyLAuMhRfyfQJUTKkQRJFaSASGSJSVEKk QqEyZMqQKSrSIGPmazoXufeccw2/7Xl+H/941rOHtfZ6v/Ze61yZ4742nuwU CoWPjUJZ/R/pdtibJUMDGC8MSEsfBRPdzx3PzSfgsQ8Xc6fPGERs8E2XjpyE GzPeqZpG47D/b0DHqaIpeLXPsCqJQgOdXzLCPT+mgX/iZNBiEQ3yy4li0Q0Y XDl1v5r79AS02zzsF5Kiw7oqa+cs/kmINTsocr2KDrwF0w45bybhWJWDzbLz LOy4uKn7H8spCCiNrxmbmYX1Djp/E75Owf5dxwa14uYgjn7fJdJ+Go6qHdea kZ2HF00VzScbpyHmVcmdsrfzYDBo+NlSZQaC8zMf0mz+gkTASeWG+BnIVfvQ FTb6F6Kbh/iEhmbg8U7/5hsRC1D/aPhKvjoG2e8ufUjayoAMAzEnTj8MZiqK aALFDAhde+GwcyYGhHFo/awdEyhpfFaKrRiYWN1o16MxwXbGiSYzjoHtL7H4 qSgcpnX7BZ1JDAKH2R1eKxDA33iPubSCQY+/tFXPewIa4cYZCzTOEdbO9HEi gTwrG6yC1p8WKf52EiOhqG8qTQjtT1OcKQ4KZUHxv/vZBZ9hoFhVbjElvQhD 04Zi6ii+l9/LhVreLEKJu8dPQhOD6TOHotfZLUFDrvMUY2wGzCL28h2fXQLH 6ayfiej8g7IOlTLhyyABZTEvNGfAAHhkTLeuwKimw/WPH6ehu2+iuLNkBdSP 5y332U6DGUVQqVyOQtWPE8xP/z0F7IcCD1X5U6jUfR9dbiB9XIcYCRcrKdSU hFCWatUkPNQy3OHGz0a9U0d7Gio+CUHNWb2Uw2zU1Brq450XJ+CYVJGwUgYb lV7W3+7YRgNFjduZN+ls1AG+U2av19EgMSr4QPJedioZ6SWvYj0OfU/2WHTd ZqdOyA5xlVweA83Ax1+yu9iph+qKbisiPnfES/oobOWgqsaZRse2jgDHSS/3 7vMc1Fit19lLfcMQHNZ8fl8lB/Wtvm3OMDEEy64/uPZwc1Lv1R4srxIaguNk /qyzPSdV4I7ndqbAIJz4mcbQesJJrbNbx62+6Q/8L8DJzgjjpPbeHv9tzjsA W+s0ap7NclL3xbgLUigD4GWVuNnmHQ36TZZse3jGIMOfUc/3fQFewlVtGxsM DuiIfu84w4AHU4525G0MAiib/g3lYsKF9NcWzaUYSDezWWx8woSWKzl5wd0Y WCa2FSTp4NDgWLKvfQ4Dzz7++bZfOEg/eW1buIyBkrJgh4kfAcvCakKByD4X jMtmryUB+Lyym9H8Pa11I5NZJLjd8Tt4Ce33UtrGxE+bBRZ2Y5ZH3mOw5q9d aNFXFthnx9tvjcVgollXrfvkIrBnKPm622FQKtF4O4DOSfXNJZ/KcQ4A8+dC 7bPTNOigcA9f6hyFJx2aZo35CyChObvYa4hBELOxRcOcAaekjL4fuoZBoavX luZeBlgruGPz+RjERNTc4rzMBE8p1xmFTgya6Ao13oI4GPd36vRNY3DEOdHQ pRCHWKEXbmOLGFjzrk26bEnAjVuw5Q66L8+Y0aUfBgmIaOkYnGZg8DinZSbv OgknrS81KQ5icHtTeMy0MAviBKxVbteh+xkn80jkBQvkcIyLlYLB2vrgyqF9 ixAseCBqszsG7E3xvt1ITy+D8Zbd3AMgGezR75fAAI+89feWkjHYndkWq6PC hKJ995W6azEo4jP6R6meCb9VE9zkkL+vWv7pH9xwOGL9ZYJE8Zx1i8wyoBBg bbGhtxTFy2EtJiCYTID8KZVv79B59q54xEbtIuFCG9m2et52ekWPUgsJGeQB TUmUjxa5Lct/j7Cg0iZUJaoA7ee7lM2P+AptkvUSYh+AD5I5Iu2mNBgUUdR9 +H4UpNjteLelLoAALgkuOhjE/Ug3GdZiwKsX40XVgSi+2HVc080M4BUd4aY+ x8DIU0Y++AQTmj/0MPW/YhAhbd9ss8SEXCF5bfFJDH6J/xjPeowDHpYeXsbC wOMi98KGvQQERbGKutF5at7Zh33+TEBnT+z1dzjSR8TKn9+HhJAtZXqGIxiQ GzcX5LKxIHvvN9GhRgz8em4pmt1jwZoYJ5BKx2BTzUNO712LYNgx26B7CoPt aQt/4lD+f+g1fAeeAdBw0neSvc6A04bh6QIJGNi3+593EWdCklbbq4lKDLwn MvLSC5lQ+DPl1EgfOq9H+vOX/8PBwFDKdOUv4lf6k0XEFA7XGQue/0PxilZt 8MsNI8B+0PJB7hLar1L18H0pEp4Jy/H50DEId6W6RZeQsOteme3AT6SPbJnM mwMs0Dm34HbrHQaJJsfFahD/sZ2TtyQ4BmBtLVl6bRsOSqw1E+fQ+oFH1qki H5E/J9WcYbS/fiq/xoArAYpLDSCG/Efr1E4XMQjoFxNJ+YviE+IxffDjAg5k 2Eu1epS/uUyTJYYwAftcT5TOo/n0PxKvLz4noOC+SP09lH/zlAcaTkj/raNP DNawDYBc9YqBlyYNjjddTknPH4W+lKFx2/gFcH9Vqc+nhfJryh9WocwA8Yg6 5RMBGBzNPspcrmYAtbW70TYbgzS7Qxd2uzLBsJeH0P6MwWjx6TazeSZIbJb4 /ZSG8nUpsKIpEQe9Mz9dBJD/s/nh2wbVCTDmEpSeQ/F9Tnrv/b2eADEZpbwI Ar0/rXfeVbqTIGlDq60YRfcjmVZzGyeB+caTh9KCgQqHLv1oNAusKFoFm59i kFm9Y7uS4iK0Z7xXKfdB+V6z/aH3qv79/zjWI/2rml/cJy8wgCN3OGttHAbD 4w0evuuZ0KmQJ36sHIP6rnaW83MmKG7UHtbqRfWNVZz3xBiHJ2db42fmEU/X z0i/HMSh7a3SOS4U75aFuxlBlwl4VFeSJorex+OPEvXTNpAwHNoXkzGLgavI jae6r0jQ++C8u6gL6ZF+U+OuIbp/SZxszBL03hQktaci/e/EvBRNR/qfdBSs 9JfA4e9Rtx4VDAOpxVkfnXIcBEYvbDyD9Ddtj3bPtyfgsHURcRj5fyCm8K1s ioA4iqc/cwHdh7Qjjz6dxmEp2qtrhImBOvvY101rCUiOM3DtQfNJsdR+4yeI 139aNuxA74Uz56cpDaS/WozYt1ikf+p7TZHQHPT+m5I3HdC4E0TWmxkT0Ftx 5M17tD7vg2LQcQYOuwUYmlHIXncrmdoXQ0DdF8EVLRRfpv7rhtnPOHx5liVw COVD0/0Ou7A3AXfn7s61IvutcZbit80E8PbcnFxG63erel0OQf41B0ufh6P6 5iCQ9019Bw2GGzUDt+SMQpXnDsfT0QuQrSz/vXcXug9X6zK2b2cA9/LUupLz GMjvjKLzlDNAZ1xGtAvpb2lJk0xyZEJqPselXW0YJLMHHjSaYULpft6AYdTv vN1u/ux3HA57uK7qlaB+aK6prtJcmQDu9o8uBIrHntOn+1c1AcopQykTiL/k nIIfIkdJUMtpDbo4hsE/P74cIOdJ6Lhrn7b2E7p/yUm2ZyJYYCmj1PsgC/Fe Na8TLbcIDErK3EVfxJNBTaA94m/DPcVUblTPw9mOFXv5MWB/qXJjWAzKZwDd JWgtE+iXy3REUb08337yadlTJtwKiJFy6sHgkVmtaqoBDi3uiVfdEH8Nqvpr KnoRD4Y1oz0on9kCHTr9Fwig078pmSObxmdakLGehBr6Qfk9qD630DPrE1+Q 4D4pI3n/NwZWA6cr2PRZELree1apDAO1UZVXtxB/f3xDXAYRf2LZknBWFAfT i68f35rBoDK39l+LYhyuLlkZ7kD6fppqYQkfQnoPeh69gPIlHdllUjlGwFaj a9oBqD5tmTgh1eCFg3+u9IIf4u9LYcl7ZS4CnPojZVvR/GuaXYEvUwkw6TBv 8EN8Det4NG9B+h8M+iT5FfGnc4pr5W4mDme3rUStQeP9To1HXhkQUPnm0c3V 9RbnSLeAWRwCMOuOM8hOyPz+a18kAfu5eaTOo/gMp68XcLTgIBbw9pgkykfp tc+pl9wJiLmXNDmPbNv5AOERMQJkzX79INH6avcVBx/kX0nt93wD4o+WYBIb rEUA51Kg7jgaj/ryUOvBGA6iqNlWQnbtO8tPpk4o39sVMJ1V/zaiY7zrCbj4 WSOehuzvW/cr/zEjoH2zvt4zZPMLOsZZs3D4/WwwNnO1XiR9gxpZAprLfBkr q/cJb32ciPzXUPRcjJB/TJtdKlmeBn72c4X9T0fhlcVBQWbkArgcYXI37ET+ U6QK+7YxQF1lgKsP9eNrmZt9YkoZoBHX+GAT4l/W/B3d6F8m6FQPa79C/fzZ 51fiqyeZYFFhnBiG+A8PUX/oHoNDErtDZBTi/63D0JpFRdQ/nD2wwkLxiOk1 JDlVEjDbl+wlgcYtRQzHao6QwLf7lHUH4r9iwWh90SwJclk+s3GI/73HDG/O hbGAKC+2tkfvf2TVz1pd2UUo83fosj2H7C7+UQvEP1tk0nsFxP+JzeUfJX0Z EJXrcaw6GoP4vTd/L/IwYW/ABblziEfzNq1A7wwmCJHSupOonwyYbvTdqIeD Ue+vj+KI/+SIbcv7unE4oeVzrRHp6Z02e/OuPwFCQ+LzR5GdZ/zk5FZ+Erit FJpDEP8hrhrfIYcEsVrxGF603+JKX0jZXhaENH6crUP+/oZclryG+C9hbw7h QP0n/YBsyKQwDo57vKw1EP8xHLmWnW9woN/ILVqD+Iq7PGHWaEWApujZpBso X4PVu1YMRghw7WHzK0T843d8jhp74HBlvqRzN+I/bU3663fsBHg4cP+pRfOp tXidywPUT1dZySQhvl90FuzZiPRfSrxhOIv4562dnpdIR/1Ra/D4H1QfM8dH n7vpESB9ePxcJ1q/qWnQYWkGh5UVx6suyLZTX5DDbxIwqfxB7Q6KT8DEOzum EQf99q0jFJSPy+tmRpXdCNg8aHaKG82XtXDhPStKgKTmr+dMZIcvW3x0R/6v XDUXH0f85Ul7dqlqIL4XB0Kn0fhhhXAlmREcEuQhYbXfCDc+s5H8l4CoWzzN +5F97OVyd8I6ArRt/A4PrdajQu+gJBMCHjd5txasfn96G4Z14Tjw3ntqlIzs kclyzQNbCJAy0ehY5d8vUXzdbeR/fogrzB35V9fN8runSsCDJR5hBhqnOH35 +JSHAEb+w4zV80u25QiwqATsbBCbrVuN52GM1BEJAtjDTxitfu/Kc8obNu0h wEvmh8Xg6n0lVeauCxIQ2XuTC0O2qd7kAe1tBKjq6B5e9T/uEqL2GPlv0Xbe I4P8//d7BOX///77/vrP/j80tNNO "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl0lWUUGUYhtGZAaSlG+nuEpES6e4GaWlmlJYWpFG6u7sbBKVLOhSkQUqU EkTJfdZc7PX83zqX70nfKqJ2eFhISEgosUMjGys08l3QO6aeDr7rfD3Cf3zD dPbwhEZ8zXi2c5/PqUE7hrOWaxQgP/nISx5yk4uc5CA72chKFjKTiYxkID3p SEsaPiI1pahOW4axhquk4jOq8SVDWc0VUtKQrxjHNu5Rkqq04TtWcZkUNCCC sWzlLiWoQmuGsJLfSU59wvmBLdyhOD2YzC7+ojKtGMwKLpGM3kzjZx5Tj9kc 4Dld+J7N/EEx5nKIf+nOL7xmEj/ykEqc4C0ziWrnffqMlnzgPqr/8y1h7uV6 kaTEcJ/S4MeZJ9H0sL6kF9Hdx/UNU4ni/kkfUZeTvGMW+/mHzhzjFWPYxG2K MoeDvKAbE9nJn1RkBnt5SgsGsYzfSEJPprCbv6lDJ0azkVt8SlcmsIMHVKA5 A1nKrySmNh0ZxQZuUoTyNGMAS7hAImrRgZGs5wafUI4v6M9izpOQmrRnBOu4 TmHK0pR+LOIcCfiYMjShLws5S3zi8SFxiUNsYhEz2DHYKtg72DD4D4Ktgr0p RGka04cFnOE9oA6BkA== "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Tiny], LineBox[CompressedData[" 1:eJwl1FWUEAUYhuFdkJJGkI6lu1O6S2oJ6Vi6llJBuruUlk5pJJUUpTsUlO4S QQFpUJ45XDzznv9irr45ExbRLTwyNCQkJJZH0NMsoi+NKUdBohCVD4hGdGIQ M3iXD4lNHOISj/gk4FcW048mlKcQCfmNJfSnKRUozFW+ZzQdqE0izrCUATSj IkW4xnrG0JE6fMRZljGQ5lSiKNfZwFg6EU5ifuc7BtGCyvzJNr6hJ8W4wUbG 0Zm6PGQX0/mSJPzBcgbTksf8wrdU4T7bmUIvnrGfeXzCTTYxntccoQv/spc5 /M8J6vE3PwVbGXOGvuVYsJW7t77gYLChe4EGo58MdtSP9Rwrgr3dQ/QVh4O9 3a30CXuC78A9W//jOFX5ix1M5Q1H+ZznHGA+xbnFZibQlafsYy71+YfdzKQP STnPSoYSQTUesJNpfEEJbrOFiUTSgGRcYBXDaE11SnKHH5hENz4jORdZzXDa 8CmluMuPTKY7DUnBJdYwgrbUoDQpucxaRtKOmpQhFalJQ1rSEUZ6MpCRTGQm C1nJRnZykJNc5CYPeclHfq6wjlG0pxZlucdWvqYHjXjEz8ziK15yiIWE2vlU yPv/QwF9B2ypgXU= "]]}}}], {{}, {}, {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Medium], TagBox[ TooltipBox[LineBox[CompressedData[" 1:eJwU2nc8ld8fAHB7Z5MI17hku4gKnaesBiUJqexRSEJomAn1FZXIjBIZDcko yTmFpGFnZ2/ufZA9f8/vr+f1eT3nOed8Pue83M/79SLldMXClYGOjs6UmY7u /8/gcbP57W1NtMc98nCnNhWO3RRe7NnQRMn3zH2MdlDhCd7+5fJVTXTZw0zg 8dAMJO332bzyTxNFhCja9N6dgV/vPWIbGNNEDxry0o7+nIZKkuc4K4c1kT27 +/B88jR8/F6GO3lAE2Uapa785zoNXXtLBMy7NdFwzsfwxPUpyKbaIYF+a6J/ xjM7MLEpePVrplT6D00UdsYh4NnAJOy2uigbVKeJeli0shlzJmFh6KqC+hdN pNdUdbtVcRKeaBbbm1WiiTJobnwjihPwsb/D8bA0TfSL+3vyxtYo3GRTOHE+ WRPVvVSKf1Q6Ct0y5sz3JWoi4YkgNwvPUajzLcJqNk4Tqe61pJxrG4HdO3Mc HSI0UYAHxXQ4fRiSPk0GYpc00fc9abaBHIOwkN7vBZ2OJkqTI4839rbDfacL WFI0NVHgzDHtb7zt8NuLwYsUdU2UVz37qdLgDxwwMVdxUtBEl5jVUxpzW6Fw nEpZtZgm4otkPJDg1AQjRCfqoug00YqcTsLPq9XQRvPCNNcPDRRAu/rvQvcb MBb52CznmwYa/yJ2tKOlGPi1/3yrX62BLNnKnXN0ykDc9QP+3pUaKN90Nk9o qxJUw52bjW80EGXSQHBLrxaomrZwJyRoID+7c1b/DjcDZlcTjV0XNNCNp0l0 h4f/ghY7ivX0WQ2UZ8PJ+DipDzy1Ebv12UoDvRdUHyg60g+0TfFaR3MNFPHr 4H9PLAeAm+aTswUGGmi2M6NT//Ug+E4/HqarqIGUvZWkDuiNgMfrTTk75DVQ gse118/vjQCHxYof/TIa6Gz8sae6nSNgdSJOMFJcA21cGfaf9xkFik3aeb94 NZDnlPUhUvIYiH0a1XhhmYIKDnKkrldMAJtknwW1BQqKlBVt37E+AWQf2e5i mKOgI40GKTIHJsHnO6rOuVMUtJ/++feTpZOA5tW+RPtLQVxX6uLcM6dAhRsS +9JNQeLfKsMtOqZAlEMBltBBQS1Fx1VVuaeBpGXIPZ1mCnJZMxR6GzQNzHXl JMJqKGh+44BMBjYDdu/lNbD4QqzfI/Ws9coMmFBdc5etoiDlJ3QfpjJmQLh0 w7vv5RSkf6je//3SDDix+0N7agkFNT5zSnGUogJR4efrXu8o6KN6gOXkMSoo Zg8w4iukIEGe3xyhqVQQwujgMfySgj6d/Th4F1HBsc2j8aUvKOjEvYcsF0ep YGhWvOvsUwp6Zhful6xEAwKdtV7PH1IQr2Ur54t8GkBKz2Ii4yjo/msfgSe1 NOAVeuuF238UxKztp2Y/QAPf5DR7Fe9QUDKbW6YHPw78bnCvcEVQkP+Ixo5X CjggNUwK4CEUJHxHvboK4ODGtazj74MoaKvt8UfLiziQr7/pnniNgq6HV1xp v4GDtt3WtwN9KWhxKOOsXCwOwn00Ms9eoaBHq/yNBuk4UK3Z8UnXi4JM3sdp qhbioGfnZLv4JQq616u8NPIBBzGeNfPbrkR9MksfutfiYC/M5B5yoqC0hOex pU04GOK/qVhjT0E81jLXG7pxEO9mZZx7nnhfKbX4bhgHehUUp5izFNQZYVRg P42DyR07QjysiPuQtmzWMYeDJMeJFNPTFDS55fJMZBkHBqXVparmFBTKG35V Zh0Hs2yZzbxmFHQtlvXJ8iYOMs7foM4fpaDTLCFLj7dxcKzoDPsfYwp6+U8r bJ2Ilxkp5HIDCrpoeERdiYhfWHMdSsEoqComk1uW+P5U4fj5m/oUdOAFVXVs FQdbW1+DLhwg1uMuKrq6iINCi6ePgQ4FWT5Tgd9wHNjkXi+S0iL2u+D/cHQC B8xrlr8YKUQ+RrYeDQM4KDZTnxhVoaDD8/7J4R04sH/GyfRdkYIEgnYHbP/C AdfimGSBPFFvDtdLR77g4OORr7qxshQkUyw2cr4EB27pGdbeUsT9XvvirJ+L A4HZID9zCQqSoty9OpWEA2RgGa8hRkG2KmbPXaJwIDrNUbckSEE6By+vfXXE Qd3BsaFOPgp6X5x1J88MB/6PvmxVcFOQiLLv+oV9OGjYH6QdykZBKac+U3U5 cHDz/mkLR2YKMh2xVXSbo4E9g6reBgwU1GDyu9m5gwYiYkZzWDfUEWuHiv3f TBpQ60VfJlfUUdrFWw7nImigVy39789FdaQoacr4zpkGtDsshB7g6kiArDYw Lk0DU2QUKTKsjjbTFo69TKCCJ9fTstb61dGh7zIXmC9TgeHvgMreXnW0tGM0 yciICp76qyxktasjfr9Lj33nZ4BFdaqzwg91dHjO/UkhmAGybSN9dd/UkYy+ 1zNtrhmwNKJq61atjmKDf/KFd0yDFJZq8+xKdcTe8CPjgsc0GDg6rS/+Vh3t Dqz9ciN8ChTb7v34qVAdPdsRv2JkOAVue4Zq2eapI6EUq7kR5ikgd19A6ckz dXTk+iHb/DuT4HKTrgjfY3V0z6HJICNwAhwcvJPw9oE6ev2Cyc2aMgF45xu5 T9xXR11qXNsbk+OgRMCF+b8odWRurOWw02YcrFnFzjNdV0da2Wlco/JjIOZv 76+VC+oot+n9jenkYWBLkzvyxFYdkaprNhcODwPlbZ/qvdbqqIbZ6Yz0zBBo JDFX+JqrI/fP2TtWdIeAsIvKy5nD6igqeS5yq3kAZE8Fhw/IqyOnTBe4s6wH 3MT1vR4Mq6GNe7q/ozZ/g3RHnQnsrxqyVCHtOOX/C1S2qrvMtauhb9/eMtJN /QBb5TLnLX6ooZyTewOOttSBiDB2U8F3asimNRc7kPwF3OP7o5Qcoob+skwf f7v7BUjV9JrO3KWGRFfE3ghK1cBPOa7u5gJqaH9K4qWYt7Wwd6f9MN0ONXRp kB7I6tdBiY1TPY50xPvdGW5JZ37A5zU6P2XGVZEc0znmHr0mmH+GsfBliSqK j6V9rMfa4YfAVI+3J1WR2LjCyK4fA1Da5WpO5xFVtGgwydsnNwjvmx8ZoD+s ii5bTRR1RQxCJ4WlM5Zaqii4ZfKO274hyNlz6tCqiCriyJfb75wyDO0OsosY DKmgxweOvb2iNga/Kw5YePWooFPU7aLvwWNQY2f5/cQ2FRS6JlEu+nMMss66 ME58U0HbRtcq05zGYdEzRIstVEFn+Xma30VOQEbmoNp2fxVk0Llgf/bRFPSe O0FH562C8s/5PilrmIKdf8m6Cu4qSEe47Vw3+zR8VdZadPOsClKPK/vpcWsa Wl1USycdVEF+8V4H3C1mILJk6Tiqo4LOp3FcLIqcgYqH/vL5qaugjpkAqVel M3B713/RtdIqyPmWsGWxABXm/Rzz9WBVQf0K/P1VkAr5P3x+nUCngvSFkLzj OBUGv3g8UbmqjKRvrX7P2UGDFsGH7XhmlJHipWPyPFY0WHlpV8q+UWUUGfY+ UT2IBuWsZlsd+5TRz8GrkJpMg+uqT4+WNCmj1mfctnvbadBN7Frk33pl5FPv vlU5T4NNrKaQpVoZvY9Sru3egcMDC9JrapXKSPCo2dX78jh8MbCqdbZUGYXK mLe3Ahxy/266EvFGGb28Y9f5ygqH1z++LCh8qYzaNCy8dnrh8MSjM6StFGXU Fc9xNeMRDm9o8Bw1SVBGfdddkj2ycZjb8v3qg1hldBfnVGstxmGLb0Rq1x1l FHz8bHQ7wuEWv161dKgyoue2Z/T/jUPF94vTnkHKqL9pVrCwE4dWp98Kll5V Rrl38/VvDuEw4t9F/S0PZaQuOsc9MoXD1wnSbiYuymhblV5xdA6HnZq9cQ8u KKNznpMgZBmHTG2J5V1Wymhj6BHf23UcqvufHJA2V0bcg1+vBG7h8LwgO7vX UWXkt7Fbt2MbhzElXymlh5XR/uuyLg1EXGJ5y3ZLlziPZb3p88T4gYW9t032 KqNDlwsGIoj5uBLxwgeqyuiV7wMXjFhv3978ti55ZWTYNpubSOzH5Y/TprSU MnodmD8eQez3wbXdcl6ixPn9dzWAjcinUqj9RKkAsT+m9mI5It+J0vjALS4i H4+9XH2/cChodTTLhIXYL15Br0bUC1tiqH+wrYR42mykRYl6eiZVznWtKCFD ma9cWc9xmKQdICozr4R+vnW+8uUhDr+2qxl4TSuh5ovn2UJDcUgLmPQsHVFC A2v+OV2eOBTdmf14668S+oCEZVuI8zUuP//ZpEMJrTEevnoJw6GvtfDYgyYl RI67fTdrDw5/PLmrI1OthGw+LNvOL9Dgko6Bg1elEjKdS7Xl6aJB6c6NmNJS JTS0JVbc9IkGb4j4dJvkKaEGZPHUKJgGcz8oMD58poTMO0b/rZ+jwRabYaXu VCX0L2Re+vx+GlRIsQr2uq+EDl06s5c0S4WW+3lzS6OUEP81ZovoeioM66pv 2ApVQsknqiqePqPCzl36pIe+SuiPmUDUqBkVxqTKVJdaK6H4k1GNrE9mYMmB v9Nb5kQ9zDLfkt1m4EB3kuCRY0pIX3IqjFFrBu4T43Dr1lNCx8REu1h/TcOJ tFm2bSkl5J63/sSfOgVNMj6fODKjiIw4He8KrkzA2fu9G0xjiijn4HsH2ocJ mBqyXvClXxG9YhH88SdoAs7Y72fVbVVEoumnVDsWx+Ej6VKoUqGIBBPN90+P jMG+l6/UBWIU0YldWVyvU0ZgQHEaf5+MImIyeR3aONwHSdkVKFVcER3TtU8r 1uyD9Qld3tY7FZGacej9yxF/4e5rO382cSiiy1fcFKJ298KvOgm3q+cUEP9Z By5Gwy7I/fneQh5UQO66HGkWbq0wt+56u985BSTJNM/S/KoSpmgEGORbKiDf MSk5R9OPMDbDt6jPTAFVk388+j1VCn39PO8dxRQQu9yj52+OvoH6khcOSpIV 0OqbTX9jyeuwLQDL/UHbg44pmTZdvv8RMMixBkhF7EGbo6Ied/NaweIDxmGr m3sQfdlFl/GANjCxvn0y1n8P6kl8fvGs4R/Q0LyisOy2B01vRCZZ9raDlOCp v7+OEzHZBrzc7gLqf34bBQntQZPKJ4vnmQeADPaj+DX3HnRO2+vMC+cBIFz4 TXKYdQ+qZ320nYwGwEYYXDVbk0eZQVeLDwQNgjrld69l+uXRPTnfqJm/Q8Au 8rFQY5480uF5mfogdBQ0gCXWoOfySIVSd9/kxygA69ZrpHR5lFYofVdGcAyQ fMX6fePl0f0+LzaQMwaG7J/nCQfII6Vhb7nSynFgIcaUBq/Io6c7xMWN6CZA dbvr/YuX5JFzitfI8OEJ8MJMwbfivDz6eCovyKB2ArjpFunaGcijMzUK/QZV k6B9iU+VVV8eCQz3Yoxrk8Ck2I9UpC2Pku2YUj5rTYE9CjrMDIrEeBmPrV0v p8CUcFVDDq88Cr927Zlm6DSwbZH8coJDHvmsRvnFFk+Dn/fD3y8zyqM5Cem5 hpFp8IrJKPnoshy6N/tJiN14BnjP/3Sk/pVDVtkmYeLrM6DvtYplUoccmt/n 3RdHpoKTl+KNQbMcMgjps+45QQXqAxZKD2vkUMg+GeXtDCrISisRP1Alh/5b eefZWk0FfNbCvMPlcmi/tsSDWxNUMP+7a0GrUA41JqJmE1UacLqrO/73hRxq aU6juJ+kgVbDjK6op3LorknF+pkrNFDyyaGq86EcmorQ6EgvpAHZwK9F4f/J oZWUtnvzdTSQqCGbrXhHDtlYOlH5h2kgIH88+laQHPrIwHf3rRAOxlyO3iD7 yqHfXSm1Cio4sCYVejV4yiFNvvlyDwMcfO/hsg90lUPfL10Pu2qDg31PvE+R 7OXQ3tyR4/peOMizaDKot5FDau1Gp3+H4GAXt4a2r4UciiEL9pIe4GAtclG0 xogY37Ray/MWBx6Y9Y7LQA7dvLNvNr+S8NT6h22h/XLo3SGgylyPA9Ny0fkq DTl0+/cQo1QbDip9b424KxP554bTb/7FgbJqXzuvnBwKdGKrSR4jvDMJ6j9K yqGh+MWFf1QccOc8++S0Sw65S1w4xr2AgxAHxjecAnKIz3A6anwFB0WNJnFt XHJoVfPoDZ8NwmcHY70zWOSQqZl8VM0WDgTfNJ1wo5NDZkbsj4cJHxmLC6mp rZERGBVN+U3EQbFneVb+kdGar3pSBDG+YD0DR1Qymsz79oSBmK/XY6jx7jgZ +ekzlJkR63F3yxVZDJLRr9U3gi7/cIAd9Xwg1kNGRx0ODhsR+/X98NZnpI2M VIZqz/8bJTwmv2D+uoGM+HI26ryIfNuT9lECvpPRv459gcWtOGBjCeYDX8mI P9nre813HBy49mWOtZKMnrtKk18Q9fQaYW5pKiWj2D3XGU4R9X56+lhxylsy sq6VHPyZhYOmr3GPnPLJyP2wuZnQQxwwaLT6KmWTUU3wjz6VMMJbvOc1PyeR UZiQMEejLQ6SQ7MEoh6Qkd37Bq6zxjj4QRv5d+IeGe1efMhSqk74+PflkoFg Mip/HK86Ro8DB73ix/mBZORU9Yf0eYIGHhUu+fteJaMZIZVHlxpoYOlu6F4m VzISuWK4ZJxEA9D4YZm8KRm9WGw8rSFCA/Olf5JmjYj8HCihrYtUIEsWDfwI yAgxxZ8+3UIFMYzZOsc1ySj3Z8iFhWgqMEclH7xFyeizjIvkyOgMiFBbTdYR JKP8u6xXnlfMgJKn+tfpuMlowiz1+PG4GSAS/G3/I3oyOvK12c1ZYwYM7O+s KJ2QRdlBFtF9l6cBf/7utJAhWVR3/JqV9IFpYCjieNOkVxZtarZq2jNPg7yl Sd2uRllUXH5s16/kKeDzfr1yo0wWyb52K371fhLQqUhCgzuyqPnbO8/rn8bB LeFDdndCZJFJvavAI99xsLzttPktUBaxIwv5rD3jgNaSq3vMQxYt7jj6Nf/h GOgJUv1gflIWfbI88KDZehSU1ei/u7BLFt2PMVeNKx8Cl8+fzw58LYO0Um0K AewCE0Yhhz/myqCYrUAzidVO4KKWNbiWKYOC57IZBymdwJZhRDLkkQzy3s0m rp3VDo7keaZHBsogQx69ol1XW4Hswo3Eh4dk0MjI3qe3OupB938p0YV/pBHP 6R6jgugQ2FpLeuXQKI2yTTN4zXUew1/bL5uE6qVRwGe6iiXXLFjlV7YrrFIa TbNmTHuvvILPz7UWWmZLI3FD/9Qtlk/QQ2lH06aPNCKdvyhpPVcP13+EiZhz SaMMkzP79JY74QITmz4zizT68WhdRr6oC9IOxjtWbEuhEvfX9QIXu+FAcUaB 7D8p9FyVqedPWw+sSa3QW+2SQpfJPuH7nvXBWI8Fh+cvpZDI7EWeyu1BeOfF zTvWz6RQ5pZVbpbFEAzpYyjgSpNCHvwK/Y0vhqCPBd+/gDgpdMQgNZreZBha HlC9c/yaFFpnXQu3jRiBuzku5i8clkKOEjxPD7eMQbuqX7HSelLI3YTpob7E OHzmS/Ex30uMr17PVro0DuV61rRfyUuhW3aXk1vXx6Haq/s1zlxSKP8NHrwk MAl9HeZfPmSWQmp6rP0q1pOwRND6P7hFQjIiu6IPpkzCfcEkC7E5EnpKt/9D /64pePjE+/6WPyT00roQb+KahpEMItV0jSTUvbV0K9x4GtaV3cpV/U5Cbz6f bVoImYamksaX71WQkM2RysRdM4SnZjvXDmWS0OQnQ9ed5TMw+YV+35VkEvqR 73E3ZWwG9tg8/5LxkIT+yB2J/SlIhQ5fPGNWb5PQt3LvTu3LVHjp0ZbQu4sk 1Og/nfCP8NIrY+fVPkcSqlldMv2sQYO0tbpernMkZLvn+295wk++zg+zL5qR 0HqPTF0n4aWSnUtRScYkRL7Gum/3Bxpc/mnrUQNI6Kx4lOPaHxq8pSVLIWmQ 0ESYeHg44aWqiRjBE0rE+iGuc/KEl+gzqMs3ZUmo172G24XwkuEpi558cRJ6 4HwBahH9dBRzeVWHMAm1ubevJhP99vePYs+ZeUnI2MSlNp7oxzm8w+5oshP5 bf3ZL0L4yVR69KIjAwntP5wZSiH8JPE6IVliWRKNGA81dhP9frbQBfsbk5Jo 5leQv8AXHO4JkZNr75FEka4bdd2En16N4TOUBkn0eun3XvUuHFJOfnx/H0mi zzd3HxAYxmFZecSNyWJJdJNh2vH2NOE/kukhoxwiHhE6HjaPQxgjxPbsiSS6 rWf9gn2FyGeur2HjriRqeHJMRXIDh/Vn8xJtbkmihaErZYjw0ImvV8+XeEui c49UpGiEl1oVdWV4HSWRNEuL/UsitklgmvI8LYkuKDy+NrOJw7/rv4vqjCTR B9OEgM9rOHRyeRIos08Seem1R4su4XDsl8PBUEVJlPbwaD/jLOGbvYrMPbsl kQL4XH19gvAI88eXATySiDTqs5jfT3jzj8kxfgZJlCmrO+j/h/BhTvvM6wUJ 9IkvarW7Hof3rrnGHx2XQOaXz6HeShw+MlqgjHZJINd/dnU33uAwVeh2W9gv CVS6Vve29CkOC0qzdn14J4GyR+yWmW7isPiOWuXpFxLI8b/UMVF3HFacqbLD kySQc7lRR9MpwkOLPdlytyTQRe3mKJIM4dtaD+Ov3hLonQPrqUp2HHYnrk5c cJRAxW2HNDdoNDi5d6dqorEEihE7s+VVSoOzzLlN6vslUOzxC15ZSTS48kfL 75eSBKoBrzZuBdAgW4DFB0Y+CWStwqalQ9xnXuNB20xGCaQka9u5k5sGRYR9 Ng8siSNtm3MpLyeocE/Z/cO+PeLIMP8dd08KFapH7R7d0SCOop2Oakf4UOE+ q8LofCSOmEZpDv1GVHhk6fuvgRxxZDnnbFQ9MwPdtZmsT/qII+n+z4KXlGag N0vC6pSTOMKWKj4sL0/DgHap9Kgz4igk3LvXtHoaRgWAwc8HxFGOAd3Uaatp mFt2w1OZWRyl7NBk2uU9BUe150LZU3ejnf2tmfVuhI9YwqRzYnej85o19POk CbjQzl2Lhe5GuzplaZzd45ApUJkjyGU3imut6iUdHYey5e6Px1R3o8LEpvY9 YmPQWacvr7paDI2uSPdlPxyGbnk6VsblYshZ80eW9uFh6LHrIWN9gRg6J/fv 2Y554u/nuoFdw0Mx5PD2d/rjk0PwFswX6LIXQ8fWObMvMAzCxybXQmjrosjD fuPlmYRe+M2ay3KXlii6c2b7+BtqE6z/7kqfLi+KOoTXe3KUm+Cv/fCNhJgo 2lrbE7T9pwG2iPmyyzKIIjk9thH850/Y399Rpdq0C716WiD8uLAWrrhnKxh6 7UK5qkHSHHHFUDHowLb3CxGkz/U+b/kEBOjvCcXhJBGk9eehr82ZL8DKwPmM 9V0RdK7jg7E3QzWI4I4tBN4iaOdmUtnK2W+g68Vfa959Imgq6x/P1Y1fIKY5 rOjdz51ot9cxZbXtNiChk9hDrtqJHB4TQPj5B5Sk57OkFu1EnjGHqJ+T2sGA e8v5iMSdaCHI5Qam2Al0tmTYT9vvRD7tnDF0hj1gTLHOcWFeGEWuzf44lzEA bj3oib04KozSOkYZU1cHAP8SXt7bIYwORi7GCZ0ZBAe/iHDXVgojCc4UUMI+ BBKtPSoSo4RRqpf6HclLw8AwcoeAjqgwOq9SInV0cxR0T0odLOQSRg9Ytb3v HB8DPie1L0luC6H0hhj2r8ljIE3UHrKOCKE1AW5HVfVxMF9U5Nn5Wghxhx1I vGYxAZ79PV1z/ZAQWr+ga7DkOAU0RjTW2rSEkHuxi3FR6hSomeJTV98jhGy6 3153aJkCY8uNaWPcQoj1ZHR96sFpoMhv6ne6VxB5jcf/0OOYAZ9ElPLfNAqi /nmm6ssHZoCpJEc/e7Ug+q7d+C7yEuEn5e/HUL4g4tKPlLlQMwOKjQ2lVQIF 0bH7uZnRXlRgYCZjE+MhiO6eP29cnkAFbacZ4oYvCKIi3ahL8CMVLDmg1RRD QVQf24WdZqCBaPdMtUUdQWSW9FeyV5YGRLxDXM2VBBG7snyzjjEN6N7Ua2bh F0SOQSrhTndo4Fe4GKsTsyDSuvKTTS2bBuxi1vQ+rwggO8F7/vWQBsISP+T5 9Qsg2TWD+86LNMCX/qSvoUUA8Sm/k3bkxsHz5wGCit8E0Ngfnct75HBQ81Yr bOCVABq97BbIa4GDM2UCZbpZAqjivH2Ymhvhq8r56aQEAdQ6LNsseB0HgdXN UvNRAsjl2/QreI/o538UWZvdEEBbmarOamk4SGmKv593WQAd+l5y0rkAB4od 3tWMjgLo2afkbtsPhIf+mq3aWQogXvYTQUK1ODAbUVarMBFARjW5+Y+acNA3 xekqpCuAPG51rjd348BnbirVR1UAsZSHsbUO44B+pb7pp5QAWqHlXUucxsGj rTwWeSEBdHznj0WReRzIMMfoRbAJoJZnjSYXlnFQwunu+3edH7myi+o4rePA iN84bx/Ojwr6w9LkCf+0i5D7Eob4kZmd5dnXhI/cJZkE8T/8KOumneM/Il4h Dx89Vs+PUiOGi1aJ8XeVv4bmVPIjadXnpxDhJVHNZ6V0RfzonUnrWZNVHBTu D5s+l82PTtXvmYkj/KaH2UuVJ/EjasQvnSc0HPw2PmjNf48fkQzsghzGcWBn Jn7/cjA/Cro9tzjVhwP89MbX7z78yDyZg1nnDw7CbHtWZFz4kbtLGovRDxzw OVaohlrzI/0H2+5CVcR5uqe4dB/jR4FGK8/zinCg6R2UuvcgPzrv/VJ/+xlx vv7WTQ8o/Kj4+r0fux7hYDxcSM9EhFgfxRzO8MYBR/BbPIGDH9X0G52zOkt4 KOho9sAGH5IvmXiXeRgHAd7BHDcG+ZCTWujpcV4cpF7aWfWtlQ/tK/swOk7c ryqXd1cFvvGhs8tHDIO7aIDl3GjnqwI+9Jz36ivPdBpQtAqNXU3nQ4ZHfSLq btLAiVO7MON4PjSzx//z57OE703MXvb78aFn9gJFoXyE/7VKr/Hr8yEurQHN uz5UcETtpIK9Gh/SFBvwGDekAi/Fyd5CKT4kYtJgRNtJBSUkcUMjFj4UxnF1 79bHGWCw4w5/UCMvOiVHH+lCmwZubJLfar7wonbuj/8MP0yDe4wfr/OV8KK4 jTNaA2HToGV1ZqAgmRf98rW2O8U9DZzGLN/+deRFMj/smS+JToGoQZqToiUv +tg+ddijexIU9MYIBxrzIosIcR29lEkw31IZzKvEi2Zbqw3sBCYBQ+jR5KgJ HpTyuWdqbnUcAMpk86kdPIh+lDHsQMIoiJIX3z89x41YqoVyfxwaBQ3ip7Ii 27mRuvHEZUd8BNhxfPQuz+RG0g7y7MUmI+DWcAynuAY36vVrHztOHQIViXuM Jqx2oFgx1xsTPAOA7dy4M73eDhQksj2z4tIPrEi5EaJSO1Bd58ORz3l9YL5A BplOc6HL1hwymPJfoIAkdN+FciHOhkxbftlukDwlSLmRx4kGSiuLQ/pawTVA L861xo62fth4myxWgK9MSJfcz47OlYKbz9PLAe+PENuDNexoJ+V2zPzhEvDK cuOJTxw7eqoqcJVftBCMXFrm/yPNjmKbg2zbdXSBxWMq29PjbMgp7sEzWVgB 1Se7FtQyWJBJnNmNuOZW6D+rorAzkgVFhw28EHjQBj8sh1/Y8mBBe19vXW0w +wMPsSh++7WPBcWLKzTWfWuHFjI3nlxqY0afj2Pu26+74LULogeyOZlR+D6m gRPH+2GFi7f3vXkmtEw1iG1f7Ydbnl+fX+1iQtHX7tY8PD0Ao254cGIvmZBq ns3l1a0BmPykorf3MBOiigmXdZgNwYpm21DhG4zoIWucLVv9CNzqfPN+04ER QQHosCg4Cg8PMEyMmDAiyjak8juMwp+0AvP3Qoxoh6z1zrZ/o7CXc13K/B0D sg3ubZbkG4ckgZNWOskMqNPaj+6w1Th0Fc2+JxHKgFplAiNDUschbc/xfzOm DGj8bdxOPaL/2TZKq7k7QY+EJUTUIkiT0NAMX/FppEcCGewP1ewmYYylgYpN GT36KPfs+HDqJOR1nk6Ui6RHN2NHQiz5pqB0mK57tSQ9emrJRZOYn4Ju0fFp BSz0hF8HhqD8NCyIG258SKVDT59YpJw5Pw01M/7b5/CJDok+dgfWX6ehYUUP +6YVHZo689AtOHwGvinI2V+nS4eiA3VKTYtnoEjalUsPSXTIEklzNA3OwPZl lkfH27ahw0sDMKVHhQWdqXP9GdswUzyOPvgiFYZ8VD3l774NrTgD4z49okLy TSvejLUt6KlT7681TIUr56auUGq2YO83TMmTnQZ/6YU01t7fgvfDM9yMVWnQ fysnjkbagufOnGwZ9qPBI/37aRFTm7BK2ezv88c0KIZ+m+0s2YTRvLnSdCU0 +DV8kQsz2YSyQOxLPNFfJznd9Wrj3YRsfcgfEv33JQPxXxe7N2BRw/zOGKI/ 15N9p7SZvQH33b0UNqGLQ15mo/8eXt6A4+2yj/stcDgy2jlF1tmAMQ+Cjnpd xOGHb17HKug2YHumyMv7t3BoH/OYfThhHZIS1b/fy8KhxqU9lwIvrEOOUxbT LkU4ZDlW+Z1Tfh0O9skFNFUR/b+i+Z6s2TWolNb75ddPHL7hHInWqliDexwP 7DvbQXhlJnD8++01+Moy9/S1QRye+c1pcsFsDb6dVsokTRG+e5OZOye8Bs10 wsts53C4EafJEjWwChc9OY1llnHYdKXOVbRgFT7NG+K4sU740Pxc7Ru/VYg2 2lrsCJ8FUHBZA/1VyPT64q1mwmPH+G9HdrCswntlf5f+H0v8Ex7xbFqBhQ9U DzsQ4+dbCwzoUlcgUOG9couY71vJwezHzivwpM7cUzlivZTEFgYFlRVo82CF 0Z7Yj1eAm9PnpWUoxsU4SCb2i1mvfTmFlqGoZ9bdm0Q+gvvipMbuLkM8gcfJ gch3QkQ6/MbpZZjIeaC/jahH5WrpALf4Mpx69Saqi6hXfPdRLHtsCWZmptG8 iXo6ffqbqVO0BLvj6j4nEvXWTr+6/fP6EuyTvFd4Ip7wczCzvYPBEmTNrw5N Jc7n74WUqgWuJRir0MZ/gzi/SMkvweJZi9BvVk9hhThvG7ozf99dWoSJ9YFv k4n7oDw4oWesuQhJN3XWmoj70vqcd8P72wIUcPFN2tFCg7m3X5xjfLAA5RNY LgsS9+2Gy75PT84uQEVnLf4PxH2UlnO4gWb+QfHpu7d7TtGgT/7bFT6Bf7Ca Vp9W9YnwF7f37cMD81Au/dap5EQqnPNV5vZ7PQ+PJzq+MfGmQl+9fJk2k3n4 X+y5NJXdVHit8fmJpFtzkD7N85ahxwzU1nLs+nZ0Dt4nm5xePTADl5IlXZaF 5+AB5/6ghxwzMNAp/brNu1lYIc5y3i93Gv6bUjq69xcOm4fHM/c2T0H/kjy7 JDeibnbHPumlTMGlYLL/Mh0OF/1JqToOU3CFVzLz414aHCj9lMc3PQk3tPkX 9TNnYM8er+DkhQnIcnsly9h3Egp2BlSId43BaNNrZS+5JmHSUbauyIdjkE14 /ifbywn4VfGuPdvRMciRP730o2cc3nFU2+VTOgp5GvtMTxqNwfv+RraCkSNQ RKx2xVpkGK4rnrI7vz4IrdxknrXc6oL0d7SWy5o74b2rfjGPSjthFj1nwJNd nfDzreorFrQOyCAeZhfn0AFlE5wPtti3wySZ5zd6pv/AeZjd03y4FSbMVgh9 XGmBEppHlJ/z/YByc0X4k+F6OJuc4jKXEgG13OqfDRDPWwyPa433XQJRO7QV DImnaqpznaB2PCjSk0+t3RsPTmt2VkYdegEYlpiDlLEX4Kqb52TN4zKwdvB0 uvH9MkBHV7rtXFUHBDff+zxJqwN1v7ruaZ7uBAW6qa1nqzrAxaDuunNKXWA3 7yfx2KhOwCbbwxTJ2A16yzVe5Jp1gWM3e0Pa3vcAPS6TJZ/ObvBLod/3mmA/ WNYWinLt/wsuGvi+7pkaApes3EwL/gyCfSnzP3GrYZByoyyATm0IsOG+U4zV w4CBa9/e6OghkJ/qJ6+cNgLUJmlFwtrDYGrO/9ktwlXa++T/a44ZAV5ZgYni ryZBhsaB44H040Bvafk9RWQK9OdZqwiYjgMu06AWo8gp4Gi4fSIncRy8Xg7i 8T4/DQIhA5ZJngC0EzfuVnFRgXFQNfvDfZOg6sXay5YgKgj/QK67c2MSxK3d +DY2QgW+sX8GrT9NArXcm4w8nwnHRP73Jmb/FPgQUlX1VnsWzPN9YWqUnwZZ +Vu/P3oRMVm+2MFhGsS0Hfxb/XwWFIu9Fa54Mg1sFOF6B/ccmIx9u7eCYQas /oH76MbnwLOkJO039TNgiI7uCIf4PNCP8X2puzIDfihh1oKn54E0J1N2CJkK UsPRtT1wHjy5PqwjfosKDqh8KTZ/8g+kNxhxxOyigb1t7UlV9f+Anv9fezVd GlC/OXNDeeMf6Luv5Fpwjgbk6ncasDkugNjkjVDhFBqQ8lGRD0hYAPy9ZzSZ y2hg904DzpHaBdAzqtDytZkGBFy9W6HiIrgU3Bmfy4wDbq7IcpULi2D4nW7h D3Gi336fkpYWvwherB0s/KiFA2bbt6HsXxdBrwfvK99jOKCjr3UOXFgEzA9G /yzY4WD9ZbfJqNwSCG9mvAB8cbB0Ylbp9NklcMXme/ipSBzMpIstqFYtgUf1 54bqXxD9vQGlM312CaQ4pveovsfB0JRxJYfMMliR8KPaIMJXD89nBZ1ZBhn8 ookmv3DQtc83ciyaeJ/Cdn6tHQdt/dEXLSuWQdjKcofPAA6aojJMv84sA8/A 8YKCCRz8VHmvri65AoI5Sbdf4jj41vZd8OmpFfA7TEfMfREHX272rXBGrgBL ZYEDk4SHKqUXeq+XrQBFmalilU0clNezfxmfWAF+y8auWoSvin0kc86IrYKf a2z6m0T8eufeu9Vmq0CHxVUjhojzqo5dpoStgoS60aN/iO9fuDqcyixeBQGP PR+PrOEgkytg747RVRD1VUmtbInwyfv/dt3cuQbO3nlrcOz//39o+2xz4uga aDzVwvpsCgcP6csHrW6tgZ118HPFEA5i837V1rxZA1bic++fdOEg+uRQvsbg GhATVTTa14iDiKXl+1kC6+DDvWud6dU4CM7Y4cttvA5eGUoN1pbhIMhQxupW 0DpQffWx730eDvym9x2YKlgHCl+YLrin4MD70QkJm7/roKx4499ADA489rsw fOPZAK6r9SZSgThwHbg+pnl4A9xeqWRTcMGBQ3T8j2f+GyBdzuTfykkcnFfN ecPzcgOEf/7X+PAADixuNQVMc24CixKNKikuws8yY7ZnD24Cl2WBDNF/NHDk x/rBOp9NsBqRzTbQSQMHReRZs/9sAjr7yey2LBrYD/Wmedm2gB12gY7lNg1o uVk0hhzYAmFzI4fZXGhAqST4iW3mFqCU2J6JlCbu/7mEm9+bt0Ccp1gRHR0N SDPk22szbQOBzZssp3upQMS8TZ7/0jaYm7fQDX1IBQwBQr0uu+iw7JeG5yRp M8DWoaDlgxYd5hlfNV1VNQOKj4F6LnM6LHFwi4cnbgY4SV4qK4miw8KOhzL+ 2DMDvn6vfMC0QIeVV3f6zJyYBqLvT0Xb8NBj2RdZuS2EpoFvxljwK0V67Gi0 TvbN7ikg7cvraelIjy1vKoSQHafAbTEXoxcN9JhtAv1/0g6ToJd5VXdlkh7z fLhr59LuSaA1e1/DlJkBq2UPS37ROQFGasolF3QZsMD+/ZtPTSeAoTfnmkE+ A/by0JkPzvLjgOlL8Zvh24zYoc8gQaFwBJwvNMnRyWTE7tWuretbj4CSxN60 /yoYsWsWIhyuDCPAxYPlruYcI5b6xSNl7cwwqBWwdb5tx4Rl0c05Fc8Pgig3 ehGZ/cxY7xvlrQ7OPsDKZR7uRGPB+nbltAq6NAMbeVukzc6KnV7e4JJLbAIF h122OWRZscrUitjVe43gxPWg4PdnWbFua76Qg0d+gaSxrOtMtazYrwE1cb+S WiD3Ze5qbhobdsd1ziW6rggYBSQ4TR3hwJocPZNy7L7CpIcZz6qcOTB16pu4 Haw1cOLVy4FHIRzY9wL/I4/f1MLY4U92uiUc2JejpKfv177DNvMR21hJTuxW b2mu5p1G6KK097TqEif24Q0QSFNoh7cH2g18s3dgGtGjcrVCg7Dv4/HLQZU7 MDg/WCPgMQgPJKCkkD87sFd5WdvlnwfhrFHB5D1WbmyHenTMgtMQtCsMjs/2 5MYMZSjcYy+G4YEA2Z42TR5MWu3MbUamMZh0MoWpx5QHy5r7UKhrOgbn9nCr DrryYFqS//JSEsZgXs9yGPUJD/Yx8eChSslxKHzopxzLBg+Wy82QfUplAq4y 7/8o5sSLmS/z8MSITcFc33+/n3rzYpvC7I6TllPQsv/1kNRNXiz1ww+eo/en YNEHaa49j3mxxK+G+Noa4SdPLnutb7zYG77xDlr9NNH3fPMrb+HFLu29T2Vb n4ZfDcNjDvTzYhFtP/X5lGaguMTSO2yFF0tigdho9Axsa+pnMlPkw5yqh5k8 tKgwQj91V5M2H9Zwdqi75jzRDxZYqp424MOCIy+70UVS4X+3663PnufDSEer 8gUaqXDf7G2v3ot82JGohYiJeSocO38w3P4aH3bsXYllshANHtZ+X+Aax4d5 0Udn3ramwdnnl+FEKh+GZjMTKgNo8CnPnjbPl3zYLNulgJ9Ef7o6kb55FfFh byOFb7r9JvrZM9b8i7/4sGR1ab/ZcRq0/MonH9TFhwl/OcRiSo/DorQo85B5 PqzRYGyPvzoOfwpEjfPQ8WOmr0a42Y7gcOy/OyHPdvBjUhf6GLTscEjPdEdI U4wfK+t8z7zsi8PdtyJf1ezhx0oGQ/aYR+FQZ+G2gZU2PzavkxF7MBmHFl63 u8cN+LFDqRXOX/JweHkk4ur1U/zYY65uvKMchzHnI9g47fkxaSe72+G1hGfa wjPTvfgxMid/+OdmHFaZhmur3uDH6smq5//rxWFXTdhvGM2P8bY4JE+N4nBB L8zlVCI/duZ7S303FYc8paHrQ8/5MXUN5cRzCzhUVAl95F/Ej0XWJr/1WsWh UU6IAksVP3ZX6mffjk0cOoiHoCc/+bHXl7dXDhI+upkYbK3QReznwObINhEn 7QimVYzxYzufi6SaE/G7O7fumC7wY6FvNUgU4vtfmzd399ELYK50H+OfEfOP X7v5/gqPANb5+gXfc2J9BtqNY/TiApiff1C/Bg2H4m43Bh8pCmBpEgcNLMdw uK/vepDsPgHsgfrtJyx/cXja6jpPmZEAFtBuaXKsBYfeDUG5JqcFsDuCug2S 33B41zhIv8tBAEvdr/kh+gMOX1QFtnl4C2Buj/OfReTjEGoHem7cFMDCPX11 +FIIj74JYIi7K4DBfV+1taIJ/2ZeU3/3QgDT6r724YA9DpV2Xqs7XCyAaXi1 spCO4tA43t+uDQpggtVJVhkUHN4K9Ytd7hbANibvG7ps0eCTZV+ZuxMCGNeY gnrREA0WX/GtEF0SwObCBsuTa2lwwv7qhD6fINa1+/6YYTQNMnb6hDZKCGKT 1Le2nG40KGHuI+yoLIiFflFi9jcg7iN2xTDSRBB7LrdgqLFGhYh0OetHsCD2 qiih4aE1FfYke+mc/08QO3f52WiyEhUu8Xo1UJMFsSu/TM6Yb81AZXrPDd4S QUyHmnG1k3BM8uBFG+sp4vuEBJN7rdPw/dmL+MSyIBZ8UtXJPGMaNjS7R91g FsLS0InKTtdpyPTVrSSDJITxfzyifeDfFLzy3IV3xEoIu95oFHV3exLGXU9J j3MWwg6ppR77Vz0J35g37NnvI4SxJI+X2kZPQtqWzqG4u0LYz4vN7Mqck9Dr HKfvvkohTFKl4r446wT0ECxujZUSxpRPFdVHtIzCe9Nj9jqqwljF/ii21ehR WPBVbGbwgDAmePaI8xO9UTjpc4dJx1IYG39tYmiTPQIv/rbZOxgljLmI57sB 92HoFrWdtHdGGOOvexPk9HMARl3QkhlYEcYuWwzIN/gPwFytS2/vMe/EDu9+ /uex+AAcHWqp65fYiTX+YvkU3t0HXUDuyt1TO7GeBy/SJzl6odOKqW1f2U4s TSya3LyvHdp5pIpHh4tgvB83Ht1brYbrXewNc/dFMDsLy5kSn68w+ej1kPOp IlgBR3yiyjiCzXts+invRTCs/D/dey8+QcNxoWe9IyKYl1JqZsm9N1DB5aGs xpFdGNx18Y6RaDZYuBCj9JdbFHP5mP7kt81v8OD3co+JmCjmq3zi2FZ3A1DR d48tlhfF7l8r+MOg2gTcdhtTozFR7PqbISO1182gq5vxrYavKKYhUbdlkd0G qqxDNWL+iGJMN8TzH17sBndPBezXTBfDTjWIUaMThsCjX4per/LFsD7FpwJD hLPSTfqfksvFsNJgx2TXQ8OgSP8Ik0iLGBaxg+TTNT0MOhVEGzdYd2OhrQYX ObVHwRDRbAQI7caimcRPmkSNghnJ21q49G5sgl2JLv7PKKATnkkZ1N+NcV/E P2teHQN7GKpcvvntxrzLqhj80seBRrDvExC+G3tLL3P89QjhsRW5Hx/idmMh Xp+DO5UmgDktXq0wfzemJjfBs1g2AQK7Hdfi+3djPUdepM/BSRB2RliFnUqM r+NPvrA9Ce41/bCPWNuNSc3QMp7rT4Gn3zRr/YXEMZ1PSr9elU2Bb8XMD84e F8eK48eKA1OnQZNKxdcWG3Hs0h6Nl45N06A7z3vxuJs49t8qHQcv8wygPe2w PRgujsm0e7cUecyAlV2x98vjxDFHYabyp2kzgCERQ+rp4tgTfj22Iz9ngPB/ +WSZcnFMzYo7tkaOCkgsdjbpNeLYB523RQkWVKAYzv+fUIs4xsmhKiccTAUH A2/OslLFMfpTbndVGqjA1dns04y0BOYpsix6zYEGvPvoaa7qEtghR/pjr8Np IOhsGalfXwJTOcdx7r9nNBB7UjKq2UYCEw40jNX8SwNJP1o/HHOTwNjt0lnX V2ggyyhmutpPAjsSaifmLICDEt0587I4Cez54XOXeQ1xUFWWc1stXQJ7PHTy 9mlbHHyn2Jbl5UtgFzV0BzWu4KDlFfekVLkEdpVklvo6Age98tViaTUSmNLK 7eavj3Ew9jzwhGCLBFaiUvbxag4OZsWVw+/3S2C3r6UlfizBwVrywHsWqgQ2 I/+nPOUrDpgEE8dC1yQwqdnFCD7CF/y0EG5+VknM/gKN35vwh9T3i9ovBCSx lJ3B/A8In6g/t7DTJkliPgne8oGEXw7e0ov6riyJ1SWWMsoQvjGzkntju18S y9L2dk0g/HNenbd9xkgSG/EcEP5O+MiDY20zxEISWxSLoCHCT9dHhsl89pIY rXylIZjwVUzVb7NsT0ns0QXRl1tEnJRcfm1vkCTWFEa7akDEOb7PMuoiJbHu 3W+0TYnvS0z/qz37kHjvVc22i5j/q9w16nSGJLalVM9aQPivmc5eKKRAEqu4 cNd+m/DhQPcRfd5ySWw4fd1k1yQOaCUars+rJTHJf4eZVwhfbsbtvq/VRLzX KRxP68AB1yWW0m+9kpjLcs5x5t84EDWY7bWZlCS88C1F6wsOFMS7maYXJbGD X6CxIlHf9HXHpIP0JOzm+rnWMaL+2RNWBdGsJCzvyc1fHkmEL79iLbsESRhZ idP/px8OPr7dO+YkSsJ+SVwJynfAAUpXXCskkbBiXUriKVMcNAYISh9UIWEm 0d4mjCQctDuza0drkjAPv/BH3GyEn823jjbtJ2GlUnyO4zQamFGcuOpkTMK+ 2soFMH+kgYWdf+8UmpKw9VNdTabpNLDO1JKyYEHCjp0/2eEaQgMc/Z++RNmT sJo3QQ/4AA3w/Sr60+hKwq5l5ZbkitOAyMecSREvEpbQ7u/Ov04F8gnxfIVB JOzCoRvdvsVUoBoWSV4IIWGyZ5bdPWKpQPvy9f36d0iYAYyUOOhKBYYmzo6N D0lYTF2qeJgAFTita7/7V0DkPyPol+Y0Ay5NKNXqvSNhLcWK7M80Z4DPH1LX nXISdkovR+gB4wwIfctBL1JDws6LOrNqZE2DdOc+c72/JKzXp6/9068p0PHz zmwkjxQmoWnq+nlhAjw+mGF0RlgK0zWqLMTfTgCLdyWpZHEprL1jy53RYwI0 JA0bflOUwvIZ5Td7usfBN8dDKazGUliGx5XQ12/HQNnyxqF7t6QwWXcvma49 IyBJxj8hflIKU3+TSyke7wWWSf9N2M9KYTqxJvERsr2Anz1bX31ZChttKjDh cugBcbTm8SYmaYxbxyzoSmsXiPqopsdPksYufVotvfqqHQScnB55bCWN1TWO ywSoNYEzN520U6ulMbeQSOXHAzkgKUOQZbleGis073pRwZ4J2uG3P6ebpDHn Iwyt/KceASsmpWs7/kpjXrHvsrKib0Gb+//ehy1JYxujkWsH6F5D28xIiruC DHZ2v60NbbQaOlTnKmvFy2DqD1SkcvTbYdaozcaDRBls2Ka1YfdGOxxk5fxF TZPBHq9L9hd+7IBOplc8X+bJYC/p43TmKV3Q+Y9OgehXGYyaM2JrLtwL3ca/ y9MvymC+9Tw7N1uJ32/2m8sX1mWw2RrP3/qKg3BcSaWugl4WY4wO/NUUOggv +jx08+eWxU598ZMZ2DMEL62ezRmXl8Vyqo7rmfgOQy/OaekGW1ksedFM5GL/ KJy+XsHE6SiLHY5m5emQH4MeE3fHTNxlsf/C2MO9r4xB99o9BV/8ZLHTvI82 OTfGoFOoG6U0VhZz7A3UL+eYgIPUvQLzj2Qx9nvxFZKmE9DhPPOiaoosJt5z +29a7AS02//iQ16OLLaPft28lmMSnv03CNKrZLELOqoJqeuTsNPxnVRXjSx2 1GQ258LeKWjVFMYo/FMWa8sPrJPyJnz2WrIuvkMW89HuyHzROwXN3S+cuD0r i71p9Hhl+3oaNv5RVkdLsliabfrKdN80PGG4wbe5IYvBtg15b54ZeFwq7U8A Oxk7KKHZo395Bhr3dJ73kCZjmYcvx3SJUWHt0byDL/eQsbpcuzRkSIWGHwJJ I6pkbC69ZOWeFxUeShQeuaBLxu59V3tY/YHoPxnHalMPkTGdpJEx1b9UeNC3 9GWHCRl7abG/MpCOBvVOWnqesiRjtKe0hHSif/30WcYszpaM+XEosQc40+AB 5X+qPx3IWAK1Y1g+ggZ12B/NG14m5ve4pshbSYNlgY5t4X5k7LK8mLNhBw1q jamXVV0nY2fZ36WaztGgRnXj9X1RZEx1UUv8jxThDUrmuWuxZOx3I+uD0/tw qJ7lrV/8iIydc8w99dwMh2+4D0riyWSsJfPnI+SIQ5XgHfTKmWTM415N/Gt/ HL6a7h26mEPGtFMCH1wkfKZo+6omp5CMbX7ynJhNwmH+95u5Q+/I2MZ4w5JR Lg736ByPkfxA5K91S869BIcvc0Q9zleRsVOR9LTTX3AoJzh1PKWGjEV/edHI +RuHOREfVdp/kLHSZxfPxnXgUHYuhkegmYwpbPCSewYIz9nbzJ3sIGPir+Q6 5yZwKN0g3xr7l4x9pluXacFxmKW3XFI/TMZuVxTU3lzEoWThtySWKTI2nEiK ohGessz88PHHLBnTF9DkcCK8dS+hoDdumYxl5Z70dic8BqPTty22yNjaZ8s0 4vcNLtyMk97JLIeNSIXdkydiRZ8wox5OOWz18BWjoQ0c2rv4Xszkl8Pqf0qM qRLzP7Zx+c95lxzmEzj5vxbOPJrKrQ3gSGS8mSKlTJ2Dcw7ndSLJbT/NKk2K kmjQYGiQytAgJUOZMhQhmRUV0XVJ2QhFZUiIzBzjGWTIzPfetb4/f2s/69l7 v8+79np+a+21H0uRvlZpZvmaqkqBOrpvmCfpkwKbTGuHKBRIsV2seZf0TQMD 47FMBgV2Z31LVSJ91FGbrnh1LQWK2yN9N5O+Gq+yythoAwXyxhyQAOmzDTJL bWY3UUD7n1Abc9J3JUSEvIpMKeB3PO7WetKHYXo08d4+CvSmW5nlRvKxK49d ZmpJAUepIt8KH7J+XY39kjYUsNk5OXWF9O3OhgqJWjsK6G7a5Z1rw8dm+NUB q8sUWHuj9Kko6e93c55dVXEn898pW6+kyMf/poVGdnpSYNjpumDZLA+rP7zW 6hBIAdnZxU0TH3n4yL1zArrhFNgvMu7ilcLDQe5WGiNPKLDnVYZZug8PT574 2+F6GgXS4+579W3i4W/E4vEHJRTQWewbxUrnYiHKhOK+CgrUarc4//biYiPl AWO5Ggp0xBx8amPJxYlC37xiWikQ3NwaZzrHwe51EZIvJymwWer+34kbOPj1 J1895wUKjBW82SaxhIO7C9zN14pQ4dbNpzdYpL/tTT4W9V6OCshMc6SS9DXN a5qa33SpwF/cm259cxAfdVi2I9SACveT248tQoM4xGaJo4UJOS5hneEpMIin t3EyW3dSQbQQWc3cHsA1y95u4J2mQvFvj+u2l/vxjbwtB/+KocKvVsXcO6q9 WP9YzfDxBDKf5BmjZY1sPLhwLDgrjQrcRxILNYFsfHSHa8WBt1T4y+/6aOl4 DzZueI4ivlFBaDTi1tSHbjw5KkVfLqAFXGM5hR3k+e2q91NY44wW1Id0Wo3K NmLn1PO5hnrakIB3bFnkGo3aqlc8kjbUhvSnKSV8mWS0Z6rySq+JNkg8MuSM 9KUjHTNt4vEubYjr/64xu+Mt6vnNzhg/ow12ISdSa34XocN/H094G6sN1640 Fh2yq0LlZ6W9ApO0oVDDi7NEpAatffjB9nS6NiyyLe3IaKpBS7tXrJTP04aH d5YfivL8jir9fz6+UqcNjeD57/yHerTxx4FAfXEd+Or75ikWb0Ev5wScxGV0 YOTGjOJIVQtaQc3a2aWoAxFz1/bUhbaiSQ9p0bA1OlBSXXjQU64dZa/+cuc3 6EDh0P1nRUKdaI3TVrcsNx0wCpwqs6vqRhERoxb+nmR8iHgLT6MHCRUmrj3h owOqYtPUYPce1LZUcOSvcB04Kxj3e2oVG0Xlfjh/6bUOqB199nLliV4kKbTu lC5bB5rctBTts/pRvtuig71DOhC9aiYckf3KWW71lrgRcj71Dvc5wwFU9NN+ jbQADTaUN5ao5g+gK5nR/VxlGjyTei2fmzmIVNeca0pRo0F0CrH+8uAg+hrN qrTRooHGWGXirMYQovh+zfhmQIPV6XsZ18NJfzo2f/HVfhqITam4fLXjIL/v lcfPHKZBTm/F27IIDlprGrlfxZYGIobJl2+WclAwi6kf5EQDCRuv+eWqXLTh xaz6NhcaDIa9Kp3dzUX9qyrk5txpIOwR9DvClYs2iZ8aP+9Lg+wtFyXaPnER 77Zur2YQDYze0uwCeFwUPT7d0BJOrtf674leObIf7QjPM0ugwU91+T2JR3ko wfLEC+HnNGguezU8/999rK/06PevaSBUfy5iEdmvPv+37Ab9PQ3cHEy2LzTy kAUj7HxPCQ1+GLlmjo7ykFCSrU1sBQ3S2+jVD6T5KFOJtvdQDQ1eJh/w+Egl /SN4YqNkIw1qwkxDYxEfiQmX6pW20mBqekxMwZKPcj0eqt7socEHizI2zYmP /jqjLcT5TQO7Pp9VRCgfvW8eH0mapIH3lFOVSiIf2e8v6bZeoAEz7qpfyhs+ UigP/iEnQofM0ePRnzDpHxusy75I0kFy8s057698dOkNNddbjg6/HuYf/0n6 xErqWOoGZTq87HgsVN7JRxWxRZGjqmT8IHTsJn3KVTbIP4NKh0+3H0Q5kD6l 4W/lYadLB+Iu5deqCT6qmVvjuMKADhYOGeecZvjo1pWRo3Ub6PB5xWOpffN8 pDNQuDtgMx1Wy5q9rCB9qdE2wGTLTjrUl69k/SL53o/DjJl9dEh02ZzgTcYT uzRX5VjSganQtfgjma8ND0s72dBhfaW41xNyvgCDDwvqp+kg5vR2o+gIHxll 3B9udqTDjZsfvCSH+IitatkZdpkO9x36I16Qfhj2WP37Lnc6+In/bGr7yUdI kl8idJvM5yFR+JL0J86dgpx3PnQYI3tLOdKfoib8kl0C6cC743BBPoePtl04 9EgnnA5yW7JOZyb9975EgcClJ3TIJr4xZEi/Tf5X/XzOMzrY7lzbaeLNR0JC vzebvKRD8aGytDEbPtKnHnntlU2yhKj23Z18dNIMLy/Lo0PEubfOLSzSrx4H De8po4PbhOWbaWE+4heMWYd9ocODlDTXoiEeWtVp/amhlg7cLWIxlrU8dIum E3e8jQ5NdXLKk1E8ZFxUvvvyBB1Y8fe19JR5yIHN+PefOTqk3S7/8niCi6LE H6lPL2LAq2PJtJ91XDRxyG7q7lIGOFlff87156K3AwupEdoMkOlaXRDI5qBu 6XOyTXoMEDS+qzSUz0Gya6tuqRgyQO0z+6ReEAdd9ow9lLqZAXJaN+KdmRyk K7deKM+aAStTazyWOA4hG6P4C7MnGeCsMhj52WAIBdqINoE9A8rvHPC5JTCE htLqMyuuMsAq321xVdggem7iYvMriAGa3yiHtmUMII2zGXnzmAHNAhP0gFd9 yDxAVnNLOQMu3FYwSHLoQ3ezPEL8vjJgy3kfy3rNPtQxvePs0iYGxEY+vBkW 1YviQnrk1EcYICBpdPT9NTbpiyqXtmnqwmTiwoudYt1o3i5thQxNF4q/nLrr +qYL9UgTn1sIXaiiMgK+HOlCWae3ql1FurCF0DKcT+5EO5Y61SUe1YVFg+/W TbI6kOu5vHUCobqgmNNa9ut4M6pXOChQMKcL3gdqbSNmKtG7opaXvsJ6oM6L f9pwoALFO521MpfQgyST04FjqZ/Q+WKP7AElPfD5c9hv6d5SJHwh/rTSWj1o EbiT8k2jAK0t5X6+5qgH+vYxNU/vCKIwF/9QZqMe7PN6X+Q8VYmnv77M82/V g6fP9btqfb7iU9Ta9o5uPQjJey0gL1OFWS3LdUOH9eDRkayg+dAaPJhowZ4U ZgKPruHQFFuHAyX77litYsJApf30q4AmXLTe45GPGhPcbq88f2BbMx47K/Hi jSYTkNqQN2euGR8r1qsRozFBYtHydI5TC2a4uq96t44JIZLUQ2bG7biqXaxA +QATnuvVShvu6cJCUrFV2w8xgfsldsuq+C5saKzb5XKYCVsfjkjuHunCcRHm Yl9smNAbTPM4E9GNL+2MOXzDkQkuB0Qp26p78NIc+tgvbybc63gWuFilD2/t KBRd4seEfOq9nNJTfdhd6sCKtQ+YIKhs6B+V1oc7zl3bHPiQCVPjEi5XdPvx m5WFD02eMmG//b3ml8wBbO67j/E0lwnrRquzhBYP4VSr4Z35+UwwUNjWVLN+ CE/RQ8/Wv2eCPxr/J/LCEI6v+/5M6iMTcn5QPop+H8JcVUtZz2omMPIbuk2C ORjG/uhGf2dCpJGAauw7Do74FLk7t54Jj/xW+7HZHGx8seke7xcTwp9bWDLX c7F/wbEJ234mHLEv/XL9Oxe3BM/J3RhiQlhi6sDCOBfrnYpjRvKYsMndydRO iYcblnQ4VI8xIS3nWAK24mHtFi/foQlyfwWXNXLdefhmplqS6AwThnzM//g8 5mENS7sWJEiAkf15pVdVPOyqLTxlLUzA0X3RpkIDPFw5m6zgLkrAleVhAXQh PnZO6t2bJUXA+PcCv1my3y119XP6upSArH7Dm/Hb+Vhxl5Z/vxw5vmP1tII1 HxcOOxSrKhMguHmTr4sXH8uWireZqBBwkq9NOxLKx2ciM6aPqBJQ8GbIVzKB j/MczRSvaRCwYJ8qGJLJx5IbuaxQCrk+6SV/tb8n/UEmeP8rbQI8Bcx1Zz/z cXaP7oUKOgFrumwG2XV8LJJXfZ+tR0DM4sSmmFY+tgpwThVkEbDI0SBOpZfs 521lPqoYEnB9Rx3b8T+/0M9uX7+egGSdNgfvUT4+uPjgrIUJAQ+fneKfneTj 1J+jSi6IgG6n5TsUSH+ZzogwCN5MwPxhhz3B83y857aBefo2Avb52Q/+d78v 3rzhYrkpAUHHW2U6/vOhNW4BXbsJGJvf+DGPjDedUnw+v5eAq5v+ETtG5ov5 mleqbE5AxSGl2QpyPt4zq05DCwLCf/HfC5E+tPnK9Jz5EQJOPbt8XYTHx4+2 xyhfsiagpfb2xXpyP/3LTdYF2BIw2JLadqmNj024LQfTThKgWaK8suEHH4cU 3XL+eJqAELG33ksq+bgrfFVQ+zkC0hDnlmghHxuewy9mHAkQX9TsWZfFx/eN T5QrXiSgOYEuciGRj1ukBLtZlwn4uZ367EcY6b+dCQv7rhKQkBvTIX6Xj73f bl553o2sz9Oe80udSd+zvmeRfIuAI5/YWoGm5Pe/nCsrfIeANgwZagQf+/v1 V9vdI0Df1Ej5kBIfs3PMdmkEkN8rT2VdRBcPy1d6inoHE2Dt0G+aXMbDmzuy SrtCyf9PhCdtmcbD8ZIKKDGKrG/3alryWR6uUt8xKxhLgB8uPrllKw/PGXnk n3xGQOaCvdQDVR4+eqaVpZZK/k/K2Qz5ei5WKEzRis8hoHjsfMVuXS7e+qOR vZBL1sMy7oqlIBe7DIolHX9HgFpAJ29ZHYf0lYsqq4sJ2K+hkFDswsEPLhnK xlWR9dQ0WjGTOITzfeyr52rJejzxkPrt9N97FtGBNvXkfr89b3zNGsLbPs+L qLQQwN5vuigQD2IBtU8zMQMErCq5obqsYgDrrZvKm+EQMEld2hTuP4Bt99Bc rYcJ6N0x28fbPoALPEKGlScIcOvNKzEt6seu3w+znwjrg1Rw17aOlD485N1f FblaH568SLlwAbGxcrRy4IS6PizoHW1cz+vBpllmOw9T9KH91eY5xdgenNqS 9XEZQx+E1o1pKI134xMGHnmPjPVhN+1t2sPYLtzQK5YYbqEPjxyCIkLvt+Py Q/dj84/ogxz78OGEpjacW7Ikst1aH964f95/W6sNP44TDaSd0oeYJdRTxSUt 2MJysevHi/qguqmyVnWwCf8oE9g16qcP22/1vfMR/4G/J0/8Nn+nD/EXys62 KmBcIuvGcf+gDxXrr1dsHS/A2V5/euOK9CG/xEwqsi4Phx0b/zVYrg9Jg5WO 7kHZ+ID8aNndOn0Y7dj00bI3Etd4855kc/Sh9J7QwVtEDqo6xd4ku5oFH0LU XL/p1qIncn9abqizIGP4QnWFwHd0ulTEnb2GBbZWJXfHar+jmTVar/PoLGAM nRh5ffkH0hpwVD5uzILFAmzFrJRGdOfS8EiGBQseXs+nfmlsRWaqgsEKViww tNJg7Y9qQ0q1Mtq3j7GArNEf58Pt6LU+67i5HQucYm67vrHvQM3j175MOpPx L5NeBjZ1orU3Z5K2BbKgsydsyDS8By3QJVFmCAvIo1j6Sm8Pqmxd2awUzoJ1 ZobVL4zY6CTauJTzhAXNSRl/6zazUbDQnZthaSx4JGveR5fpQ1Y5oYqz6SxY snG+0OJYH9I8nZh95jULfK43BV5M7UPvyj72G/3DgsvytNhT6/pRn7+IRXsJ C9oFIrZP7R5A2esVh03LWRA+fH7d9uAB5DlIDciuYIF8flSwQ/UAkjfbWexT w4J77o5J1L2DCP4KZNDbWGCcdfsH8fcQin4kI+IxxYLPsd42zHYO6vItUQsn ubba52ZUBwdpu1/5+xXJUvTkvQJdHJR3tP5qJ8l19hTJ6h4Oalj9pHvnNAve Wf8csh/kILl01WLlGRZIimcZB49zUGCh3s33syw493bHbJwEF/3I7IhsIDl8 X5zbnCQXrUgIzRkmeWl7dIq1NBele48Oas6x4Owut+WKMlz02fRfqyCSs+8f PvFgGRcJ121cZzvPggjxB+dOqXGRWSnf3J1kZlygxHt1Lgr/J/5iGMn7Yeak giYXqUcJpZaTLHNQmvKJwkVgUy6vt8CCMfM0cSqdi/z3ujF3kjwznrLJk8FF 1UjLzI5kCaExnXpdLrJVf+AdSbK8rLP8XYKLUuU2PHtD8sk/j+V/6pN+Kcx5 94Vke+GFcsZaLjL8E9vAJtn6dTLN24CL/v9eKfz/vVL0P7cpIgg= "]], InterpretationBox["\"y = \\!\\(TraditionalForm\\`\\(sin(x)\\)\\)\"", StringForm["`1` = `2`", "y", Sin[$CellContext`x]], Editable -> False]], Annotation[#, StringForm["`1` = `2`", "y", Sin[$CellContext`x]], "Tooltip"]& ]}}}, AspectRatio->Automatic, Axes->True, GridLines->FrontEndValueCache[ analyse`grids, {{-1., 0., 1., 2., 3., 4.}, {-1., 0., 1., 2.}}], GridLinesStyle->Directive[ GrayLevel[0.85], Dashing[{0, Small}]], PlotRange->{{-1, 4}, {-1, 2}}, Ticks->FrontEndValueCache[analyse`ticks, {{{-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}, {4., FormBox["4", TraditionalForm]}}, {{-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}}}]], TraditionalForm]], "Output", CellChangeTimes->{{3.416483446817206*^9, 3.416483476593206*^9}}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztXAd0V8XyvpEAAoLSFCnSAhh6bwpKE5GAFEFRnxKRJiJVpcMDBER4yIMn IMeHikoRlACBQCCQUEIJKaRCQIpAIPRQQp8339zdy43cSxKJ58/5m5xjyG/3 7rezOzPfzM7+ru18h/bp2d93aN8evmVaD/Yd2KdvjyFlXhowmJtyeBiGRx/D MA6VMTz5b+I/7b/w0xe/3P9uKf940oULF6hnz57UtWtXOnPmjDxS1nyklfyT g7777juaOHGifLL3N1X9kyZNogEDBuA/4xH57Unx8fHyqG0slTOH5VTD9u3b R+qHh/3/bEtJSeE23mMjF4WFhclu37x509qagQMHeuLvnKK3/3t5s9se0rZH 0JTjYZMqezcehjbbbjhytt4oHRnwSX6XSDvm22+/zfCYlqofhDZmzBiaPHmy 4ZnOmJdU/61bt+5ZlNsYp2DRwmFMC4fnWt5nbHptHub0bdMRL71+7vL13cXI KfL55fQe9+RgGkdPPulH3bqFUlzcxdbpjcgln65evUVTpyZQ0aJ+1L37LgoK im7lMPIv2iXTWHLSxYs3aPToaCpY8Ff66KNwzieuOSrLvoCcauzp09do0KAI WcEXXyTQjRu3jWbpjM0t/3jSgQOXqEOHreTltYb8/U+8mM6wPGrYhg0nZcir r26lI0euNE1nmHvekpOuX7/NrhNHhQqtYFeI5xh/23j+L1bAuXPXWQE9e+42 jMfUig4dukyvvBJCtWuvp+joC8+5ragYfnkwSRzyoKee8vOg/v3DDaOAQvnm m9+ocOEVNGFCLBbSyA3lSduszZptojp1AjnJOaeM4nHVe+zYVXr55RCqWXM9 RUWdb+iGVlQ9P2fOAdnGL7/cT7dv3zF32CioehcsOERFiqygceNiYCL13dAK q+d///0KtWy5merX30AJCSme7qrMq0YcP36V2rbdIvLyiHpZrEXTynLRkiVH ZSGffx7PhHhHOu/SeBE1EstlBdFXXx0w6rqt9QkleUrKDfrHP3aSt/daCg8/ Z3qHoff14MFLVKvWerF2Np3abmhab5GR56lChTXUp08YpabeetRE0zrnvaeP P46iUqVW0Y4dZ2q5oRVQHV9/fVBsaunSo2qnjWKqa+XK47IT06fvM2q64WgL v3z5Jr311g6qWjUArJrPXZ/aYtizRftYNxNU9SzWZwM1TWzsRapUaS29994u sPGjDo8qxyhu20L2O6pYcQ0MrZrb0vOqjh9+OCxbyF6rXNUoqbpgJujy8ztu VHXDedQ2b+/eYSJtTMwFU99GKdW7e/dZKllyFQf1GLpz505lNzTNvSdPplKj RhuFf69cuWnaovGM6j11KpWaNAkSh+LN93ZDy6We37nzLBUvvpLGj4/F7AXd 1fuUGsEEJbsIIud4+WwWq1cb9sKFhyUsr1p1XDGbo27Lqi7WkTweFHTKqOS2 6BxqCbxQGjZsL5Ut6w9DMH3fKKeGbd16WoIiq9+o6Ab1iIKCe7Rrt4VatNhM Z89eN33fKK+G8f7QM8+sps8+izMquEF5KKjk5GvC6B98sAc8bDq+4aV6k5JS hU3ef3836Ku8Gxq3gXjKlfOnsWNjlM87KlQb4KVLN6lNmxCJGbyccg7ID6LQ KqqNA5UwKxOTokhHhVZUUoGiOdTKmnntWs92qW6rtnXrkoTPmNeUrxvaKpEi lC69muLjLxplHCBuqbbvvzetbfv2M4bKPrTrwBBhDsHByUZpB4ibqg1ZCHSN qUyaMLQvb9x4SiAWLz6qHDUtxHW1ZtY6ffhhOFWvvo5OnLhayl13Wv2ccwh5 cCqq9Jl1iqugpLp27RZ17rxNMg6mlOLuuquqRiCiV6u2jvr2FUsu4SBYqnr0 /Pnrwlevvx6KnM7cYKOa6kWAbdUqmHx8toDjizsAXVWPIuupUiVAUlr2b1PZ RnXVC9JCmg7i5Fj8tAPQFdWGuIItnTYtQVGCFSRHjNgrcZDXZwVTO8Rl1bZl i8kgP/10RGnKUYnawnCOABWx3yqWzTolaqNftux38RFOwa02Bw3qJGXevIOy CbwZKgNJK1KKakPmiuciIs4rezHqqC7kW3Ap9nvL3+0QF1XbrFmJ4jec1Crn txIvnagwI1sJmh3igmqbMiWeypf3R+ahyN/QWSRcD1KsX3/SKOwAcV61jRwZ LWkcu50iD0eV6WSGMzCRbPXqE0ahLFaZdpcBAyKE/figZgUPB5U1UF3II2B0 rGmViqUVSSrNKvj16LFbXOHChRsmRxn6lIAkFCwN033CAeW0QoFDvfnmDmre fDOChknyhj65IO49/fRKpElW8LajJCsUZEYdO26jXr0k5TX5w2isRuzfnyLG NXfuAaOAA8ophYKzIBgCGRHLVc1dfdo2f/vtsoQFPvIY+bNYfTr9B22+9FIw demyHVJVdnhUaVCfW48evSIHAD6hqANmWqmSFDJnfZJvIC3nMFnDRGmiRiBR QIbLTmHkc0A5YUNp2jRI8k4maZPjrCsG9gNBmTQpzsjrgBKh2nRtHZ+0fyEn AqdzqqIIRRUOctCePXsob968FBISYrkoBEZqjCQpj8NUzZXAR44cobp16zJd TuXNvWbWKnLxbJeluUaNGvJf/fr1YePN1KhBgwbxQWc6G3Yk9r6QakbS07jx Rona/LT2a1zI+Pj42LWTU42wKY61VEG7HdJxSM9nd0OfQZxMqVOnTsxjW20r yskKP0oBAQECnZKSgtnTmBTuefBJOyLCIYSGaqsrjOjoaNlV1B+bNGlCiYmJ WnIeER4efs9N0YwZM+wL0Z6PkwMYkA/6lrqcFuLr62stRLft2LGDg94W+aTL YPXq1dOFR8t7sYAGDTaIVdVQC+jWrRuz70hRFIuDoqhtATdu3JCSJ250zHsd 6O6SfQGadLAAZACjR0ebRboMLEA79ZAhQ3j8KZt2clBgYKAYVIcOHSwSQ8EN Z9t+/faorMCTdu3aRVFRUZy/J8N2VP1E2wKWpCXQW41MH/kRBx2LpjIqqb+/ v9izXdLU1FTOGz/kBOKgtdVaUs4nraj+448/cp50DFIafxDTy8vLml5vKCqE SEWHD9/rWGrWYnbv3t0Ss5nS6tWrV/msGyMPLl26lN59913LkZOShMmkv1+/ fpqAtcQojWmivn79Os2ePdsu8R/9Ecbv7e2tSfTMmWustXX06adRhlNNXe8Z fK9FixYQXC3EU3wI5lipUiUKDQ3V8sbGxkqZvnHjxnjkMZu89eoFiryay/z8 /MTT6S5/6B22F+F1nZBPjBLiP/kkyrEw39JhrF4AU6DEcrsmbt++rb3D4n6O 8cyPgagPm7mCB1P/FQ/zL5GwtdKZlmbo0EhzKv757Q8onJQo6VVt3RP5tJxb Bw+OxJCDfxgxcGCEinBGG9WFEejCBAdsjwMFjzexazptyNSrx7kBO8XpvmNk zmi0zmXDQxEXeI0dnrMHA9kZX5Of0gh6r3N4ShvWhgSTwcWwH6d9CafV8/yX fGrp0OaN306HHu2NWuohQyIdq98e6cmX02qDjEjFsP+1s0RI7X1AhllByCYO z6UrZC57m90Sa2WJnNrxYJXYTDZ/w+lqIl05c6eRU8sKioDv1fyTwt6LCkFR LGdk4wV3QZ2uyvRaIRi4FtqWQDweE+oKAogAxA8ObekOZlcwskgExeoWmC6V gpB1FGnlDqZNGilCw4YbUDswywACps9ECEmInHwSV7ebjmA6RgAM5xycL5gr q1h4xW14ONGPGhWtaDDDF6C6gopM8vnng6RYpeu3Ws3r14Xdo2Z7m6hZFyOQ FXh5+WErHenrPmrNbZMFmTdq4iyLt7VeXa3AepHkoTTYxh1Pxyxk8i+8sAml E+MumK5RIHGvXDkAtWPjFXcwffuHA8eLL26id97ZiWNLJQtPFxhQNtJnjrbu ePreCFewbHJywOKDZEULT1cbcBWFsgCKYz6ZU24+NQeOlu3bb5XjJR/oKmRa ubpsgbMdajwzZuyz/OYBrsT17QyO4Sid4caN99fL2gN9FtMn3VmzEo327nj5 FR4qkKiTwaDZecpbeLrIgTM5rqDmzz9ovOqOp282kaCgng3CZtoqZ+HpCgUq BSVKrJI7lg7uePoEhBswkAn7iln6FzDdGx5+TsoOS5YcNTpmTuFaHnYMevbZ tVLiK5NpbetjwubNyVIeWrHimOF0MZVJbevNx9UlCvuoc5W2Vq8zflTLUADa tOmU0dkdTFvG7NmJosnExEtmUVrAdDKOgjjqQKjeveYOps0bdUDsPOqFpSww nSnjZhlTJSSkGF3cwbTfLlp0RGp2KCqWtMB0PstULSzBHmV0zZySNdGwWkQ9 O3eeNattmVKy5jP4CircyFqZV/PfR4gM6lkTa0BAkmwAm5F5oSEbYL9OfOON UOFS9tE33PE06wcHJwseLkietvB00AAv4+4H97XMcd3c8XSkYsWItlnr5hyC pwMiklJUKcAjzPNvuuPpKMwmSGXKrJbC11MWng7iqLAg5uN8wXzyVuZ0XkKh oKCFpAlXl4xSNNNq1wkKvnwBJke5qvB9hMigzksq+ZBEQaO4aWEtFLG2QUeL mJgLclOLaug77nj6Vg+Rq2vX7RK+2UoKW3g6BUS9GEaBS6l33fH0xTKYHBVp aIL5p5CFZ2Zu+BqQwK1dm9TdHU1fPYARYEGgl4J3oczbAPBOaOgZPmJlStP6 ihA8iLv5X389ZsaNjKq5klpOfFwyqyFE4sDhw5eL3Wf+DCpZ36nu2XNOdIhv XkisGKum3BN2gtP59XxOCkBdoYc7VHmlDyQ30AW+WMBeJuwzRqEFbTxKZcus orZtNyNDeN8dTd8uI1HGHTAK1pz0CXGPVlu0dAm+H/Qrx/GdRi93KH1diItb hHyEaeZooe1RCurfM2Mpf/7l9PmUvUbvzGlXX+rPnLmfihVbSdu2nTYzwYxq t5xq69VrhywnJCTZuox9ANXqm+b160+K/c+bd9DMeIcrZURGJHFOvoEqVfLn /bjc1x3KW+0g7u9hewgu7MbC08MU2rqAI5wCrKbWrTdRaurND9zRKis0nAk6 ddom51A2GmHpT9VezJ0TT48//gsNGrjb+NAdSn/DBReVcE7EJdHbJwqnTx9z T+fPTzD6Z06v+qo3KOiU6FUV5HNkRrUl1ObsCD3OkSeQDyVIDy57Pbh29f0x bpdxsMK1Cx97hEOHqFkX/HefZBNdu2yBtw1wR9Mlb7gIEk2sF19eQOsghRYX m0w93gsVtcz8MnaQO1otJRuiO0gFZbuY6FMDFNCGwCN8tF1LNWsEgLAHuwPV VkA49uO7LBjFdtZfAU37Ilqk6c2Ow5oZkjn96rvcUSMj2PV/ocmT9vLpJWN6 LaIk2Bt1krOTYLa9FfT9d/ur3GfqDOq1nlrysp8P8vFjJet1I6ynt5rwpx9x J72KmjXDHen1T9yB6isgiNiFDQBeMONfMe8rINYHvf32Ntm/zyZGDXMHaqiA /vvNPvGxVi2DaNvWY742iUqXXiXmzanMcHegRgooIjyJur2xlQoU+IXGjIl4 RwFFRZ7kE+MWkWjihKiRmdPmcwp88aIDQkN16qyjtWsOe2ZQofmVEIgDUGbL FkFI72rfZ/YMKtSsfuYU9/mo/y5ZNdyI2dd4Xc26Zs1hathwvSh83tz4Me5o TdUyN244yknZRvN7o1P2viZAOYXSodXHHlsu1IevTo91R3tRoTE7yqZV9l5D C7/f31GJNWZ0hEwAG2TW+qc7kL5cSYhPllEwtheaboAGjHYK7T+z42QSb0yy cP+EzOlXV4VX+u2UQAmPbd8+GBmF0dxBoZ7qNwJJNaaNUqVWgi+eu890GVRo KyXJ9m3H6e23tkna8CpLwsTEfaYe5s6NpypV1nAm6Uf/HBeJE5kxyR2ytR1S qa9F8yD6eekB3loTctq0aI69a6hkyZUW5BR3yDYKMmz3CerXb5dopC77xKxZ cWySgMwlfUOHhjFH+/HB1Z+mTNkLHp3qjmq25RL2GDsmgipU8Jc1ftB3Jzih gZJ18aJE8vHZTHnzLuc0fwMtWLDPmP5n9J32uUfV7D8sTOSccBPly7dc3GbK 5L2guVpqWSwIDRkSJsIVLbqCevXcwaHIegviAVRv1oFyc1KcJGaOpBhCIJ3l jYUQRhWRIjengcdoxPBwqlt3HeXjfQBtwgWgt5nmFC4vXjpdDnZWM28KOoqc iKpWWUt58iyT3R01KgLtnOeaMy9efECcH9Eyn9IAtoiP08Zsc+aMvhvUVe07 thT6bsaUAwKDEfr4BNO4sZHkv/pQSZk5j5gFu7bwHDJLPFqKH33ttS0069+x OD4aczIngXnol7jMMfEAn7XDJPgV40gE86pefS117BjCdryH5nwVJ2lobMwp M0HLR+F7kmj5soM0fVoMZ607+RixSUgod+5l5OW1WoL3hPFRnIdcNua7W2iT DErrZE/mKa0UhW4/Tl/PS6BBg3bLtDAehBpPz5/piSd+4aP7KqpZM0A2DmK2 axdMnXhlnTuFyAp92MgQlho1ChRuAaPB+LAL+LtRw0AJqzCHRT8lCvc7fT85 k2/0/J3e0b3blivNt2rwk/2O7sPUVvQe/YQEH6PZs7ayi8XTF1OjaRzHyGGf hnOuFSik8fHHYTRiRDiNHx/J/26mbxfs42TikNxZ4ofxrKu+h2ed2W1/v7bs t3Ad2rLoLdwH7c9efvbys5efvfzs5WcvP3v52cvPXn728rOX/3AvX39X2+V9 rPROPOYK7r4ThR/9TtSfOS3pWqL91aSM1hKzYDf/nvU85za8xqRfrpK27MJe dlt2W3bbX9tmFd7sr0zKA2XMfn3Z7fSuonxQ/9tVfYGoXw9EVAsNDbU/omuJ 9pfy7P3yt/rql+HxPy9sFcE=\ \>"]], Cell[BoxData[ FormBox[ InterpretationBox["\<\"\\!\\(TraditionalForm\\`\\(TraditionalForm\\`\\(\\(\ \[Integral]\\_\\(\[Pi]\\/4\\)\\%\\(\\(5\\\\ \[Pi]\\)\\/6\\)\\) \ \\(\\(\\(\\(sin(x)\\)\\) \\(\\(\[DifferentialD] x\\)\\)\\)\\)\\)\\)\\) = \ \\!\\(TraditionalForm\\`\\(1\\/2\\\\ \\(\\((\\@2 + \\@3)\\)\\)\\)\\)\"\>", StringForm["`1` = `2`", analyse`Integrale[ Sin[$CellContext`x], {$CellContext`x, Rational[1, 4] Pi, Rational[5, 6] Pi}], Rational[1, 2] (2^Rational[1, 2] + 3^Rational[1, 2])], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{{3.416483446817206*^9, 3.416483477068757*^9}}] }, {2, 3}]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Calculer l'aire de la figure limit\[EAcute]e par la courbe ", Cell[BoxData[ FormBox[ RowBox[{"y", "=", RowBox[{ SuperscriptBox["x", "2"], " ", "-", RowBox[{"3", "x"}], " ", "+", " ", "2"}]}], TraditionalForm]]], " et la droite ", Cell[BoxData[ FormBox[ RowBox[{"y", " ", "=", " ", RowBox[{"x", " ", "-", " ", "1"}]}], TraditionalForm]], FormatType->"TraditionalForm"] }], "Titre2", CellChangeTimes->{{3.4164831689580917`*^9, 3.416483230484221*^9}, { 3.416483361925158*^9, 3.4164834030304117`*^9}, {3.416483443874311*^9, 3.4164834575074177`*^9}, {3.416483559595859*^9, 3.416483614849559*^9}, { 3.416483853399644*^9, 3.416483858059877*^9}, {3.4536040399708223`*^9, 3.4536040457499447`*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"cadrex", "=", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "5"}], "}"}]}], ";", RowBox[{"cadrey", "=", RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "5"}], "}"}]}], ";", RowBox[{"Surface", "[", RowBox[{ RowBox[{ RowBox[{"x", "^", "2"}], "-", RowBox[{"3", "x"}], "+", "2"}], ",", RowBox[{"x", "-", "1"}], ",", "x"}], "]"}]}]], "Input", CellChangeTimes->{{3.416483633778884*^9, 3.4164837599386683`*^9}}], Cell[BoxData[ FormBox[ InterpretationBox["\<\"\\!\\(TraditionalForm\\`\\(TraditionalForm\\`\\(\\(\ \[Integral]\\_1\\%3\\) \\(\\(\\(\\((\\(\\(-x\\^2\\)\\) + \\(\\(4\\\\ x\\)\\) \ - 3)\\)\\) \\(\\(\[DifferentialD] x\\)\\)\\)\\)\\)\\)\\) = \ \\!\\(TraditionalForm\\`4\\/3\\)\"\>", StringForm["`1` = `2`", analyse`Integrale[-3 + 4 $CellContext`x - $CellContext`x^2, {$CellContext`x, 1, 3}], Rational[4, 3]], Editable->False], TraditionalForm]], "Print", CellChangeTimes->{{3.41648365715352*^9, 3.4164837140638523`*^9}, 3.416483761134672*^9}], Cell[BoxData[ FormBox[ GraphicsBox[{{{}, {}, {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Medium], TagBox[ TooltipBox[LineBox[CompressedData[" 1:eJw1l3s0FPoWx4dhaAyGUUQPjw5O4sgjUsfeSYokvUuFIjfqRIpk5FSEpKQH IUWoOBGh0pXfyPv9SKWI8cgrNAbjzXXvWnev9V17fdb+67vW3t+1tspx990n hCkUSuWC/ttN050D9wvEOJT/lQHq9n0d/SOOxllTdI96zUcPz/O0f5cPpHFe Su3Z4HpUD9+OXzk650bj+FR1qBwz08NNtNUlVcY0TkeC9/QNhh7uVvONcm0U 5dCy3bnVCWvR66iiSaKEKOeh17OzwnW6+K7e7u8lvlQOr9nu+FFvHZxrSs+a daRyMswMgmS26KAZV7i3ayuVMxeeITbI0sHKoVTbrMVUjkVrhJriK21skZhW sc0U5rAtx/OteWtwfkts0fVeIY6/3Y5A1nktNH/XvGh2P4XT7aJuqRGtiemp yetLN1A4Uw32tgxXTVSIdXeNUKZw/h7pj1u5XhM/j9PubG+cJ192zUnUf9XA 39j7mXFTc6QmQMbAYbkGfrgyxsCts6Qsry9LM+03nLmlTwviTpL+q8c8PX6p Yp176QnF1ElCu8Q0X1Gsiom2h4vTz02SO1qsI1MxqmglGxD4hTZJZpJZDn9u VcXo+w3Cv2tPEBZTKHMoQQXXPTw7X3lRQKxzbwbOOSijR8rLCRnWCGkjLY3J s0qoK3UmwIzLJ2r3j65wzVXCYc81UufS+GR5zV+LL3kpoefGFLXGrXzy+6mN jKghRfSqfWIT6TdM0nfdWXa3aymO9GtZGlb9IsfqlMv+aZNHWsBEvIVnH2Hf K7NykJXDYGuv188YfUSfa2hh3MRC8SX8SvFnveRxuN6vY49YSE/5Kaho7iER S79ZPtNioXRtq/XOLd2k/Wu7ypSlLCooFU8cUOgkWozGI5z7TNzvopbQ4PeV dJ8Jmon7SMfQs+dC7uQ0kZogE7mjXnR871fovnvoC3nMSMY38nRcddfJtMHh M5k5Fvdlo/0i5JPE5nqzjyReX2kujC+GK/S3rXkiU0GiPLdrbzIWxWuWvVMq AWVEytXldmanCA44hJQnjJaQM9VG4u/DRfBdWJlLwpdC0tc2a5jcR8W0qgiz TRv+TSq05EPfJQkj70G083D0VWLi4C83aURBP+F7xRbGrnD5JCXI8Ns86MQ4 lcqtCwf7IQ/Gyy3zsEe/KS9oUxLcvvngvrnyHJx1OdVXdO81VC0Vjp7snAYK JWfeKb8UHrqaOt9IHofoPrm1XdblUFInfXCt2jjofTx/3Lm5AgpZNl6STwTg /NSg2HmiGvS0ZdacTBwDZ3W7Yr2lDdCdlhn6LHsESqu+hurvaYKU7sMMGxke nPT5VnpY6ys8eGvYOrr2F4ivahYJpH6D9uyTWRrmQ2DFbvFvzGqG89zBMKWz A1D1e5unl1wbZFK9ZjYM9sLpT20v4wbaQORCLJxg9UIQegiOH+fCwWnvOyc3 9oDGgIf+DZN2EDXa8a/ZyB9wcrNnWnN/B7j7elc7nOkA42h+5a/9nVDjteXW oX/aQfyXZz+1sBN0rpbba//kQkrMOY01sV3AjW0/WtLdCv3D5xP8tneDjJOP vLT1Vzgdf+H+8hd9wExS+F5lWwMbBeNZaxX6obf+QbXRdCUwrH0atgT2Q9nm wRl6ZjmkjftInznyE8JGZBX6TYthyMb3ej5jEHi0xMtLSnMhP2nqWYPPIEw8 6bHxaMiBW1O+Jd1dg6BQ2hgTM5oJfzxlU6XfD0GGza4DBVNJ8NY/P//lOh5Q 8iy93aZCSXzKXHXuaR7gaaEd+V4xJKTR9HvhEx4oDy7Pvno9kRxcTaa/SA0D RevE9+64lwT3zdM7zIeB9yA472PmK6J5GRQHfIcB5bLDOi/lkMlPxJjSszD3 ZGVH1L8jHRTKNvpyPijvt5DQPfR+Ye/wgNwePthm1nXNlhMSc4XjpUn4wOnx kr6n/4FcfUG5pjfGh22W+fDBspC4fcF7G7VGgOOitzZkbxEx0S54ZRs1Ahmf 4g40by0hho2fI/PLR+D2wfogE5VSosse8F0zMwIhjpzoVF4pUS+X3yx+bBSa 5uvc3p8tJyoe2hred0fBOIqv6ahWQZbJb5boKh6F51m1FazKCsI6ceYjWT0G PHZebtpMJZFiBL7RPjoGbzWqaPeCqgg9Kzo2NnwM6g5GGd2gVRNRu5d/L/ow BlypFdZ3/aoJRajY6cLoGIhbOZq/6K0m08++bf2hLgBbur3yZ6saIrDhae05 JIC3O+W5zMQaMjwmyiy4IQBHxbCAI8M1ZOCh0qhOvgCYbnn0XMNa0rN5bdND ngDqTJ97qXvUko5+izz6wh3VPdhZlBRfS1ojjsT77BsHzoVXAv3SWvLV2DOw O3gcKC11jMbOWtLYFnxy77txwOJU2jVBLakLirP+MDAOGfrYZTFfSyq1s3R1 V06ArkZE8tK5WlLSWCb3aNcE1D2Os5rl15ICduuEROAEZMSd+Dj8vZbkqY62 XHw9AbeV+2A8v5a8KV9U0NO7wJqatyUja8krj5XJ+5QmoS5HtcjAqZakyRte L9wxCZSypubT6rXkeb7VX2svT4Kjg9WXnLYaknTCcdfjV5PAZV94LR1es5CD 3oaSPybh8nLHi74GNSQm68ZStvwU2JqLKAtqq0mkXcJsr+UUMHlOqVePVZMI oTft+/2mQFnlbwXlvioS9ryquCh9CvDLPrcalyoSvLMjRa99Cjxkex/f/FZJ rgrGb8azpoHbYJh71LyS+Jir7ffzmQZeBzVKd6qcnPtpbNKfOg3xeoGH9S3K yZk7NisOfp8GDzEOdWtIGTnBvditbzYDt9FtPn6ohDgGh1cknJ8BTlLT7h7Z EnJEJzld+tkMMG8Jh5pqF5PdfnXePyVmQZcXkrjSvJDsUOu2O2Q6C3Unf1xL wQ9kW8W0aanHLMS7zG431y8gpgoaYomfZkG5k9AOjb0nWtmXouwez4FyaOuf 4auyifrhu+yy+jlwrN5pmumfSVSFUxzWicwDrvNg9F9PIwq2jRqyrvPASWlu KtR6QoS9F7c4L6UgpSPi9IWc62DnmNrw1mCBi9iiavRYeGUF5QzbBaZqbfas TILjK11fZwctsBEGL+dnwoeyvNsiows8WXzOV6YAFLN2BR+UFkLHwj3hBQaF 4BnXfenFaiHkspcMZzkVg6on89TeY0LIeW0SHNNVDgFKzluSaoTw8up5f6Pc emgRndww0SeEdaXRv4VMNoAB76aetagwMlts3NOhEbqK3qwc3SCMGa7iA+zv n8H8jMTU5hRhpCzNDVV0aAGRglfpnQFUpDiH6Oj/2QVH/tmabPSYihluKTHi jB+Qfb8l9sY7Kva+ONBU9v0HOLvRrusPU7Gp83DZotAeKGbZOQXYi2CZEpV9 U/QnBLkIKaitF8WBQy6LbRZyrdU2UurCXlG0zeUekC4chnUbtEQr3UXR57UK 1WIzH7ql9/E9n4oiJXT8LmvbCFjkPq/6wKKhQiT/0R9OYyDGsL1yfIiGjmbq dqfaJuGghh1n3SIxfNtseviD5xSkmjnP01eJ4cSbd2ZXxKbB5qLPpaxDYrht fUvROsMZiOyOvyhSLIbP7UvuX06YA/WC4bNPY8XRJ0Ypp7RVCLd43z3ev42O 2cHFQ1VXxDAyIi4h34mOXOGgT4J2sQXfz7h3/Ol4eaXPy0YzcQzr/Lf9hmw6 Kv85vPEFbRE22nbZha2UwKpFRvkVkXR01jLcoyOQwN5epl1xkyQGcD9v9kyU RHqbP7vprCy25m7/yydPErvKPk5qpciiyV1OpP8nSWSGZeRXc2WRtyW1L1RM Cl0eCS2bsWWh/T+XwhNPSSFzROg3EUM5NPFe1dyoL40mR9geBRJLcFJ0fa7S cSaK6Owa5I0sxaeeI9WPzjDRzSxho6ShIu5tS+tQYTNxje7FhgveipjxVpWh eY+JGVGceqMpRXQ5xXAwKGFiTGTaCifRZdhY1yayY7UMOu6l8F1Wr8CM2CBb f74Mpv7LnEQcUMFKVlCPNEUWi75mvv7jsgp237jmnyApi4s6NHKmn6vgMr/A F0Wasiibo126fFoFQ45cFZdwkMUVJ+IhNEEVHZf7c6IqZXHVoMpVkXE1ZD72 0s1MYmHvw/s7/IvU0f2JM7Nr/2K0YcNcUN8avHUx+uEtp8X4IKE+X1tRG9Nt azTXeyzGF8lysTNW2jg0Z7Tp1vXFqLs17alsmjaePizhaZy3GCN/adKVz+mg m9yrj2EqS1D05yohR6ouugTNRxoOLMG3Mw8O05+uxTpn+2zpGXn8/3/yHw2e MJo= "]], InterpretationBox[ "\"y = \\!\\(TraditionalForm\\`\\(x\\^2 - \\(\\(3\\\\ x\\)\\) + \ 2\\)\\)\"", StringForm[ "`1` = `2`", "y", 2 - 3 $CellContext`x + $CellContext`x^2], Editable -> False]], Annotation[#, StringForm["`1` = `2`", "y", 2 - 3 $CellContext`x + $CellContext`x^2], "Tooltip"]& ]}}, {{}, {}, {RGBColor[0, NCache[ Rational[2, 3], 0.6666666666666666], 0], Thickness[Medium], TagBox[ TooltipBox[LineBox[CompressedData[" 1:eJwtzH9MzHEcx/FzKlKhruP6oeuuo+5Ud32+1OTHvUkrRlLKZGIX5kfJMGr5 sfRDfk6dK51aP7QWjfyYnIb7EPk5zI9LxJD8bETmZ8nHPu/39tpjz3/eCkN6 3DKxSCSKYvsvP4Fyx1H7ZVHEYxFBBSp5fDW1ujAEJTSu2ZyivqlDQ2jW58mp +zu09OIPn9DrX3TUssm8qmFOMG2fOPtMq7+OxhQl+P4tDUSDaVT5hZjoLg0a SGuvZdrWL1SjY2ly7gHp3Tp/VE23Lhl43EkyBg2goiC5NSJPhY6hT3aX7qh/ pERV1HvIiiPfpilQP7p6vMb+qbecNnqatqftU9CUsOd1zc1eqJxqMsL719TI UG9a9Sz+SuZUKepB32ZLJ0XJ3NARtMkUEPku0YU+m3lAuaHejeret33Tljug Q+n0pqeOfYkidDBde6Thp6ukx2p5OL+3YOcAmrjcr+r+5jZrcVt03bjF363X brftEuIf68s8jOHLbR3W8KBLp2JLevT3VjoW5zXd1os3StuXeojArktjuUG6 9YOcY7MNnxxgqKxSfLW9T5/zwhax7rALcO3hxKH82K1fXWFJmEtV72snSK9e Ovx1ohR1heRV5lE7smWoO+ycu3GCUOaFjgQ7d9Obbb99UE9ovZXXnTtMAcdL nF46yn0gIcsQam5Wor6Q6vRReSdJhSpBXt9S7PBhNOoHWZaI+GGH/NHRsLY2 tTFUq0b9wVkcZgju1KABEJk2z6QxBqIakJ0blR6pCkYDoWhdQaGuVYsGQVz+ nKDyRh3UOFckhadpQbMwN6FmSwiqA9sbx2pjAkFD4I6hc6qbXEAJmE2uDpm/ BJTAq/zLCiNrLgF1xvrJx1hzCViSHm14yZrL/spLO2b8FlACkqO+lzz/CCiB PRe1m8/3CiiBhw0vSmysuQS8qgpPd7PmEjia0/NB1SegBK5Hn12wlzWXgN2D KWHJfwWUwKwrn+MyWHMJGM9UrilizSWgPCiubWHNJQCLWty1/QJKoCBmk24G ay6Bu/qAWSmsuQSSlbtySlhzCdRKJlacZM0l8Mmuq+kWay6B0O9ltk7WXAJb 3s7+2s+aS+AfHpwHOg== "]], InterpretationBox["\"y = \\!\\(TraditionalForm\\`\\(x - 1\\)\\)\"", StringForm["`1` = `2`", "y", -1 + $CellContext`x], Editable -> False]], Annotation[#, StringForm["`1` = `2`", "y", -1 + $CellContext`x], "Tooltip"]& ]}}, GraphicsComplexBox[CompressedData[" 1:eJxVeHk41N37/9i1WStbQkq2IvVY40yltBGipGSpJEqSSrsKbURRPFRUHpU8 GVFIOZSQMfMeS7YU2YsYzMow37vfdY3P8/sr53o359znnNdyn5eO31HXA+Ik EslXjET68++hDtZMEomJ4M/y0p8HSuyTbTfVpDNR+pE4w+vbnuB788Znam0b QQwj3SN2Nnl4RKvqRPfICAphbr045F6Ml1Rrng+/PYo6VM8oX0BlmLDqk0mw G0PaKr6+Vrnl+Ir5BxvtjjGU/Og0K/JCJX7JUxhbGcdCsrKWaz/Mrca5nn0b 5tuwUcR9/xXHDGtwySZiXdBXNgp/NnrMKp+G10wZlm+4zkHxsxK08G86pqPk 34lGXFTa6WXX/pTAq3Ri83KruSjkh5nd8XECK1SxBW6neMhnrRPTpJvAnImj w4GqfERiVo4F+hPYle11QKaSj3yevvVMCaLjq7fqT4WGjiPTvw5MRonRcEW+ 50pnpQkUcvTj64MbqfhsuntoPp5ACiWqGzX4Vdhazc/zpq8A+dRs1rU9WIGP 7uz81K8wiUqv+Bn3GH7E5//6RZv7fhKR7DVtrilifDdd4mKe1xTy4VF0N58u wLq18XnNs4QowuLIy5V52bj4lsntkJdCRML6fgMTCXgeJytqQI9EJnFcNI42 JKBrMuGSfudJZPKFBOnuRxQU0U5rUqSTyKXFo1/f73qHVqV8G4xcIkZOD9jc 7csvRw2LVzh7nxUjR9waKtytXoP4J+bIHqeKkbVXCEaXJdailudPxDYvEid3 +EbUyqd/QXYZH7Z5Hhcnm5ZmkMzvt6C44CWDtR/EyeRdtD61N99Qqsba6tlq EmQm6YdDgukPZBzXJ4g4JEFOb7gVah/ehcJ7NhwrLJUgB3B2UO7O6UWbxE2s DZQkyfGWP94O3e5HMsOeLmJ+kmRZvclZtEUDKKKEnHW/UJJMOuG24KTMELrg lrPz2Awpcr+ZkXtiIBNZ0Jo2zPCVIsdcqin9OjmC2ubZR8oWSJHdWm889Eoe Q9JLrOavkZEmdyTIJbkuZqOB+f0/V++VJof8q1be1s5B7oSWUmiONDmAHZWx 6SYPZe9MvSYnlCaTujboM6zHUckHBjnYXYbsU6U5NbVAgNxZtxxlMmE8VH5N eXASPZWVub9vUoYckR2yZydTiGriosaFQhkyY69Ou1AoRDtWqxn6OzNRxCv+ 6Rv5CTg56ZBKlgULpetoqqc2V2GKgWDBkh4W8tnnWiK9nIotXXd/It9kI+2S gvudEzWYtHhSYpcZBzHHCu+WeNOxbNqP5iOtHETpvySfvZPAlyh3nHXPchHp n8ONUd8I/DhsjYeEDg8p8P5WbJ8ksESnGae9kofipZ5K8XMJnMHzNyw6ykfp VuhzD5eOB8uSh94tGEfxWlNmP8tpOFMnyd33A4wtwy4eW1GD0w2bXcUPTaB4 3TMJR02qcWvb7t40BQHSbrA257yrxNZbN1Bzp2TIpiuKTI14QuQjd1V9pT7s ty/ZZE7fFSzXd9egZxYLMcIEvY4mVdjktvQ147csxOQfKBNmVOOwHTrRRvvY yJRVa+V4rwa3m/fqdkpz0DM35aTsOXSc4RTt1JrLQRGN2cTgEgLrh8/T2rOd i9LdgimfPxF4YHNfVCubi0wrzkXXCAk80z3xdEoaD2mn/fBGdAI7nhmYrWQP /FWQWPrDjMBpuycMOkf4qHQ4SbZZg47ne7zuPZQyjkIo3QdT7tfgvKNq657b TiBKTZlBEq7GWSUexob9E6hj9lZks7cKh2Rl5s2E/RbynY3WsITI9MNIrqYC 1G8/admUQ8UTjncld+TBeFzFc8VuGtZWnNtNeHGQaXTXkaNZdBw0vHqfmAQX aa9VahdcJnBrv/zlX4/h/ho8KMrDBN71MNXQeCsPlZ680Z7FIrAguDZ0CZOH mCce/tgTR+CJk50OPql8xAw61xr+mo6t9c3zkhzGUan57xaaPw1LDPV0egD+ +l2fH54nEKL93Pd31OaCXmeuznQlheEquexX4pwxRHJ+2tPcVImHym/aUjJY SMFMpa7Sqxrf8Yjs1d7GRgrjW2fq+9Zgp9LWPL0RNtL3cTVo/0HDoZke1+Mf cJD+tWefnsyEer7uiA5HXNTh3U9OKQA9NX+7YEMHF5EDJ4tkpwgcK7e++BTw Kj7HxVe8lcCLipddsFvOR9reUSjRkcDhz7Irw9oAj8tVPzy0p2On4/YmwdGg ryPi35qIGrxaybpYsBTOf+8sl1+SVHzHZOe24XrQW87brlPZVTimpXFpAfCv +Yu87dZRIWKyTx58NM5CzZJM6pejVKzuzNu/JY2NeLGqDFdjGo5PkQ2buxH4 8/CBnkQ0nJ+D/MOCIfCLbNf1i4IJ/HKry0/pOC6KJ/XEKPUR+ML14LIkcx6i 0CwYy8AvIvQv54u3wX7OtWWfeERgRsHiopgoPqLkTl550ETHyif6nA3NoP5b 3fPL7tHwQs35O6XgPqrsOxy0x4WokZOnvLiCg9I5abYpiMBucxsK0EEuYpYO xxypI3CF99zh4Fk8FMKmPCkBPEendlm8zwM+K04N9JYS+H5SoP4WFajveWmb zT0Cy0TR1elvuIixsIp8nQ3+lleVUOoLeBm9jXb8JnB/yevgbFg/effctJlT QtQb1EKfPRPwQDf/e3L2fpy5yOKU4sAYkr0xixr4ohLT9zqpjv7NQs7PrUou WFXjxy2v72msZyMKV6p+an0Nlpb6MrGxl40K9zTucKDSsGddWWZQAvB1WKt3 v4COu2O5RdF/cZHPKwmzoRzQoxe6/We/cFHETTGzcAGBnYI09/hfgvMLWNi0 pZ3AMV/pb9x0+cg5bbmejSeBe5yi5pfU8hFDN2rU3YOOf5FitoecG0fMO9Sm jv4afGnf5lN6mnD/SUXFXXpULB3Q2FH7GcZTA+8FdVVYfWTIN/YPHsRmU11G hIgRZ7W2axj0lbySv3QbFRvUGszbcBf6BdfEga1zaXhju/g7c1sOKtTx7tM4 Tsc6x8OL73RzUEjI4AP1fQROnhpZMC8KznffjIzznYBvYVMMzQjuZ2NdJhn2 szbK032klocYpvEyv54T2Lr508jjM3wUckRv5WQfHUdolKYdXzqOKPJzrsu9 pOHsVctvfwX9oJxNfruEL0TvF2muEBZzkE+M/jgH9MmuImzA0Qv6lVR5Rcca Ant8Of82gwTrrSNRhYCHjbzi5hfPYT0Hu4ZPlQSO/Fi/Xm8O6GFqUC0RQ2Cm +VGntmzob2aO/Lo4CnjSN/Pm7OAh55RTn6xHCHyykfbsMuCBmWQoqTApREqG b1wDN8F9DcwK6ioBvJc6uygMwPrn9RoXw3o1uYfVr9/lIZJK/63tDQQuT6G8 5iVzkfNZYbz9AIEHlaU4vmugnqvVsZlcwN+vLF2r+bBe2y2FGfD7hfXL+nAp 6J3i91wTHuDB1rvqxmH4HtHiONlPYM+nD1Y1Qj0dD/xtpcAv9fX6DktLAT7D JS/vU3bDidnnWpJ7xpCq55om6buVuORFjlRCIguV7rb9vXxpNTZMoQ+pkkFv 3S/F2VvWYL+ldVqtHWzECM/VIzANOwWc/GvXLfBP6bftC9l03NJbWR9rCno1 VDV37AWBg/ybafMZcL9xiesjJwic8/f1bK9z0A+ObIqr/kHgsiCt+nZN0Kf1 mkxfHwIveDzy3q8G/KM+86K0Hx0XVuYcOHYK8LnOrgexa/DiGFf3YpUJFCFf 759vQcVkyXsGH8snkE+fOE21twp3CMYvhAM+PRxcEhqgXyhtSzGJ/AV+6FZZ 9Y8dFVNurz2yLp6NfJSPuSyWpeEMMVJHpQXUT2ohnTtEx3NnLNscAX0L6U3S yhAv4M/OD+YLIriIol+vJtdB4JaimNAAPR5KP005tBD8/3FexT/9NTxkamFi NvUvgY8GzJdbfgL8sNbNl8Sk4zfBxg6qi8A/omZb3Cii4eNk65cVgM/0CpsT z8DPKYW1ePANB3VYU8suGBN4pdZ6KXcPwNeCne9VPoOex5ulownAw3fLNyy4 7+d6+gZPMuD84p6sl6eCvu+61qAsC9/Dtf4auwr8jkMBXU9BD5RtDRuZBI7v 6rW/7QJ65TvhLTZG4NWdLZ+OAB7iewQFd8C/pK9EHz5mD3jcdMdsSzGBHc5K WbzoAbw6xrj/A/5i3NEcGBEP+7tIeWLRROCisQhCmAD+43djwOIngV/Ti74K bOB75Nl3PMDfZIb3jAYFwN/alIOhUK+S8RSpshjmWz3wpZ8DeOApv1xyEOpR MnWzBHzr5D13Kfvjp4cZv6+CfrYwg8V/tML8DacltsH5OtjrPjVbAfzcL6xa D/iJU//cMEMa+MCuK/8N8wu+PVz1JRf0vTBsVAH8PF/qftAJJpzfBNXmKnwP MuHYPtTgoYiPtx5ehv0YnPGiFX4CPj9Ib/DiEzgh9bbKAKx/bagx9jLwY6PE kM0VceBHwGz3gvn2OOZY2o22zjHEXP7+yefrldjc1edc120WelY3YSbQrMbB 460pSbZslF5cIbEX+rn4Qkbuou/g5049Apm3oH95DAFxE/zoxXfz0BE6dlOm +CguB34cKyIPgp4xPr4i76dBf7Jt7QEh+F8HBbu1nOahDlJuIKmLwG15Dr5L NEC/1YsNA0EvC6hPFV9/5iOF06ESDf50rP2ibGgkDPrJVRPy/tDPnkjfUS41 D/jhxyhSJFPx3jo2zebDBGKy5tg+GK7C5eKX5gQDP3ivP3HvAj8sr2zJbOgD fgho33eZUzFrxEntQywbXTM6mCItTsN1d6aOKfwFfLBsm0jfT8dyblcVuW2w n5Fyj9vgJ9KRWR/TzgO/h9fL076Dvqoc7HmtC35KSPhehvurqxY47q8GvEox KqbAr25Q7O4fD4X6o5TonDE6dknuTAnUGkdkOYcttqAnOzaUrn4H/OBZtNcd An5kSRhf3ZfPQdpGLKGlAfQPW5bdaXYHfy6TpR8HfY7+PVs5lgd4Dyha0w33 3Wq7t3bhYx4iX3h6Pgv0PTSjM/WGFPBX6LzmbBSBfd4tZfv/A3gXhEjyoB9k kcsKvjtB/3FZ52ML8EO739ttH+BhY7OFkhvwIyInmM9aA/jy6mKcKCJwdnP7 c14n9MOhui88AU97uHLKgljA+9SBZenNoM/ah/ZcuQ31vPXarg/6q26c6LTZ CvaPCn/eA7z5iVuf05GD/28maXAf6o3x6I3dXAR4fHNx0WrgB8N9SPv4fvj+ N/q9eZDAkkUmHW/+1KO9c8Mm4Ied06YTy5tB7zcssOsDf8x+NKkWsRz4cNjh awXwg3XqicNOCfCTlRuDxmH+kzOvlnnkwP5/NUdtgf2p7Tv5/cNvwFv9zuxd 8J0Rw6AMqMJ6/r/PfIb9ZGSu91z9Efjjc6D1M/D55COVzA5Yn3z5Ss864If0 jCnPz3VwHk8M2sVg/bA9r4TqBrA/bppRHozfm3ksG50E/i6d6JqE+Ts1jcq9 +rlIQWBR1A/zJztE3YtWhvNectx7DXw3fD/k+04W3hMx6U0tMHZ+VsZbOgbn y70c+S+Mpes0qM4LAU+s0LOr4PeUu7Ous6Gewk4f8zKo5z95SV3pzwN2orwk QjZv6XW1DCTKS3x2PcphjuQjUV6iILy0x2EhRqK8RN9lqP/jzXIkykvC6VYo mfUZifIS1XzF72JiBBLlJYWd62qI1XVIlJeUBz7Q2DXYgER5CU/PVv7fI01I lJdI8l8oaCxpRaK8xFLo82b7yzYkyksYkavoFYbtSJSXaMcP8J8PdSBRXjLI bf/+xbQTifKSjF/F1XK3upAoL5HTfDrc3d2NRHlJzKHX/umLe5EoL+GQX3QH XOxDorwkzKw8f/7HfiTKS76/LL9Zq/MLifKS8cCGVIMzA0iUlxiukZnyLx5E orxkw2Odg7kqQ0iUl5zU9F70Y88wEuUlhoPus5ocmdN5iYI8U7Z8nDmdl5Bw ao7u/ZHpvCRgVXHLjC2j03nJs01+6SWc0em8ZHRAXaH33th0XvJqu4NEoj1r Oi85tzEqLb+XNZ2XLPy2uflJFHs6LzG3iExUg3e+KC/xWEjwxeo503kJszq2 M+QSdzovuSO5N8x1MW86L5H7/vqxeDnvf3nJ+UtuVsf403mJ4NnenE6l8em8 JDglJ1YJ3vmivKTQ6JqsYvDEdF4ye3Oo8WU5wXRe0riMUX/6nWA6L8l6iBZ3 752czks8cswVNacmp/OSc1GPLrVlTU3nJVn9mqlyW4XTeYmTopxl5fj/8pJk rVns/y8vmbct+oZaIhLlC2HJMff2Tf4vXyCZXl0XqxaJRO/xDjfHg3/eu6L3 r3Qb9VPu1H/ev//vjzAkei+q5v27LXhCiETvs9XWxi//vI9E7yXG+aBvHsL/ vJdqml49UNuPRO+LVZ3fPqrD70X9vMehPYsKoD5Rfz2Yneryp58V9bf5TjaH sv/b36Yn389Tc0OifrCUz55kwnmI+q/eiLA9sTCfqB8KL8+7+RXqE/Uja/23 P/nTD4j6Az0LXZPG//YHZPWQdjV7JPLTa1LiGm0wv8i/smMiTofD/CI/ITPw swqYX6TnsqHepUdgPpG+Dq412fpHz0T65mOkojQA4/8DGVXIeg== "], {{{}, {}, {}, {}, {}, {}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl1Hl8z3UcwPFNuhwlxjaz2dy22WyxoQ1zbm6zEzNGKjElKUkX3aULlavo UHTTfSh0OKIilaJbhahQqVTPz2N/PB+v7/f7+D5+j8/n8/4+fklVUwura0VE REQyLrKmn7GS2YymN50I751EbU7mFE5lN49xFRX0oTOn8TmPczVj6EsWP/IC t3EhhZzOF6ziGirpRzY/8SK3M5kR1GEPq7mWsfSnC/t5iXlMoYi67OUJrgv7 JZ/feJOFXEpXDvAyd1BNMb+zkUXMpB5f8iRzqOIv3mMZBRzhLe5lBt04yCvc yVROsIXllPAHb7M4nLGB7NQrImqGtE0eDmfl+hOtz1c8Ffbn2dwwI/1Qx/M3 mzjDswfCvPRjPUsH6FHWh99xf1+Yq+7QBnqZ/sf7nOn+oTBT3aUN9Rz9mVfD Wbi/K3wb+pFexL9sZQWl/Mk7LGFW2I53t+sjYX18zdNczwT+YTMPMpBjbOB+ LieHQ7zG3VxMWVgr3/AMN3Aug8jlMK9zD9MoD3vlW57lRiYymO78whvM5xJG hrPjO57jJs5jCD3CufA9a7iZ8xlKTxqxj7XcwgUMI48oGtOEaGKIpSlxNCOe BJqTSBItaEkrWtOGtrSjPcmkkEoH0kinIxlk8gPPcyuTGE4vfmUdC5jOKI7z Lku5klpm+IE+Sh3Xn4Z96tnaL7LmP2UkYyminEqGMoIyxjCQIRRSSgX54Rtl MMMpYTR96UNvepFHT3rQnVxywvdJN7rShWyy6EynsEYyyaAj6aTRgVRSSKY9 7WhLG1rTipa0IIlEmpNAPM2IoymxxBBNExrTnwIGMYxiRhHF/z3llIs= "], VertexColors->None]]}, {}, {}, {}}, {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[CompressedData[" 1:eJwl1HXQVFUYwOElVUAQEUkJaVHpFinpBhER6a7vo0uQUFBUEKW7S1oapVG6 u7tDDEL6OcMfz/7uubNz557z7mz6xtE1omJEIpEkPkKPMYvefE4p8hKTWMQm DnF5iePM5kvq8RH5eJkTzKEP9SlNfq6ynB9oQw1e4SS/0JcGlKEA11jBYNpS k3icYi79aEhZCnKdlQyhHR8Tn9PMoz+NKMc/rGckXSjEDVbxI1HU4h6bGUsP EnCG+XxFYx6ylYmU5182MIquFOYmqxlKNE/YwRQ+4T5/MC6csYEc1J6E4eyW 6eGsXB/RVznLgrA/974OM9J92oRHbCOhe5PCvPSQJtYK+h8bw3OsR4e56gF9 TbvpM3aRyHpamKke1te1iN7it3AW1j+F34bu1/Y8ZSdTqc0D/mQ8X4Tt+O4e nRHej3MsZABNecx2JlORu2xiDN35gNv8zs904NPwrpxnEQNpRiWK8hdrGEZH 6oS9coHFfENzKvMhd1jLcDrxWTg7LvIr39KCKhQL58IlljCIllSlOEm4zFK+ oxXVKMEbJOVNkpGcFKQkFal5izSkJR3peZsMZCQTmclCVrLxDtl5l/d4nxzk JBe5ucIyvqc11SnJ36xjBJ2py/9sYQK9iGmGe3Um8Vwfjbz4H8mjzwH6oYIa "]]}, {Hue[0.9060679774997897, 0.6, 0.6], LineBox[CompressedData[" 1:eJwNxlk2QgEAANBnDyoNolSizIUGRBGaeKhQpAWw/z/3455zM8u/8HclCIIh q/LJG0/0eaBLhCgx1oiTIEmKddJssEmGLFvkyFNgmyI77FKizB77HHDIEcec UKHKKWecU6NOgyYXXHJFi2tuaNPhlhljnhnwyD1zJoQM6fHFlBdGfPPOKws+ +OGOf/6YFCM= "]]}}}]}, AspectRatio->Automatic, Axes->True, AxesOrigin->{0, 0}, GridLines->FrontEndValueCache[ analyse`grids, {{-5., -4., -3., -2., -1., 0., 1., 2., 3., 4., 5.}, {-5., -4., -3., -2., -1., 0., 1., 2., 3., 4., 5.}}], GridLinesStyle->Directive[ GrayLevel[0.85], Dashing[{0, Small}]], PlotRange->{{-5, 5}, {-5, 5}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Automatic}, Ticks->FrontEndValueCache[analyse`ticks, {{{-5., FormBox[ RowBox[{"-", "5"}], TraditionalForm]}, {-4., FormBox[ RowBox[{"-", "4"}], TraditionalForm]}, {-3., FormBox[ RowBox[{"-", "3"}], TraditionalForm]}, {-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm]}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}, {4., FormBox["4", TraditionalForm]}, {5., FormBox["5", TraditionalForm]}}, {{-5., FormBox[ RowBox[{"-", "5"}], TraditionalForm]}, {-4., FormBox[ RowBox[{"-", "4"}], TraditionalForm]}, {-3., FormBox[ RowBox[{"-", "3"}], TraditionalForm]}, {-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm]}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}, {4., FormBox["4", TraditionalForm]}, {5., FormBox["5", TraditionalForm]}}}]], TraditionalForm]], "Output", CellChangeTimes->{{3.4164836658771772`*^9, 3.4164837141989403`*^9}, 3.4164837612469063`*^9}] }, {2, 3}]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Calculer l'aire de la figure limit\[EAcute]e par la courbe ", Cell[BoxData[ FormBox[ RowBox[{"y", "=", FractionBox["1", "x"]}], TraditionalForm]]], ", la courbe ", Cell[BoxData[ FormBox[ RowBox[{"y", "=", SuperscriptBox["x", "3"]}], TraditionalForm]]], " et la droite ", Cell[BoxData[ FormBox[ RowBox[{"y", "=", FractionBox["1", "2"]}], TraditionalForm]]] }], "Titre2", CellChangeTimes->{{3.4164831689580917`*^9, 3.416483230484221*^9}, { 3.416483361925158*^9, 3.4164834030304117`*^9}, {3.416483443874311*^9, 3.4164834575074177`*^9}, {3.416483559595859*^9, 3.416483614849559*^9}, { 3.416483853399644*^9, 3.4164839360059443`*^9}, {3.416484103553626*^9, 3.416484126414834*^9}, {3.416484310081612*^9, 3.4164843104044943`*^9}, { 3.416709358935704*^9, 3.416709364322959*^9}, {3.4167094522453547`*^9, 3.416709462676166*^9}, {3.416710023968668*^9, 3.4167100358188877`*^9}, { 3.453604061812327*^9, 3.453604075593142*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Surface", "[", RowBox[{ RowBox[{"1", "/", "x"}], ",", RowBox[{"x", "^", "3"}], ",", RowBox[{"1", "/", "2"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "2"}], "}"}]}], "}"}]}], "]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.453603946745122*^9, 3.453603989803412*^9}}], Cell[CellGroupData[{ Cell[BoxData[ FormBox[ InterpretationBox["\<\"\\!\\(TraditionalForm\\`\\(TraditionalForm\\`\\(\\(\ \[Integral]\\_\\(1\\/\\@2\\%3\\)\\%1\\) \\(\\(\\(\\((x\\^3 - 1\\/2)\\)\\) \\(\ \\(\[DifferentialD] x\\)\\)\\)\\)\\)\\)\\) = \ \\!\\(TraditionalForm\\`\\*StyleBox[\\\"\\\\\\\"[\\\\\\\"\\\", Rule[FontSize, \ 24]]\\) \\!\\(TraditionalForm\\`\\(x\\^4\\/4 - x\\/2\\)\\) \ \\!\\(TraditionalForm\\`\\(\\*StyleBox[\\\"\\\\\\\"]\\\\\\\"\\\", \ Rule[FontSize, 24]]\\)\\_\\(1\\/\\@2\\%3\\)\\%1\\) = \\!\\(TraditionalForm\\`\ \\(\\(\\(-\\(\\(1\\/4\\)\\)\\)\\) + 3\\/\\(8\\\\ \\@2\\%3\\)\\)\\)\"\>", StringForm["`1` = `2` `3` `4` = `5`", analyse`Integrale[ Rational[-1, 2] + $CellContext`x^3, {$CellContext`x, 2^Rational[-1, 3], 1}], StyleForm["[", FontSize -> 24], Rational[-1, 2] $CellContext`x + Rational[1, 4] $CellContext`x^4, Subsuperscript[ StyleForm["]", FontSize -> 24], 2^Rational[-1, 3], 1], Rational[-1, 4] + Rational[3, 8] 2^Rational[-1, 3]], Editable->False], TraditionalForm]], "Print", CellChangeTimes->{{3.453603975415924*^9, 3.4536039916875763`*^9}}], Cell[BoxData[ FormBox[ InterpretationBox["\<\"\\!\\(TraditionalForm\\`\\(TraditionalForm\\`\\(\\(\ \[Integral]\\_1\\%2\\) \\(\\(\\(\\((1\\/x - 1\\/2)\\)\\) \\(\\(\ \[DifferentialD] x\\)\\)\\)\\)\\)\\)\\) = \ \\!\\(TraditionalForm\\`\\*StyleBox[\\\"\\\\\\\"[\\\\\\\"\\\", Rule[FontSize, \ 24]]\\) \\!\\(TraditionalForm\\`\\(\\(\\(TraditionalForm\\`\\(ln(\\(\\(\\*\ TemplateBox[List[\\\"x\\\"], \\\"Abs\\\"]\\)\\))\\)\\)\\) - x\\/2\\)\\) \ \\!\\(TraditionalForm\\`\\(\\*StyleBox[\\\"\\\\\\\"]\\\\\\\"\\\", \ Rule[FontSize, 24]]\\)\\_1\\%2\\) = \\!\\(TraditionalForm\\`\\(\\(\\(-\\(\\(1\ \\/2\\)\\)\\)\\) + \\(\\(TraditionalForm\\`\\(ln(2)\\)\\)\\)\\)\\)\"\>", StringForm["`1` = `2` `3` `4` = `5`", analyse`Integrale[ Rational[-1, 2] + $CellContext`x^(-1), {$CellContext`x, 1, 2}], StyleForm["[", FontSize -> 24], Rational[-1, 2] $CellContext`x + Log[ Abs[$CellContext`x]], Subsuperscript[ StyleForm["]", FontSize -> 24], 1, 2], Rational[-1, 2] + Log[2]], Editable->False], TraditionalForm]], "Print", CellChangeTimes->{{3.453603975415924*^9, 3.453603991749524*^9}}], Cell[BoxData[ FormBox[ InterpretationBox[ RowBox[{"\<\"S = \"\>", "\[InvisibleSpace]", RowBox[{ RowBox[{"-", FractionBox["3", "4"]}], "+", FractionBox["3", RowBox[{"8", " ", RadicalBox["2", "3"]}]], "+", FormBox[ RowBox[{"ln", "(", "2", ")"}], TraditionalForm]}]}], SequenceForm[ "S = ", Rational[-3, 4] + Rational[3, 8] 2^Rational[-1, 3] + Log[2]], Editable->False], TraditionalForm]], "Print", CellChangeTimes->{{3.453603975415924*^9, 3.45360399175324*^9}}] }, Open ]], Cell[BoxData[ FormBox[ GraphicsBox[{{{}, {}, TagBox[ TooltipBox[ {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Medium], LineBox[CompressedData[" 1:eJwdVXc4FYz/vfZe99qyR/EiqxQqI+mmVLJKFEpIyCwZFW9pebMqodByLymJ jPh8zKzsVfa6yAzZ49vvd57nPOc5/5zn/HWOtKOn+UV6AoHQ+5f/p8Gjx+a2 tjRR9JJ0enw8BWg3BP90rWuiJAu9y8skCpjx9i19WdHEIPlMl7cpFJDa67Xh Oa+Ji7fqtPMoFCi9H83aT9NEDZtZ8Yl8CrCqdkjgd01MNboXFfmTArG+501v JvzN387i0riNCul0Pq8J2n997bkcpzdUYLpooiFip4FfvHJfRg+kA6mzwj01 Sh0f5Kue8pd7D+Zlz50Ua9RQVV8nISskE27M7HN/PLQTm7YiAg5yf4S8gOdu H46r4q9O/n2awx/BLNpSajNeGW1pyUsfaVlgklRkdnhSCaU7frK5MGbD22/X 231sFVFe7HUoo/pnsA+PFWhI2445lUbl869yIOQ8QyYHSQEvfNsSKlL/AgQV STD6Vw5ddf21T8/nwc8H8XfT22Rw2sq2Q3BnIbRUSGWcb5DBcUlSs+qeQqjb etcoUC2DZRW2w0cNCqHYJ1fk5lcZjG5Tdkk4VQipti3pFq9kUORq4PPb1wrB 7R+uxg0vGXwhMK0RWlYIazU3hU9wyuCZz2h6zv4rbGN3oSwYSmPXOoeTKaUI 7IvrHsroSaOWO70Pa04RpHire53YJY1DycpN9VgECl2ruzO2SyOL1u3XAZ1F sDPjUbkTpzQ6Z/QM6LAWg6FZdl9zmxSe++ZXFeVaDK7RmwJZLlIYpe1T0KYJ cHmXElPXNkl0dr34psEXwZsp/50/jySy8B/nHLuBENhmcoRIL4m+wWqxzGEI 9/0u/kcelUCl8HwFqygEak6ySF6WBG7/ybJXPxNhfJeQatwhCbRcjDU3GUe4 tJvR+riXOK6HLnnZXygBD+aYlV+O4miWkhdk6l4C/u3SiXcsxbEsQLbigG8J 3PE/MFCkI471xqi5P7wE3uYGXlZmEkeVT8mpMa9LYGT371C259sww9j8B4VW Ak7avWllZWJ4/xPZutGrFJzTtK0OfRHDpNxequT1UnATiWKopoqhyn7hUP9b peC1ZmRfHyWGpFGDZp3oUggCCunHOTEki9EZS34uhVgTv5DpNVEcZY98d36l FCqtOS1EtERROoF3iHS/DKqrLtIlbhfFJqrHLZeYMqjbC5kSYqK4994JrsrE MmgW82aToxfFy0JE6cQPZdDX11Gs2iiChVqSb3PaymD50ivFg+4iyF+uMEqR LQelazpbHq+FMdIrr3+1shywx0xp6IkwejqMCFxpLgcrIydL63t/vXH49ERP Odzmfph+wEMYHybv7OX5Uw4/XvdY8+4RxvR0Ze552QqIaLr5MatWCCftSKw6 4RVAU/rmsDAniJ3XFZo9j1dC0OOuhy4jgvg74Ppk6tlKIC7OfOnuEMR9ldcy R1wrYX+JMHfFV0FkIbnEPw+vhDhrt4K4O4KoUamlWFFQCQfDuUjaooK4O3En i7bSN0jpOVV+3UAA0+tWBy4LVoHGsMZqq5YAPjAK9aqSq4LyX3xqajsEkHrF SnG3ZhXQlhoSaNwC2LJGiTM+UQVKxKM+p7r5UTSDpVb7QRV8OnRQRiWAH+nX pfbeYayG8g9aN/szSKiSb9eNTDVgmUvK1U0moV26TXy4YA3Qvs5NPIkh4fFB 7k277TXAWvPR+lggCRfLzl4yJ9fAsWHlnQUmJGTKDfE4FFkD7cLyvTGDRJSy ZLt6e1stjN4S0DMRJuLybfO1RNM6YA/+MBPDTkRrVuXPIg51oHqN/Kp/nQ+/ PjLY8cW/Dvw9gtkDB/hQyI3kaZlaB8y2I50ZVD40fsYwsn2tDuS0cvyI+/jQ /pc3w+Xs7+BIs/jQ48CLGb/lxtv0G+DOwLSjkgUvvvm90s9t2wDU7gjBgEO8 WPs4bdPHrwHmmr8G8/7Di+o7g9zLqQ1AH0p+dmeMB0venLaq4GiEA+rjTSe5 eFBqrO8iR3AjFMTtMB6z4kI3z3vnr/g0AavtqBOdHheGHC84GxTWBFZSb2+L SnMhy1MVekpME8xRZfHoBCfqXlmMOfu5CRRRQjcrlBM541Xkdy81wbNf/OqB aRzIdHijni6sGWgfWo7HPOLAlImfTfxxzaDlF+2R4c2BZMlXhqbvmqFhiyej V48DC7a6+OTqmoFZgGO7URM7Bol5748SagG/A3TinKtsSFUZNi3OaYFSRtSV 72NDzZoDi3o1LcBbE3Jmfzkbxj467E7rbYEMi/WnXpFsOMi91FHI2grDrkvE Nhk2NGD0WAi1bwXz2CnWF6asuCux8MIMsQ3Uxn8s7Exixq8NnnZcr9vBd1ZF USicGZ8fUq8mF7VD3tItu003ZnRXbswpbm8HA2alyro9zHg22pXHkr0DzGUD n7q2MiE5cdGX7NsBfnaiOq84mFCDrvsju0UnFFzw8Lg/x4iZIXUealc7YfNy aerVH4xYn+prkxjZCXcC3Tj03zHitt8ymUdqOuHZ04LubkNG5G/O85Yw/gEF TWdCBQMZ8HLYdfdE8k/Y7MzM3jjPgKX4IOvd5Z9g2E8/NmzCgDv02Z9yRP6E 2mnqiWwBBizq78wfbPkJ3Rxr0iey6LGD10p70akLtowTyu+N0WGwwjUGjqfd cPDYzLJXAx3SOJPdLKAbIiyMVGxy6bDjuck6z1g38DpNxCmE0+Hm1Cp5RKcH ZG7qXiqTpMPn42Ef9Wk9cLCgi23DioDJ0SekXlv2QSb1zd5vugTkd6j/rni/ D4QTPF2jpAgou53w5Tz0QfsSc7Rp6xZQuVz2LAv0g/wNK96k1U04Jt6hQbjb D8u2vzzVyzfh0fchMb3X/VCnF9JQ8WgTrMdTd/SX9IPv5pvIaalNcDEOCHHd 7IfSW3849U02oDN61bU0aACeON5zb+XdgJSLKzY3kwbA1Ui8zuXnOsidjq7J Lx4AXibjB1FX1iEW245Q6QfhXEQs21DMGphc0hVvfTwI65GazHf6V2BwwnvH zuohaPT8dlGUugK+SSNU2fkheHXCtiLTZwUYPRye1ooPwxFiWHgH8wp8dSQu m/gNQ3xcM72iyjL8OzvSfUNlBNz9nR2LFpcgxcy+IMZuBPStV0tO4hKoGNus 3Y0cgTFhmVuBp5Yg1mu4RHx+BHYnXt2qvb4IXBZTXdnfaH/3hOnceaNF2HBg mHPcokGPXXzxAuciBEnGDMrtGYVwyZJg8eQ/UBQnB3TvR6EllXfdo3IBxn10 p/nfjIEX5cMyH2ke6qxNyuI6foEat0eYYf8c+KtsS2+XnIDf3srcPu/n4HP2 1Mdk1wnw1qPItprMAV/NFTMG+knwa0g1exL0G4KzzWj3TKZgt5bDj0ryb0im CPs9TZqCxWeSF5YEf0PGy7Dc13+mIMAx8bpN1iwweFFOsWRMw/yvf8i76mZA rNLoHo/oLPh+TrN/4jwD+k0cMf+YzcJisLzvEmEGVLo7dyWFzcIyr+TL/F3T IPjdTfbL3Cys7yb+2fdyElKP8oW4DP3tQfiP/eXeSRinOfI0ys7BZjWHFKF1 Ajha5gjcznNAZ8dkWso6ASGGNrRzs3PAHLacfMh7HEzPmB0dk1iAu0f9ct9x jsNb3hsPIrwWgFVwrpb13RhEhbV8rS5fAHbKxGJN1yg4SNqfzPH7Aw+8XTiV /UfhqqVoVFrzH+DUG5F+xDsK1sH7++s1FoGnoffocWMaEC9NdTttLMLjZ7aO H/tGwPX8IQENlyUgOnYG8AWOgOUkH9t8+xLw/2lKbckchieHGCZ2lSyDsFjF srXwECQcdOJWblyF+GED7vxPg1ClJXV7xGENRDOLZUWPDYKNAwv598oaiBvk mXXfGoDvzbMyefs34AX7rgv7tg3Alevi4y6TGyDZmnX9RW4/WPmNtp1O3QSj eitySXsftMyeIRbwE/CQwwnfMI4+MKhKWSKEEPDwAvmlsX4vSCRkBtRPEvCo 6L4/1ZRu8NBi9G/ppkOz97ulHvZ2wVu7S3eFztHjSX01UzNSFzj5q5lsjdGj lbNsSnPQDwiccm6NFWTE+1d9IqJzOkFk7WZEVB4jFgWVeZpPd8CRHk6q0EUm nL1LsiZu7wDnzXZDbXFmlItx2t98rh0+32HWVhhkRpsX2fLRz9qAK9pcyCSH BR9QGLjMm1oh7cpMoPozVpyDV11Nhi1QEuYUxR7Hjgq186VRN5rBJPPutYRs DjzdbkQ9+feXLKJDYuz//tTDgZgovqlGSD4l/un7AW7EyaFrTfKNIML8WIM7 hwfHZi6hTFE9cOh27uFO48XjzKz/pap+B3kmvajbD/gwd1uanUxyLUgNqTPG RxBRQvOwcipfDSxSXwqNvyLhv+SxVemwKrj85PSk1hA/Tp6LqE5ZqIRTSf8G 1R8TxFP+O55JO1cA7LnCrjglhAUPq5xTOspATY+J8cN3EZR+5bJLmlwKqXl7 FJgI2zAin5UxpQBBh7OHlT5BAntfnnxjYFMM6/3izVf6pPB9XZShgW4hBE3O exl8l8EbK019+hJ54J9fXBitI49kBWKwPl0OGMS5CRPP70ChU+ai+sNZoLrE zDaSpIy1W3KeoZHv4ZFPz9pzc3WkfxJV6zpPAcL/Qwv/BwwyUtU= "]], LineBox[CompressedData[" 1:eJwdlXk0FIz3xu3r2MmWZMmeaEQo90qi0qaVVxFDSAsiW96SlKXoJbJEJBqp RJHs24wt61D2fZdIxkTy9fvdc+655zmf+/z5nEfO/pqlIwsTE9Pwxv7f3Xz2 jFVVLRmY/n90ML/rbNB9/yxwsXOj254mIl/5jEK1dQ7E7yvVuXR0B0L065Dq m3kQcSz4ZqmFGro7XZ6qjskH7RYX6cBsJUzTV7eoeV8IrEFLKTu+KyCNMPO2 pqkYWlTFB0Zr5JBjMEuIMlMG09+e2yrwbMUkq10GDsEVcOmiheRtAxncZfLk 8ohwFbQs0E2/fpXCJo2lJIfUavh7Zenl6VYJvLTpdNPIDgrcDvctfyIijkxM H9cdSqmgvV/RxDxKDOOnRLVHLeqA1BPs9mKPKO5sv2FP6qkHeqVfzXlBEWwo pkWPujSCUsdM8V82YSRl6NSQGF/gAd+mWUcxIVyLjKGPhjTDau1BWe+9gtiw ZyU6N6wFsPBBfs4iPz7Vzsr+eaIV5KW3ZCZH8iFJybpmp2QbMDtklGgcIqCW NE+/x2AbOOsRtB7L8uKawGd6bmY72FkmtiQSeLCezVVg8SoN/haHNT7l58bY 35IqRN0OmPcj9egrcKH9XB16rnWAd3P1gWBzTtQc8bXKq+6E9poXqZUBHEht 7AojnvwG/U72F84T2NHZp5v6j3oXRJ4Vvx9/lg25FHvYglm7oSd7verxW1Yk N/cYZ/d0Q6BIRIWaICse8u8NpOX1ACFRqeCyPwtOK/UV/QnvhVNlTod9fzBj eFsfQ5HUB253cq0eX2bGRtUBDy/RAZji724y9mVCt46Bd89mB2BiXxxPATcT huB1ur39IMh8fvr2K6yD8ux1YrjBEGwWr+ygFKwBw3jhRErGEJyjtLk2M69B bZz79TzhYeB+GW197tQfcDbxeNMzPQx7bx/zTBdchd3xPxt+nBmBSz+a1h18 V4Drh8c0a9UIoKEmPX7yN5ATPJU1EkehssTGru0bA/zmF02Rcwz0cgL6ZawY cOjADdIpzzFw+vQKrvcvw/TCjdSAw+NwWYfdiH2ZDp/NlsqiCsaB4VNlUBVK h7BnXv3pChNA1GnvubWVDuoHvaW/rE6AxWdXDyGrJXB7fvOJTPYUJH9nsYxe WIQ99OU8bYlp0DfwXGEkLwLBwqfNNHgauHjt/64fXYQ3yz4CV21moKN1wNUr /yfMHfULLSV8h6G44ocrKQtQmr6S2ebzHdLeVdids12ARyt+lPHR7+BLF30Y unUBdmT4swqUzIGy8cS0xKt5+BRYWvpOdx486WYuQjE/4Dn575dCt3kgcq99 Vdf4AQ9oRn1VafMwFm2zf4oyB+fUyla/8i9AguDXrknWOfjdUbabaWIBtFzj 7vwbPwsbuTfnkfkJSuaH3mnsn4V6dTwrevInEFQeS7XOz0DCnXIvlbKfsEdK Oavo2AwYbK/IPR63COzJxAKS/DTsonXGltYtwk4dHa/6gSnQ8p/10/izCEcy 8ixvJ0+BUp24CdfFX6D9RPTaR9kpEHG82l6mtgTzE07R5lqTwE8ILth+fgmK 5qB5x/IE8OTFJyZGLsGfapqcfNkEMDHXONz8tQS6vmcP8lpOwGyS9C/NUjps cU0z07k7DhMm2t+S5unw/f7FifwT4zA8faCYR2EZTik/NRGSG4eu3R7B4/eX gZq3755e5RhQaLWiyScY8OOEypFivjFIIXjv4hv7DdkEueuFNSOQkBcu6S++ Am8nqIeDUkYg1jp1bfLgCtzfo1LT5zsCEa8aa6rfrsDFgrFo0BoBn/0KZwJ8 VkEvxnL23IthsAxo8Z7hXQMvGuO53/MhOKIwbm1ltAbbzMYJYkFDYF6/akS9 vgb624wTxUlDYCShzPmiYw3UQzkGLFSHQP3DrTjrlL/AsUndwPjTILB4i/WS JJkwQIGTFPJlAKztsto+6TBh1fc8h7G4Acg9BHWE40z44UyqMMN+AOxlXfI/ hDChQ31OlNpqP1TWFkex/drwuxJ8LhH74a40yTS9iRnfzJgNJZf3Qi/7b0PG FDMenAzaVhnTCzrzD3dasLPg1qdr7q4uvTBaXSD7y5AFd7GqNKBoL+y/yrti QmZBCuO3IOVaD7BV5L4ducuKT2I0/Zz3dIPNa7OXeimsyGOifb5fvBs+POlN DP/MigWiL/0KF7uA5MoRSlxgxYRao9Gn2V1QI2LtcPcCGz6S+KezRb4LQpyY JRT02bFuLJo8LPsNOAnH79jPcWBBTBz78MlOOKdsXa7LzYmdKWP0Qf1OyNpH WudR5MTybnudzVs74aivz608K04c6os4tf97B8SOP/dlq+FEJSlLQ9OwDlCq WHDPSOTCmzzejo5NNPDpXc3xy+dCvUT+waYCGtQvs88fbeVCfyqvtksqDa5q Sl1d5uBGvjdLQ9u9aJCfuM/V3IMbg3kKh8e30MDUO9p+2pwHKRwn3BL82iH2 8bPUUgce7EsLojY6tcNkdubgf4E8aHBU0Ej5ZDtEjBRdMPzAg9+C8+MtNdqB dnzUOmKjF7xy+Ay9N3qCpL7rpCadF0fOqDpHHWuDu4OdJh4v+PBG7L44mwOt 0F94+IpPMR++141ga9drBYPo8tjADj70uL5Ku6jaCvOmWVNhnPzY6ub2mkpo hQuvb0W+uMyPpI9O797QWsDAW7GHRhRApfor4e+dW+A3u36htL0gJl0xibLF ZsjwWPySfFUQRR6bUaJVmuHUwJthOX9B7JJul5kVbIacT/IElRhBDIgwn+Yc bgKnywRbHYogvucNMxy51wS0lgG2I2pCmOqZ1zbW/gVyEkOOB/4UwruJZPUd 9xuhQSRkQoBJGJPzglfeuDfCePi9wFQ+YTSzyt98xKYRNgcEZ1erCKNl1n79 Ge1GeGATxMVrK4xs6kuiKf0NYCcTWB7XIIwc1FS2rL0NIJjipfU+XQSPcBum PBWsB3VxL+q+XBFspfWOv/hbBwcib1yglYkg43NLN3W2DgL+9YxY7hbB40+t 1s7V1cGkrfvkXiFRJO14UJlwtw7Kt155Xn9LFKNM3V95/KmFa2kkwdEzYph5 1eIR/KXCI9/4pEcOYuhvvkrkmafC2+NNKvrXxdDCPO/F2BAV5v7qGT8KFcMU h0rXphoquP3D67G7WAw7Twu5kB5RwVU0tz1CbhO6U0IfhcpTwSlkPXbX7CYc Oy/qz3SGAiHndRQGGZtwi3t28buDFMjQcXkXxi6Owrbe4W57KTA23EYd2CKO GRdCb/JvowAJMhihJ8TR92u64sKvGrBnWFj354vj2oVfJrJxNXDBNUHm/h0J TIrhk40erYbVLu6mhYcSmCHh5c7SXQ1PD/oG2iRI4C+54SsBzdXQqnJuQDtP AufEfBSjPlfD/gmx1N5RCWRONfui87gaVEmPFXeaS6KOnGK8I1bDr/MP1Pv4 pfBI7Lzv+ssqCD3hrU9MkkbX5D6hveGV8F+jmls2WRql1kOHdIIqIclsIHlb gTR2Rpj77vKthJy95mwSbdJY4br45filSvimKtX8h3MzagRuzZ4zqQQVllIS xXMz2tGWwor/VgAllz3K6rAM6mfHTRzzqwA20Sfj/65swTaDsQqB++UgPBfI L8wpi3oTmx+cv10OcrXOuukishgeqFmY41sORgF7Qmo1ZDEq85XxJbdy8B0d 2SZkK4vueTW6opblMPdhp2NalSzujcxQdd5SDrNqk+72B7ZiNil1LNGrDL42 3JsPFpDDGC+bqE8spRBj9Mz09CY5/LKNj15OLwHL9x8StsnIYbThvpG26RJo ih3ZT1GTQ4ZVp5JIewlQLhrHcx6QwztHuyXY0ksgf/mPcVjABnc2Fkk2K4FY hRvRkVNyKFw4oODypBhO+9vrJlTJ4w1N7pcmB4sg9pkox3KdPKa3F+hwYBF0 llE6TrbIY8fh42zNukVwhk3di69vg7MsHvRULIJzDxfzbtM39M/aMnamIrBO Cda+pKqA4ZFmyxafPoNdVYaGTqQC6knuMTXc/hnceGfkm6wV8eQXGSFH5UKQ fU2J5Zjehku1z5OUzxeA/yeTkwKJynhvhT/wUc5HuJ7hlq+7QxX3xRdbB5z6 AAQWPXvNMTU00GV4X+HOA9Mrp56oRWtgUG5ayfL0e5AolLlmqqiJubrHg+// yYH/PB481vq6AwXqb/ffEc0By5Bj25/layE3v4KeTdpbUPsn+HT6LW3kyLw6 WGP6BjrHudOiT+/EatOzXSzfX0OT/ZixsCwRCQ9mloopWTDElsl4Ik/Ee45U emtFFvzKcH4nqUTE6VVqzWRxFkjOzGyW277xv2BUL52XBSTPn8s7DIkY9P3i ibiULFi5u/7myFkiHjCh3BrxyQKll5JSoZEbXFwruU4jC/TNeloI0US0O1sY vEklCyymku5HxRLxHd+qlKNCFrhv37oU94yIYZmcJzmlsqD4o1JLxmsiVttw fbPlzAJLCjGkmkrEa5bfrtgNk8HReWmPeQMRnTbdHKX2kcGHp2CxoYmIXM/j /mh1keHZUYOL7R1EPHJ0nI+rhQyTnbhneISIhW6xSXUlZFjxYVl0nCBi1AVp TqNCMvBJV5Onpoko/mAf4cMHMuy0NRNfWCDi7t0iI+mvyWDKzN10Y4mIPBKE PNlMMpx7UR/MYBBxedBUKimNDK6mEYYBf4gYUDQlLpVMhlsTR36urxNR6pLc 6/h4MvwP21yvxA== "]], LineBox[{{-0.00656333058591815, -20.}, {-0.005444855099079972, 20.}}]}, InterpretationBox["\"y = \\!\\(TraditionalForm\\`1\\/x\\)\"", StringForm["`1` = `2`", "y", $CellContext`x^(-1)], Editable -> False]], Annotation[#, StringForm["`1` = `2`", "y", $CellContext`x^(-1)], "Tooltip"]& ]}, {{}, {}, TagBox[ TooltipBox[ {RGBColor[0, NCache[ Rational[2, 3], 0.6666666666666666], 0], Thickness[Medium], LineBox[CompressedData[" 1:eJwtl3c01w/cxb98kVBZmclMCRmh7f2xKtEQEZKy0i9RdmiSkZaMSJmVCIWi FO+PnZmV7L0JX75mxtPznOeec8/94/51/3mdc8WtnE7bMlIolNZ//t98Zdhj pJrNTFL+Tyqkm4XQ/kR2ZrKirmcmQUWZzLVxdHwwzUTuS29frJlRIlevFCZc b2Eif0wpvgrPUiL9vf5jJ5KYSOWhP02TKkpk5PPc9nZNJvKqwUxDkboimVtn dpvPi0oa5M58e9IuR642p2etXKCSpXSm8kdX5UjNbsbh/iNUMnqabSR5TZas nEg5lbWZSiplM0eqbZcl29n/ip/KYCQvV8vI3fCVIdd0oouDhhnIcCyjWDpJ k9rHJxeu/WQgLf/whD7lkiYDjbTkz2YzkPG/IjjLP20jOa3HwqX9/vWGBlTd VSlS4s6BS0WiDOQ+Vw7Nc68kSe3ctvUrxhSyoEZtIZhNnExPebOv7ACFtBPU p899FiMFop0uh4hRSOmi1ERvKzGyaZ7lmV7jGnKeUfIIvylKbvM25ny1tIq8 G+WMI1lFyMK7sxzEkRXkq2UouHlPgIywCnJo5FxBAd4wj59L/ORlLZEq+9Zl ZKmkPBF04yc5mXWCQ64uY9etpa2BTnykZWDY+r7Qv/jNy/bGJW9ecvnxbhb/ 7kVUf1NdRh/jJGudymyFUhYxrI+xh+seJ5l4yrwk3WURn+oanxkX5CSPcfv6 /WZZxIsztcLhrzaSUeH1jDLyC/i6+uJIUBQ76eBuZ5U3N4/GedH7KrvZSMJk qcCAnEfejDP79WXZyGEBibtehvPIfvtKxWQ5K6n28vpa5Y05vJDGHjIhx0Ky 3WS2vKA1h2OflevOP2ImOyyi8ukcc6jmIfK9YYqJ9BMtuCkSN4vuq5ab0kkq 2ZDAuexYSsctAv78xr4M5LXkDwtcPDP40NNHeFX4LypudPTV7J7G3c4SqlE6 S0hzltvokjaNIkPuHin/djkfTJZsPDKNThZnHNba59HtZ8KJCB8aXtyzqV6i j45qKhdbSnVpaFh6cnyrAh3nIkVt5vloyMQSKqx0ewY9rF7eOJsxhdcy9T5c kp3GmVFZXdWqSXSYPVv9wnYSXT+9Ox9hN4nMEad/GB6cwLmb21znKZMoQ10q 8RT6gwucorFfVSfwkefbz2/HR3FZjXv2UOw4OhwuaqcNDOJNyhO22H3jOFjg af3f7ACulrOLURrHcMrVr+Qx+wAyWDDrFbKO4Z6c6XXeen3I4rsQd9h5BAUk PZcJ/m4M0HfLTuIYQSLR9N1kZiey8k1XsiYNo5cOiSpaHciWPDZX0TaETsXy a37+rRjsbM8h5z6EaU2BPIr7WpDj4ID4I84hFIgKsp+e+42bfnbqn9QZxIAo qbTlZ7/waaS51ceuAVy3gSeo/1ojcls1e3B5DSBGn7wladqAvLN1CQ3p/Vjh Zv5o8EgdCgiXLJgI9KEAT6bRHeVKjOrX2Pg1sxffBLz1gqByFErPlxQ63osZ nc2qqbQyFNH4cqL9bg8eZzsqsnGuGGPYVG0ObenBHl15Ca2QIhRtzLgRk92N yxrxV98cLEStGmPdgqYuzLDm4OnzQzx88ZSrL3sXHpABW7W9eXiUrhurQ3Ti CLtSUh/rN9QXOjRbntyOVY0z5/TWsvFEmprYw842ZA/ZfO++5Gc0IBT1TvC0 YQBf5KKAVRYa20nG1/u0oLbMRU092Y/44LpL4LPPzaim5HtFwCMN83yKnE5P /EZXk59i94pTcCqAx4R7+298ONUeePnQO5QKtVavt2zC4u29ATbdb/BsTNa2 Z5G/8NyOzYzrUxMxOJm64XRdI4aLpLaNx8TjNCa21Wk24DrpPO+wkWiUrpwp DPGux7sNVSJdyZFo2qSVYvCpDs2Lz8SZpIXjw57QEK4/tShxsrhShvYMyfE+ z7pttWhZ4Wd/1/kpDk9eIiXyalBBcN0tXouHeJKF9UnCrmqMazZV6NYOxOwt 7ywk4ipx251Wt7wIP9y6+6hcAlcFVn+/2Es9fhfv6w4vifv+wKMeT9n5in1w 3DKwPJ5eii6G1T1GcR5o6L4jUtyuBPfay152kXTB3Ic/7OJ/F6GT6Bd/DT9H FE+0VxXXLUTBo+JSAr2XMPArK1N8LonvVul/fuhaYWeswRuNs/mYMSF70kbX HNOqQjQ1DnzDqqrqHTZfDNF7sa6L2PoFJSg7u6Lt9FBXmvsmwfAZ//Q8Mvou qIn8hqeFiP4MrBF9fUvHUg0r16Scbj9Ow/4rzJ/E9sigvemb5FtGSWgbp2Iq Xy2ATFnb+m8KxWMl+cNVO5iKhKD+oaV/9Kct+KGWcH/+VGSUDS3qHtrSaPwg lZzvwxhWcnjvZTgaGetqb2SpvuuFdRmv2hNwsak6sCGjWr1TMGOCfdNLELv7 dyX+2ay64e7m7/4ar4F3P7fwowOckN1ici/AOwUi6WLDapISsIEckyw2+whh LWkPL/ApAYS+9y/2yIIAtgA3ov4gXLe7MlIclg3JqkVBUjcPQ8I+Wf2SjK9w P2KAu/fpKWjkGEsvqfkOWsffUYrOmgBLdwpX6RjCc2ObAM8iS3hpqrrf2q8A WLbt5JRcswFVrfArfdxF8NzSNGGP8BWokZt9aR1fDBdDHduOS1+HS3xnavoU SmG7tcz9BSM3oFA+r1nnlwGl5H3quJQXRI3wKvXrl8PP89qK3vG3QbnB1cqm rQIOjIl5LI3eg8rvjaH9l6vgj/0Nq192/mDzVqXEZqEarv49XT6n+wBWnoTN 9fv/hLTZRqF1Lx5D5cGl0MwHtXDyDI+1SXoIRCqlpE4b1MHL7D0ilXphYCNt VqIsWA8KR6/MKO94DorCbJ3O3fVwP0tDxPrwC1jZlDuXmdQAggkn6hWSX0EF 03+bZhwbIaOT+012chxELAru2K32C66YyHfOJyaA1UQ54bLyC2afEB9Lil/D rr4bplnFTcBpwbfnwYYkKKtqebDbsBmG1inVx25JBXvP1jJz2RaIMRWPOSf1 AVil2pj8qK2g9SHdbl4xA5J/tmmktrWCwuq06bOxTDjm3X6rMasNnDg6Tw8W foJR6Y5vy8Ht0KF/zbs1JxuC6zsWpGw6wEQ5ZeVM5ReokulyduPtgs4cvpzb Bnng8Kvrw6vxLkg4dExzuQTBn7g2Z2XVDbSo0EsndhXA9vFru4P390ByzOSx mcUiWNCgGcS+7YGt0R1cCt4l8OP59WtZ3L1wXzVeXm9TGdhrOae1jfYCTSYl Z/p6BeyNmq6cNO6D+rnJk7YaVcA66TxKLeoD6yMcIf7baiD5hct2ueh+eJfa /7GOrw68pmZ0iHUDUHL48wYtmXo4dtjVxshlAELDacPThxtglOYa76M3CDuK 07RnX/+C3COz+DRnECw65M2+DTTBg1duna8lh0Biq5BAknIzyOq6C1f/HQL1 oD05TbRWcIjz+Ie6EWgK0zai3++Gg3PzWUoCo/C5LpuH36wHOPQ963X8RmFf uGXdbtVeSJv33OR4bgxiRozaayj9MHHCKyif4w80m9ZqfZoagvzXS0n1nn+g w2JhXe3aMDxe8iod7P8DtuYm9Cq+UVB4603dlDcBtj65rR3nxuHLrfz8D2pT sNk12FPz7RTEJa9Wf3WYApFty34jJ2gQ2KjeUZQwBUYPA3Ppf2lwdif+/b2R BtQXrleuW8/A4i/cSxmigbO3kGPk5TnopVCOsolMw8zbEf1ZtXmokCVMeA2n YUNh44jM+gV4cZd024HTUNt3a4fR90XYL1+Qeer5DDyISdTUsFwB1camiPzy GSjqqes8p70Kit7jXnLLM9CQbTvBs2sNpMv5tVgv0gFV3T4UBFAIHlvHBtw5 C+tlfko232ckNnL45chbzMLjb8/FPNmpBFtWVHT0k1mgOkBNWCiVoDCUWHvQ Z0HFoDDH/D0TMf5SmL4rfw70jTOkihdZiCEtpeaXU3NQyfB4/UToOqJ39PB3 Nsl52C/mHlGkyEq07HX2GwyYh6vdq5JBzuuJ0sYfvDEGC5D4fIOTBD8HEcvh rrphYBEqIpbtmumcxIusYEFv/iWIZQj9nXKWi4gwi18Z1l2CSS9zHsZ8LuLh u6qS4vQlOJh+POXYI27CU1vS2MfzL5inavtHqPMSp31q3cfYV6AmdcQrZYKf OC45aGaqvgJtPlfbZRwEiKMVf9XLrq2A7ceTFIsxAUJdYPu6xF8roGCypD86 IUjIfrr53Cx2Fez2uu+cYdtCMLpvbrcRpBA5HvvzkvTFCLMLKfVfVChE6JF7 PapxYkTmMSjnOEUhZu8ofeiiixFWopezP/lTiJiDouSjeHGi8Mf3p0x0ChEm n7Q+kFWS8BW20Xldw0C0vO0rfb5RmmhnXjywMMJA7LzDlUu6ShMqU4+U9ZkZ CUU620HJdmmivzhHlH6Akfj65avty/TthLYj+5JWMiNRud49PtRKhmAqyEzv 86US6T79OntZ5Ylz74+82RNLJUKcD5xvvSdPfApvjw7OpRJWKoWjDavyhM1/ LEG7aVSCZ8eXlsalXUQJj5m173kmYuyZmWL8XUXC345BQHIfM1G4ec/JnPfK RFU/f+/+j8zE//8x4n8AYMrvXQ== "]]}, InterpretationBox["\"y = \\!\\(TraditionalForm\\`x\\^3\\)\"", StringForm["`1` = `2`", "y", $CellContext`x^3], Editable -> False]], Annotation[#, StringForm["`1` = `2`", "y", $CellContext`x^3], "Tooltip"]& ]}, {{}, {}, TagBox[ TooltipBox[ {RGBColor[ NCache[ Rational[2, 3], 0.6666666666666666], 0, 0], Thickness[Medium], LineBox[CompressedData[" 1:eJxTTMoPSmViYGAwAWIQXfvc99P//8YHGMDggf2UkgTvhtkI/mrG4iUM5gg+ a6q7kWSsEZwvfONozqKJhnB+0OFZyZqnDOD86ve2ORMe68P5O8pnZa3314Pz /SaFKvybqQPnu8/d6+fxRgvOX3a88lpxtCacH9cyRfT8CnU4vy6BeR23sBqc z6Arv9+5VQXOv9U9s331VSU4X4YrY+UXJ0U4P9tUi/W2jDycn2x+b8Xhw9Jw vlaF1f+8JRJw/sK7wUcqHUXh/OeNojbuEkJw/q6pGq4vwnjhfIOXN7/oz2WD 81123eb8G8YA5xesXP9DUPjzfhg/LE154aWam3D+8TM3u4yDb9jD+Fa6BzcF TP8M5zOVid5JkWRwgPHZeQIak96xwfnND645Fy3mhfM3zG4LqPskCOfnL0oR eBImCufHZc2SbW+UgPM7A8ssjedIw/ksIlOf1f+Sg/Ovn2790MKvCOeHVieZ zTqsBOfncL9WOhelAufLrz42je2VKpxfvcM5mH+2OpxfsCxnm5m+JpzPw2Se pPdUC853zQ2ZqjVZB86X2Cmb76qiB+dPKuqYaHBdH84PavPXnbvNAM7Xim4J XVJrCOdfe8a5aHKoEZx/Lumpo5C8MZyvtlRSqrMfwYfmFzgfAG5n9A4= "]]}, InterpretationBox["\"y = \\!\\(TraditionalForm\\`1\\/2\\)\"", StringForm["`1` = `2`", "y", Rational[1, 2]], Editable -> False]], Annotation[#, StringForm["`1` = `2`", "y", Rational[1, 2]], "Tooltip"]& ]}, GraphicsComplexBox[CompressedData[" 1:eJxF1A0w1Hkcx3El5SGlOYy6XG2P16XL0E1q5dMl5MbJ05UaRQlRHrpL0TEx ic5ceTjSg1xEOQ85T1tHEV1t0cT0RFF2sct/n36qU9nQrRtftzM7/3l/d/b3 3d3/zou3O9wjYLKWlla85jl2xWdxV0YDODxPc5iipSVCg6Sv9askDrm3C1Zr Q4Q550Xf8Yo5zJ06zd4wQYRuo5fF1Q84PPhgV2R9RwTplV37c5Wa17mzvtd1 xGjgHY7dOkuGGw3MKtxFDAOf1MhiKxkehxbmmqeIYRG9tu7+FhlMXuwS8trF SL62PxBHZCjfHi/OmN+NrYK8QY/zMrwW7dv0fE83PmYFP7Wsl+GcUHjrYlk3 ZqxdlV0ikuF80uDSJe+6sWMksfHoJDlkM22a3vJ7cOxSyBrzxXI8jhK7HzjR AzN9jyxvRzmEcy5FJ7b2IMGzyWFniBx5jtFBEfN6saKuybP2pBwXkl1LK0N7 4cA93CS4KkeHjUFp4LVerHrvf+rnR3K0wt/fXFeC9DvDNa/eyrHE6GzBSi8J hIeW2Ew3U8B0m+DUvisS2Di3G6fxFTC4t2PO4JAEZp0n2yt9FLCP+t643EmK FvcniotxCgS1a6vvZksxmPRF//I8BcrVD+PVCim8uwY2zLitgO0RX1MP2z6k z/ZS1UgV0Ikrt7f+rQ9849o4HV0lun6RT9WT9KH2dYX/HAslZtX/dC7Frh+H B6wuJ25WQj85bL1LVj/yygQtqRFK1LemCx/J+pHv3uwckKFEaGDMEN+Rg0lV T1FbtRIxuokR27I53F6dsC/3mRJlgpS/419zcMqpjvlGrQRnu0p901UG/h3Z waDPVVhUkvrq2GUZprb8edMfKlS88Z2fOFWO9WePKEf8VHB+79/20U8OQcKD GBavwjoZrzqsRg5tzzKf4gIVQhdnHnSbq0C9OHOhjlCF2d5e4ugoBTw8DfnL 5CqMTrl1g/9SAZ50ekX+DIYa/eYSw2+V8FtjZFS3kmGdtODeUI4SkeH5dbme DGss600qdVRQB9h6LYxkiOpIOh4eqEJtrI/zcCZD3EE3teFdFTyjDFN+/4uh UPxPaenXDNutG2tFLxjMs09bLUxjGN1+c+TTJwa1kc3Q2DVu2PpGxiHN/7vD 0ix0nggWwnqfCCWDXPKDz4F7DKJpL8qdwzgsvx8ZVj5TBPuR9b9+2cvA3xXM byxhMEmzW3H9HYNigcE5S8081bDUYlEIh8nNuQfapongemZSfkIXw0aBU9VA DsN8i08bjd8wPIl1ee/6jEH/XayJz0cGp6qlDqaa+d5U05BZezlwewyC5doi PJGIy6xeMuhGNv2od4bhcnSXWyNjsDglLvRt0eyz38nTH2LguSWoFsgZEgov 6F0d0ewz0M0Zmz9xb9bVDeLQY7cyb3CSCFnTH1XrdTI4Jp2wOp3BEHyxZctZ FUPnsN/u/mYGjxDXpeL3DHtytPP/6NN8rpaTM48PM5SabHZPHWRoiC/Vbhtl SFZ4LR+bJ1cs9j4WyGHYeu5DtcaXD/OabCI7GJ4Kjhd1pjM0VQqfT9Gcn9Ln 0mbRxFAV61jkojl/29F3pkqJ5j51H08f0Hx/busy+8dvGRZkFiRu0Jz/of18 p1DN4BdWHbdPc5+kqdbJY3PyTOu/x/+eUZNn1OQZNXk28f5xz6jJM2ryjJo8 oybPqMkzavKMmjyjJs+oyTNq8oyaPKMmz6jJM2ryjJo8oybPJvaPe0ZNnlGT Z9Tk2cS+cc+oyTNq8oyaPKMmz6jJM2ryjJo8oybPJvaPe0ZNnlGTZ9TkGTV5 Rk2eUZNn1OQZNXlGTZ5Rk2cTv8+4Z9TkGTV5Rk2eUZNn1OQZ9b+aqasO "], {{{}, {}, {}, {}, {}, {}, {}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{78, 128, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 129, 127, 50, 77, 70, 76, 64, 69, 75, 59, 63, 68, 74, 55, 58, 62, 67, 73, 52, 54, 57, 61, 66, 72, 49, 48, 47, 46, 45, 44, 43, 42, 41, 40, 39, 38, 37, 36, 35, 34, 33, 32, 31, 30, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 51, 53, 56, 60, 65, 71, 1}}]]}, {}, {}}, {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[{1, 71, 65, 60, 56, 53, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 72, 66, 61, 57, 54, 52, 73, 67, 62, 58, 55, 74, 68, 63, 59, 75, 69, 64, 76, 70, 77, 50}]}, {Hue[0.9060679774997897, 0.6, 0.6], LineBox[{78, 128, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 129, 127}]}}}], GraphicsComplexBox[CompressedData[" 1:eJw91As0lGkcx/FBU2hKq4ZU1hJlu7htNk21P0mq3S6ydVzWESpl00Vqs6WL UBZhdduK1GYTZW32KLVSVHSRdNRKK73DGDNuMwzDDOPd2T3+3nPe857vOc95 zvOc/3k/lsG7vLbocjicaO3733fe7gNcDkeOdIuxvSwrg1XlJesQTznanO7Z rgqW4YXhobiUbDlel4ef55V0QmUkEnT3y9GQqdr366xOTGxO/qp4RRf090mX BWZ2QJKuiFmZ2QUXq7VBjeM64DZVaD5B3oW5cdcKeYnt8I6KV51f3g3Hee/D /HXb4ZsXMT0xoxtTik+IedFtYLJarhR2dOOVnvvdVF4brI7wg6+6K+B0Wrk+ Pq0VUovKH56fUeDtm7jwHdatSE8tr/NpViBNKO0U/SWFoejA4dyFPSgPM9g/ dY0UGs2d/c5JPSh47pnW2irBDfXvBTFNPXAOC0x4ckwCjwrpwgULemEi6zj8 zEKCLX55ZrY/9SLJINsO5S1wrZ614P3HXrz10ffkbmtBJs8x74mDEo+6e+pz jVtwb3ZX8N54JQRVdd82FolROqU3JKFBiZRlZ438Nomxujr6QZ1dH7w2Hrzx gi/G6W1Pfdvj+pCptC8a+7gZgRXnVrjU9qEhbrxJzY/NmKzMjWub0Y/kmz6X epyakTgmclTwoX7E/jZ/4zSJCDEfX9Z+UtWP7ISa0ilZIsy/8KE91kaFIz9n PvXyF6HW2tFz40EVnui/SrprKsLgvnH6ES9UMA0Rbvata0J9zlWdr63UWPwy smjzuSYsySpb6xehRs7KErnvd01I22nT/rpMjaGay4oGyyZcmur2nGc2AKed /0zWiBphn9IyeDR0AMcjp12Pz2vEwWaP8KKHA7C1qzb7e08jVunaCz43HkSQ 6X09z8WNMJT5rdMJHoT56IjbHMNGxJS45qYXDeKmYnLoxRohotfne4cbaJB1 PS9t4IoQgpe1HgZBGtRbps8M3SHER757rP4dDVYFGCepBEIY2CwwWTJmCNPL tp/t4gnRaSKRLgoYQvI7F4Op9Qx8XlkY78kfQqL6fkZUPoN874vx49khrE2d WHAllkFpWbXrzg0sKsNfWpp5a9f3JK8ec43F5FTXRVFzGVSmxKlZlsUUl/va 34PB7Es8/he2cnjrhX4M+kMGYzfDLL0aFkKjFFWGCQOHE0tPmk2S4/Ku7TPY WhmcL1ZGxhWzqHDcwOFaMZBJlr+KlrJA6XXu8rEMCgYCnvEM5ch7sJmraJOh vGLuJo9bLJr5h8+UzGRwlJ9z162BxZxDgUfkExgEFItFD3tYnBTYxV/hMlAU hm0dzZUj4bi9j7JXBqOAgHfXbrAYVR4iTp/F4NmNOrur71iI+TbF5RMZXPMy 9bOUsahxzq6I0GfAn3F7V6CaxYP4Ox7VugwmnYr4MkZXjqWRg/5qtQzzcpTG tddZWNfe3M2bw6BTGR5a85bFY3GxwInP4HlG/ul17Sy2Rld5fDBgIAhfk5va x8JRda/CZRQD+XtzZwcNCwv7idxtOgyydPoylujIkXM7RRml0d63ys1hVzYL F8k3ax5r9z86reT49jcs+jPNjSXa/f0fDdyStrLY6+z+aZqhdh5nL1TYKrX3 OcX9rEO7/zHO915PB1hExarNp2nPH1D42vSXIRZee9iBP7XzIs84/z/MiGfU 5Bk1eUZNnlGTZ9TkGTV5Rk2eUZNnI+cZ9oyaPKMmz6jJM2ryjJo8oybPqMkz avKMmjyjJs+oyTNq8oyaPKMmz6jJM2ryjJo8oybPqMkzavKMmjyjJs+oyTNq 8oyaPKMmz6jJs5F5DHs2cv5hz6jJM2ryjJo8oybPqMkzavKMmjwbmc+wZyPr hz2jJs+oyTNq8oz6X7qYkJc= "], {{{}, {}, {}, {}, {}, {}, {}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{78, 128, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 129, 127, 50, 77, 70, 76, 64, 69, 75, 59, 63, 68, 74, 55, 58, 62, 67, 73, 52, 54, 57, 61, 66, 72, 49, 48, 47, 46, 45, 44, 43, 42, 41, 40, 39, 38, 37, 36, 35, 34, 33, 32, 31, 30, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 51, 53, 56, 60, 65, 71, 1}}]]}, {}, {}}, {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[{1, 71, 65, 60, 56, 53, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 72, 66, 61, 57, 54, 52, 73, 67, 62, 58, 55, 74, 68, 63, 59, 75, 69, 64, 76, 70, 77, 50}]}, {Hue[0.9060679774997897, 0.6, 0.6], LineBox[{78, 128, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 129, 127}]}}}]}, AspectRatio->Automatic, Axes->True, AxesOrigin->{0, 0}, GridLines->FrontEndValueCache[ analyse`grids, {{-2., -1., 0., 1., 2., 3., 4.}, {-2., -1., 0., 1., 2.}}], GridLinesStyle->Directive[ GrayLevel[0.85], Dashing[{0, Small}]], PlotRange->{{-2, 4}, {-2, 2}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Automatic}, Ticks->FrontEndValueCache[analyse`ticks, {{{-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm]}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}, {4., FormBox["4", TraditionalForm]}}, {{-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm]}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}}}]], TraditionalForm]], "Output", CellChangeTimes->{{3.453603963514336*^9, 3.453603991778714*^9}}] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Calculer l'aire de la figure limit\[EAcute]e par la courbe ", Cell[BoxData[ FormBox[ RowBox[{"y", "=", SuperscriptBox["x", "3"]}], TraditionalForm]]], ", l'axe des abscisses et les droites ", Cell[BoxData[ FormBox[ RowBox[{"x", " ", "=", " ", RowBox[{"-", "1"}]}], TraditionalForm]], FormatType->"TraditionalForm"], " et ", Cell[BoxData[ FormBox[ RowBox[{"x", " ", "=", " ", "2"}], TraditionalForm]], FormatType->"TraditionalForm"] }], "Titre2", CellChangeTimes->{{3.416482364942295*^9, 3.4164823986375504`*^9}, { 3.416482533637314*^9, 3.416482563327402*^9}, {3.416494316596678*^9, 3.4164943482758617`*^9}, {3.4536041568666897`*^9, 3.453604166435301*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"i", "=", RowBox[{"Integrale", "[", RowBox[{ RowBox[{"x", "^", "3"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "1"}], ",", "2"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Graphe", "[", RowBox[{"i", ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "9"}], "}"}]}], "}"}]}]}], "]"}], "\[IndentingNewLine]", RowBox[{"Presente", "[", RowBox[{ RowBox[{"Integrale", "[", RowBox[{ RowBox[{"-", RowBox[{"x", "^", "3"}]}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "1"}], ",", "0"}], "}"}]}], "]"}], "+", RowBox[{"Integrale", "[", RowBox[{ RowBox[{"x", "^", "3"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "2"}], "}"}]}], "]"}]}], "]"}]}], "Input", CellChangeTimes->{{3.4164943598080797`*^9, 3.4164944409454613`*^9}, { 3.416494475211783*^9, 3.416494507741542*^9}, {3.416716018775642*^9, 3.416716025264532*^9}}], Cell[BoxData[ FormBox[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJw1mXc4Fv73/0kZkYyQlVEkSWQ01H1uMspIZsJbWYUiRSkpq1D23qKsrBAy 72NlZbuNkE1EVpIQP9/r+n1e/5zr/Pl8/fE4j3MdAbN72pa7KCgoOikpKP6v fjYRGN7eXsBCHov4/6vSp1WOxPLOY8OHBKn/sn4gEZmH37LMoUfesbgfMZN4 MjEtQVv0B8rqzxgaPh/FsKRUnwi1afS8+6RdYdcgRmirTisrTiHbGYYHm4Hd 6Gxcov7mxgROAY2fzot23GBrEbbQHsMQ1tUCR+oGXF64fLziygiq05y427hY iZFKR6xdBgZR6urp4RKnT+i5d+vWtYY+vDSs629fmo0y7nZ2HutkTN2bUKFD +xa7zuQ1dUMH8v9L7rzJEIZ6b5yP7LZqQkGrycTzG+4YJFFZt9lfjae+f4uL PWmDTykkXa9cK8TasFe6DRsKyB2QwcTKFo5e7gwuxzXGSDkTlEl0995B0+8Z sm8mA2jS0xT/WCuBOqP7WZvcWhAtHn3eJ6QW1l8+eWlEeR84OOOUZ5qagZXy hJCppjcMEZ91udh1AvXF0/4pD6Pgbg3buvSpHshwLT2SbpQClVMWMgdU+sGB MvmcSnEeaBrw3n7HPgQVBqoL36JL4UktpeDLmRGoFvU3U5ishhMn2rnUF8eA 7zpnS4NPE2yd72K8Q54AG+/bn76kdsCpeEl/3tEpmPdMvaNk0QuLg8KjchPT oDjKwqjANwTNNVcl8mt/QPH+O3/EysaAfqObrrxlDhZuC8td0P8Ot78GDvEW zMO15gTLI4pzkKpmX/vw0iJEm2gFw7dF+KJdZyKstgSUDmGe81Ir4JpdtOpx fhnqC62oGnP/gEUuWeeYwi/QL9g/+WlqA/qo/XOeyq5AjafuX0YBCiJzC9MK lfBvIEvef2j7ZBfRRa56q/vYKvCZ+O3zvriH+PDfPhpdnj9Qe0KgrpSblph4 25vMfXgNNIdORh13oicGyTf7cQr9hd7BHNaj+/YTGe9lKux8KRAaEzsv6DET SYrFFUVcGyB9VE2T+gEr8Z/tDVl9xk1wcBGd2ApiI1LSdEYf/7cJCaI3B1Sa OIiylx5Uq1JsgXpAAv9nEy7i+mDWNNvyFrgfTK9KXuQhLnCykUXXtqGPUua8 1zQf0fxD0ML29jYoMOa3bm/zETdVC9xbGBdQ52Mmhbv8T2Rzflw8r/IdQ8SD o06l9KFPrzvXL61JHOYoP+v2sxPPna0pobw+jk50mZuPVZtx1YP+fdDVUZyN fbk+r1yLJJbBG0/Lh5Cnil1Kyagc94kwT8909GOxVOny3558HFQq+nF3tAcj 18wGz1im4e5vgTxivF14ee8x56MqsfjcZ36w16EVPfTaAlnDfHH5dvxDt6Q6 tLijlaP47hG25hpQJ3tVYAxxhn/v4eu4K9noYmhcBm4Yyhfevy2I8nLXJSka 3WEses/F9L8phK6ti7Wn+/Igh786jnhKFvgNrzQ/r68EH6U9FdyOZtD3Lqaq OKcBdssZSMWbPIPCVMuyNet26BTZ/iujHAxCHo1TBlfJoEnr0XfpRiKw61VE Jp/vg3RHduP81kzw4ZNvHRAfBMcs35t6g4WQaB/U3bMyDCdFBsWChhC61qwS pudGwaBciKLdtQ7YCzvCjMbGYdgio6u/sBUO2u66Uts/CaLlKbu5zcnAfEHs U9bYd+iV3JfuGt8P7yc6Tdk2t6HmqG+4/AofcYRsk3vLewFnnz0ac4udR7J/ YGJ143eMN7tl7K/aj/vZblHyfpnEmk9Hcu6cJmO/KsHz6uA4RnxYExuPbsXH 6nO3nTtG0SrndeVhzjrU+nt6YD1rGK+cnXvtSIfYWRQj8rFnABkOXxD5wFyI EiL9ImPkXgysy+Nyu5eBPCddlXrpyejDmLWW5PQGXxHCBkfOt6OLuMeCcUkQ JlMxaFS/aMDvXPL87Y0u6KK4anG0rRKV6OpW7/ibIcH6HlOzdh7WJdm51F+R xt8jGwtCpo/xdO2jM+wafiTRpdqw8sBMEOO8FHXswRFoGNYSWampgKTf3b3T ldfhzAyna2JiHZz8qpmbnPgIiB8/mti2tUJ628td3YF+4GF6+JvNjS64drvK I+lWHMj7zTTcPd0LJUWZ6z/s0+EIVRfl2rkBMK1v3fP500d4PKF/qGLPMDwp YJCcPVoBqSYyI7J3RoEmWSedL6UWBJfae3Wsx+Hgs/4UjZBmoO+2yYm8NgkM +O2d72YnCP4UF5w0/Q5kS79bu9b6QH37Fxf/+jbIJcz6mc/zER1LRH+kto3g CQ8vYAmsRlExt4mNL99wHzHmXl13CV6K9k7jb/mKrjHaGrvrctHHPCTrz89u bLV6o0AdnYxzrxN/uYl3ottnOm0j50j8EVpAMW/bjONPCXvN7b1Qvlk8gUCq RREnlffpdvcxua9W4a9dCYasdPBsMV1Fn4d9lgGhb5Esvm5ptpcOn0sZZF8e jYQpWWa2b1E/CMwvhQjB04Ww/J0+vPOVIhjXOrygyq6GxYHv3mP3reGxCffu jvImyM3VvZSW4QFNDvfrz93tAHXlD//K0sOg4e29RWX5bmAfPU2Qq3oLs7zB twblv8L3qFUZ8ccfYE7uQwwKfoN+red6ikeLgbopL33v1jbYjx7S51/nI3Zy 1ql8rFlAXoeHY7bqC1jAERuWtXcawwffP2M/MoCdUn0reTRT+IfLSLN/lIwZ XRvf//BOYGtj86p6SxueyzNWWWAeQ4bgigfGDPWosfpAPZ5lBNeY7FYPnqlE 6efDDRzXB9Eq9KGjBBShIedcfdyVPmw+4zJRwpCFIn2rX8U8yfhxXq3ebCAR c8re6hiR2lHy2Om7e/RD0EWr5oz5o0Y8WOxAv5/PDb3ODbCxdFehyyEB6RfC t3BQul1ln95HbHzw5+zhs+fRwOu9n/EJX/xYou+jGFNDmrMZ5zJ3TYNS2hv/ rehzgt9DMft7Q2Wwnc8mp3hYD6Z9v/4XFv0ZDn3drm/KcQCxqTTt4y0toL58 v2Og7xVIaF3t+zXVCbXqYjThpjHQk+Y62l7QA+rprP/ufEuF5ZVYbuqqfogy XAp4/DEfLA6VKkgEDEF4zUfhyYEyCArmpjQRHYXKlC+HxqtqQCTw6t82sXEY cfyqo/v6C+yme2NCyT4JrgbnpKM0O0FUKfeau8B3oJj02Fw63gcJfi+chP5u Q8RUaIvjLB9R5lBsIzfTKIboDXyrul2Djnzib+UUh3C/wWiyJ2sZZtxsVnmp 2Y9dpQf9bzbmYb5uslr+7R4suj530etPCq5JHfTpSelE4RdHb0XrRqN0QMf8 mH0LOh17f+XdrA9ycU29Gv7wGV9tGb7dmHXAktqA5FbnMuQmnh8tvqiLnxli yExRqcgs+MJs24sdA612jU+YBQETFfOJ7yc7CMtV0u4WIx8hcnujvjKLAIT9 piLypVVg5XFNU6zGEkQoB8ZqCxtBUEiN402UGxD971RxzrZD91MbrsAfIfAo JG62rYEMLCO3SIavksDt7FFXIvYBNY9IWV10NpSeeFzQkj4IdPsOqMxtFoHB NYU9TP+24XZT95DEHz5igwf9l+ZHbbjL3+Si/J0A/FKoayoQWo8HVNzD6SKf 4HicoNWTEMQwwZLOL2UmCHK8+WxJOUicla0p2C+GXMdtJwtM9WE+sqJiblKI YOWUysie+AE4te7Kx4+Lw25Vp5HH7xGOnVZlEd42AR9lw8SstHqYNs6yE+1/ AnpuaPOhow1Go5PWeh4GgtVzp/z45hqcinT77atlh0Fz6yOHzT8hpXlYyfbG JYwoPzHPcSgeb6iOuedzr5Fst7Kdcm68AfccT7AU2SJIXGLfqFj8BAdbLSaT mlXB+YnXyOc3NTBk5CFu/NIWCs4LqO/Z8QnF7tsb+//xEdXLHUK/ji6glali 32jKAiYPJgYIHJ/Gz9d8HkeGDKD0xWC7TaEpPPE2Q8PxTDeyRBnGfCFMID/P uvg/6XaMGT/w6dipMYz7L4TT16ce+R2G5LIlRvDZXZ3Sz6GVODVKyakaM4gP ggTXmfqLcJ75IYezbx/elvru4DaahTlZp5J7SWTsazZyE7VPQuL6scCD2+0Y 5ftKf/FEKFqtJeRILTSiEH0quZ3WHX0LNexoDKqRSs1Y6j2PFWbFuI2f0C/A jwGnPt+yJWJyumvmiF4wxnXRNSVcJ5Na0pb/k3VKgS3+1ui7WqxgV8l5IHu2 FMR9/75+vE8HiP+d1WBk/wyGaTSTJZoP4O12kvpe9RY4LVZyxTvAB2gap/SK MzqhI7Uuw9MqGpIKm356OPQA5UlOhutcqfDV1k1k34t+6Fr2P4jS+WBYNku2 1h4Cq+uGgslny2B3ZkDwEt0oHGp91FOpXQOiJkx7AxjHoeBhHnc17RegPFwi K/t7AnZzc09lr3eA+JL9A03K7yCW8WgzsL4XlLuahdJ3fPCGvZDrvxk+YsRV nbP6EqOYTccn7d1Tg5yce9yN3IYwvYbbQqCoDI1r5yM/BfWjpa7avbEr+aii cSI2MLkHr4wKHnDMSsXntLra7qOdWP20vahZNQav049Y/rfcgkOrl6N4zr1G 6qqq7Q8idZh3z5HuLPEh1pY66JW4lePKrfMslPH6aNG3Tq8dk45pohXf97Dz ogT1hw0LlVfQcVWLNOqHBLOb5YJXBvMhnmXLl1PmHHwouLY+TKyCrZvjJyiZ LMCt81wn4VQjHGjj7/11wRXWo60IrzLawfrOgLk0Wwhc2StlHeZHBv8bsWtx y4mgpvLAd/lZH9xKofTpy8uCpFTjKvKdQXD+Pq18504RUCS8/hiy41sMVfbS Jb/5iD+3ORVU1tqQr7HLeGA6EIuNJXqX6BvQsnHmsoXIU3Rq9GQ4pV6Ju7mb nnybvon3qNAxUysXhY/Hqf38K4HiEYlFxQ1m2E177MyX8cukywWFWjOR2XAH lg8TNY/BVJjFi6IiEmix3Uy/qmYMIxylgcJH6kH0v2JKgvRjaIousQi42ga8 RxeIg5v+oCukI2KnVItxpNMpS4r2GDM2HMxoXYxer25wZFip44/3TuIawYm4 kf7ul18NJa4e9GRxSYwF8i29vV6RK4TEqfi4tLkimDdkninzVoHZQ8/yLYRr 4Dn7H6ZCuzvwn6f1uvfOfD53mepw1AYf0R2tKni0q5BsQto2UbfAfW18WXM6 +ZjgPq/3jOEMWpfpVP/J8cSKkw4yR5qySfTi5N5A7/dQOODGUwv8kCEKzZId 5ZDZXSyeZnINclrf/xp3LEXXOgbNCDZtFJY/G98WnozNG1Y6z+mYkfrKiUsc gmGQvJbCPzQyTPA4nD3sPFEAD6W/+lS2yUPivXJnckIWns4XKFmZEMbkEepW 2XBHWPwxuLKL1p2gGP/FUoCcC/bpWmdn40+B1yqbxNn/itDJ5vXbuj4lNBC6 6xrOGY1Wr9k2g8bmScv379rZByaBfiJV3l/hPcCw2hfvscOz6Hz1Ye8tPqKP v2rJ3OIC2vWOPBroXEAefEdvLDeNeeFdqNI0gJNNtpkCMlOo8rvCi8uiG5XX XznIaE7gaK3VFR/jdmzaXJxXVhhDbc/31y7V1+MryTCpQhhBxteF/jzVlUhi ZZUfLx1EiqSLG74in/BMwFmcft+HM5VnMx5oZONyxFW67EEyvvsxot1ZloSv o3+KOfF14E/HaV39uFAc+uI3E3u8CQeqYlfm3dyR8ZcXl0d0NW7YfBt5KmiN YS0GkqSeAjQXnzUuzJLHm9xsQ09kQvHjTcaEkg8DJIKy8zafQzKwyva1LXxk giFLpim1B6UQcuTtQSUmbZhTmlFUI9eCar/Ud+fU+2DM8KbxCX0LKP/W8Az+ 6Q3Lu/PDYvw6oe7SBUfN+SjwOr/4a0C7B/bFSx5+WJoC6hnLOUGW/UBw9Lss t5oH5Fe7E7ykh+Cmzsjm/ZlSIJ1uuF72dwRyaMd1WrhrIEvJnsV2ewze2de7 hjQ0AYVE3dv2iQkoME+fiG3vAAmVDlfZpSnIpYkaqg/vhZjVRRfrHZ79dr4w KL/Dszrrk/cdiKO4dEgpyouxFufC7e3vJAyh5gjtOTPacpRe3caref1oPGHC ERuSjyGNSwpb1T1Y2sC7YkibhlXL9z/pb3dir+XGslRDDM5dvp3EJdWKC8UW F1MmX6NL2IdzBy3r8GhbNO3IwkNslJnKzqGqQLZnC406/ddQipCZ9iD2Pa6V PjXot+THYv4XEad8XoKAfonLXdePhJiTbr8UDPPBQKF31UnoDFjR6Jif3F0F MaJL6yfBHMTKfjQ+XWyAbtujwe1qz8GA//sm8XU7WB6LPDmbFQznlLfSHtmR oXdzQscrPREkWiOD1f7rA+I434VsyIID460qBhqD4C/jeTH0cBHoVuXs1d3h mQxdgPm/nf2R+Kad4MHTjs9TV5z59INQXOIQi+GlBhSfVd7D+ucprlNXFGf5 V6K1JVJMfjJFfdnIarnOXGxz2CeTGHkKqdlTharG7PFyHa9QQusDUqn2hV+d oVlAt01pEd4kDNfOGenrXSCBkQzjCypKI/CjsPE2H6sDM8lfTiesnOBlatHo v/1tsN7IrPJN0R+a1ojmPe61yDL5NJe9zx7f/Kf9g2quGN2YORpey13Bkv0i TbYhSRgVOXexUXIPnkv9OTxWGQ3PGBXqT+YsEvoKTW3jbIrAMZyBgotCGZLv P+YumKmGX4H3HnLb2kB+qr/W5R2eJbIKyA3u7Bu7/yVZR4ZWoVywr/OWjCWu UK79dSHn40veFxTBB87hSOLzo6J23jgV+sjakq+E5NJs9OSJZzqMei1yqH7m Ae52mYT2a+XQJX1NT/y8PhRc5lH/+qcUt0+ciTI+qoOrqTNnFiNSMKv8vWJo GiuqDkSyPVcIgYfu3J18Db2E0mX73HtmBXDVxCdQzJcI9t132X+/yUa3C6LB P8yPoc1xM5rkEzYg+9lpfNdLU4LL3UBZdu1c8M4rdj23IQG+9318xEeKMLeK xdbKVAX/LDYX9XDHYpRroswDx1+ksGKB7ndvEiGvoWW7a4kSbnL+W7m4w7MV 2R+zX3b8rP0OeSlgLgDNZwQrhUabScZ0d8rVn6aC1mZHuqkkO4Q9ULWXjE5D Ooqpb80ZnJg2+/VmJLU/5IlxHncfrScwJrVoyL79gO4ppNt9M+L4Ylf6/ic3 CHjt+OW0EeOBij428dzt2Bx476zvU04pBjI+AULX+d9g9UNv4VMO/0j5vgeV 2NziAQ5VnbvC8pcwkalV+nrYFX185Tp3vXlDujbgQ/kh7B02saeX3dXZh9WV 1c65lBEweFSvv6l9ghCaaRwVy+oCquYHf4nEhxNKr9Nf0uWIxF0RXeKcDNOk q8c/0VxwfQussWPCIcW0UNxZoFy1k79LI7D74jYfUXhVRv3R2o6fPpo4bTWz gAYSQqpPLk5jd+vXWbmpASQxDl4uOD+Ff7VCqHY7d+PNTIGbNtcmMH1ResrS vh3N6IZf66mOIQ/Vpbj2qXokMd07eVZlBMs5wmWtvlZiRhZ398kvgzgZLfWC 4eonNGnmZuUv6cNP+Iq53TMbD/gNl0XOkrGk5nPVn9EkFLdue5p6sgOdNMU6 hcmhGFNIRdN+uQkvMDzzaatwx7bgd/ZQWo0+o63u/OnWSPtd0YCaoxDZW4zO ELUVkES+4aQsFIYNV0MrKRaHSY/YCO0Hlt4B78/T2UrrjBBRTK8ZK1MKTp3p TNThWqBwrqrS+mMtkIL5WK107kNpCK+P5GwzcMgfoRNI8IbptxwFvs86wXSr 2aQxLwr+bu9y8lHogfe3j47Mvk4Br4bjD7T1++GZ3UPdk715wLIUtCtcaAjC SobPh1WVAs/WxIXEpREQPH6lzZmiBu6eTYwY/DMG324bzSemN4FrUXNf/OAE CKmVR2SWdYDkA3dq0ZkpMKlsW/7n0guKtJ4iqjs8l9X8Rj8xzUc0ecS7z+PS KD787fYuW7QW9XSFrRyyh1Am54wVSpYjfyCtbnxVP16gW8krLMjHTzTkCJnO HtSODlnOkE3Dse8UNvKMXfjYQZ3ahSYWZWZE4YlOK75IZNF2Pe+Lp58LG6h7 1uFeouQersuPUN2Bz/CYUgUKdOxRg2cGyHXf8/cungxk2KddVGgqgJvZ8+bR 6Z5AKE08dTE7myDLMWZ0gTMf8qzmIo1ETkNtbjtH72QlzNxsfrHQZwYeH6qV YtoaQP+NV2E0+Rl4mQsP8ji3A0P6BWWTJ8EgMWFef/sGGYJS975s9kyEd8EZ B9bU+8Ds1XAfHU0WXKGkpeciDAIVpeHB0e1C2OokFknv8Jw2QcLlzQ7PJ+zy /fPE2pHW2C/AzzsIZzjDTwbcasBMNROhhRsuWJbyldEmpxIFcpOWewTMsEnT c8aTJQ879M8f+XtPCp9vtL/+leSIGaEfyQVH3UnLApS19cxZ0Mb1tmkxSgiY /PUxmYIEz+o7bfNvGMLYijyVR1Ud+Bkdm+ujcoIxMZnEwoVWKMrJy12f8QOv sU9uexNrkS6TZLskeB8FY30jnp8owUvm9RuqYpqYqEBxcIvlLb5hjV+xYqLB wbm3yuwdUdC9zZq98vUnwTG+pjviWBFI5/spdSgoAQX3apvRl2p4l/OfRMG8 NRgX8/07tsNzx/WLl57v8PxzLAl1C6rQ2Z6wYpZtiVbcE/yfD3zEzOsJgoTD chjHesCwRuMV2mvsVqtMRlJBLJ+qHWU6+L4c9iTv5gayoCQNP3c5MOrLbr/K 0QNZb701nbNlmG0tXyddoINDX6u83DhSMeDbStNPRjacE9BwydMOhuhRod02 V8gE/f7OgzYCBSCbHRGe9g3AgFbJ4iV/Dj5IsmrhKRBFl5sMF+CDGVw9XHB/ 99PLhIO6SwlMzLmg6XfrtZWUBDB+qJJ+L7Czj/89uGondgnr9J9p/+GJwx+2 i5vN+b9Jk0YuPhVHE2Hbqz/L9DEF7D0emHhkh2enqTR+2e7wXHlBmuXArSDs KveVnD/bQQrrE/eX/5sCAXGp1ZPFB8AlRZBUxZmOnowrGmrXuHHusaL4lrAv NPNcGHT1qyFszHRqmDPnoty0ao6ZtAQ+jwjvSwvTRxabn/ktLsIkpskltxXO HEinClnNeCsKu5zejJQzJeIN9TC5O6coULezJfNSUBzQa9qzH6peJeRcIgWa tLmj/yD/YXXmVBKB0VQT2JIxtOVe8a7k/WhB83h0nDkcRpJ5akcVxwg8dZJS 1rqP4arddEIHvx/hFZaNOx6MQknVnJIh7VlSUitzmT7NW3ixRzhrepwazCaU l5N28s9sMPdP7vj5LrMmxWylEFz8vZc3lNxLcgzlbPxy2xs8Mkuj5/eWEHhN V914VWxwzeAFrWGxKalzUNPlG3MSlipl11faUmHUjTNPPuTGgFlE0BPV4GXC EfGZlaCAl3hWhyaBFPSRlB42lqN6KhQ8+e7v/ZM0QBDbGLDa3WMPwkSNRfHk BwQRXx7uIq4YNAl/ysp7Y4l04C8BfzP4Y4bL6drzS/UkM5N7oRJTATCiVZav 1dZMWNalvpgdegGOCPuqWSh+vXC3TljPgN8FY2hHehJLw0l7g73/tXS6AkfD Fd5jT94QfvwyzJJij8Dm6EhRWfpJEmOVYOzITn6G97UdSTvzjHhtKXnEcYZA 8f/f/+6f/+v/d+/5X///AK5hBfY= "], {{ {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl0tdLlnEUB/BXzb0af4E2rOscDbXAgoRA00zTgmhPra7bZuOuBe0JBpZB lBLaniREFLTrqovWjXVjQUF9Dl183vM9h5fnN56nYHFbXWtyIpFI4iPPhOdJ //slftLokzdRQzHx/xSGkcpS/0mnX95MLSWkscw8g+vyFuZQSjrLzTO5IW+l jjIyWGGexU15G/VMimeYFfBCPsxqMllpls0teTtzmRzPNSvkpXyENWSxyiyH 2/IOGpgSa5mN5pV8lLVkxzpmudyR25nH1FjLbAyv5WOsIyfWMcvjrryTRspj LbOxvJGP00purGOWzz25gyb26SfySe6iItbWj+OtfII28mJds+Hcl3cxn/36 Yj7LF6iMveiLeCefZH2cU1/OoHyF/NiXfgQP5N2ckasYkps5IJfwRb7ItNi3 fjzv5VN0yrP4LW+I+5Er+C5fpVuuITn2HmdRR/JQ3sNZeQY/5RYOyqV8lXvU RrrjbtTZ/JWnx/nlCXyI86gNnJbPq9X8kfvVhWyM96BWxt3xQ39NbaZHvqTW 8piU+B5ZxNO4n7g/dVR8FzzSX1brGWCv/pw6M87EL32fuoAnUfWH1LJ473zT 96pN/AOptmo/ "], VertexColors->None]]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwV08lvjWEUB+BL+AfoPKBmNdfGsKBFS6lEI5JGFDVviKkT1qYOppaFuaUN oRpREkIkYh5rbWZlSEwLEuI5iyfnd869+e77ve97cyrWl67rmUgkevCNZ0I3 E+SnagU36U0pHVz12S8K5ONsldv5SJ6+kXnyWpp5wQCz7eTJ4xnHWMYwmlGM JJcRDGcYQxnCYAYxkJx4Hv3pRwlraKI75n5nG9nyXFZzkOfx/VgvWfIcVnEg 3pts81oy5WJWsj/2gSzzGjLk2axgH0/INK8mXa6ljQ/xnmYNzJKXs5fHZJhV kSbXcIb3sSdm9RTJFTTyiHSzSlLlak7zLvbPrI5CeRkNPCTNbAspchWtvI29 NtvDTLmTr0zRH2apXM8DUvWbSZYraeFNnJPZbmbIF/nCZP0hlsh13CdFv4kk +Qo/ydcfi3XJp3gdZ67fxXS5g89M0jdTLv+hSG6Ndcv3SJY30lfu4gfT9Edj zfK/OFe5nZPyq7hX8k4K4p7H3eQcF/Rlahef5IlqE4vl3xTKLfHO8gK1k7ty krqBPrHv6g16MT+eyWXzRfE/4bt8W53KkdgXfbl6jb/yHbWYNk7E/qsLucRL /S01lx3kx/2JveZ6/GFjPZRwlvNx/up/ND1yrw== "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Tiny], LineBox[CompressedData[" 1:eJwl1GW4VVUUBdBHN6h0d3d3KN3d0m2Agi3YBRZYYIJdgAVKqNjd3d3dXWN+ /hhvzbUe7+59z96H+nOXjVtaqKCg4Dk/Uuf5UZyd8kpG04nCFKEoxZjv35Rg l7yKMXSmOAvMS7JbPo6xdKEEC81Lcbd8POPoSkkWmZfmHvkExtMtn2FWn5fk 9RxAKRableFe+UQm0D2fa9aAl+UNHEhplpiVZY98EhPpkbXMGvKKfDEHUSbr mJXjPvlkJtEza5k14lX5Eg6mbNYxK8/98ilMplfWMmvMa/KlLKVc1jGrwAPy qUxhrb4jn8g30jtr65vwunwZyyifdc324kH5NKayTt+JT+Wb6JO96Jvyhnw5 h+R76nvxrXw7FbIv/d48JJ/OJrk/v8jTOE/uzGfyzfTNvvXNeFO+gmvlIfwp H5rnI/fmO/kONsujKZy957uo+/CwfAZXygP4VZ7O+XIXPpe3qZPZnGejjuBf uV++v9yct/J91IlslK9Th/KXvEudwfKcg9onz47v9Xep09gmb1HH8BhFch+Z zTN5Pnl+asXcCx7R36qO53FW669SB+Y78Zt+p7o/T6XqL1C75tz5Qr9dnVLo /3fwSbbk7NSRPJqXMu8Ls3iafXM+aovcNd7Os1Un8QSb9Nerw7I//tbvVmey IndI7Ztz5gf9DnU62+Wt6liK5r1iTs4nZ6lWyn7k29QJrJGvVgfxuzyDC+Vu fCnfqU5la+6LOopC7JezVlvyTs6cG+Th/CMflnsq9+PHfA4VWa6vnHORz+Qa eTB/yDO5SO7OV/It9Ge1vhXv5lw4PPc0z5Cfcu5UYoW+Ss5QPotZrNf34Ouc MQNYo2/Ne/nuHEHl7Nmsap6/fDaz2aDvyTd5ZgzMvvVteD/750iqZF9m1XL+ 8jnMYVD2YtaWD/JucRRVs65Z9dwp+VzmMjhrm7Xjw9x9jqZa1jGrkfsjr2Ue Q7KWWXs+yp3hGKpnHbOaufPyOuYzlBr5TPNaPJv/E1jAMGrm781r5y7n3WUh w6nFseZ1eD7vAIsYQW1WmtflhdwhFjOSOtSlHvVpQEMa0ZgmNKUZzWlBS1rR mja0pR3t6cAq69TjxdwZljAqz9GsAx/nPma/bMx95Wd5R+6VPI5i7GFungMd /e4/zmXXvg== "]]}}}], {{}, {}, {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Medium], TagBox[ TooltipBox[LineBox[CompressedData[" 1:eJwtl3c01w/cxb98kVBZmclMCRmh7f2xKtEQEZKy0i9RdmiSkZaMSJmVCIWi FO+PnZmV7L0JX75mxtPznOeec8/94/51/3mdc8WtnE7bMlIolNZ//t98Zdhj pJrNTFL+Tyqkm4XQ/kR2ZrKirmcmQUWZzLVxdHwwzUTuS29frJlRIlevFCZc b2Eif0wpvgrPUiL9vf5jJ5KYSOWhP02TKkpk5PPc9nZNJvKqwUxDkboimVtn dpvPi0oa5M58e9IuR642p2etXKCSpXSm8kdX5UjNbsbh/iNUMnqabSR5TZas nEg5lbWZSiplM0eqbZcl29n/ip/KYCQvV8vI3fCVIdd0oouDhhnIcCyjWDpJ k9rHJxeu/WQgLf/whD7lkiYDjbTkz2YzkPG/IjjLP20jOa3HwqX9/vWGBlTd VSlS4s6BS0WiDOQ+Vw7Nc68kSe3ctvUrxhSyoEZtIZhNnExPebOv7ACFtBPU p899FiMFop0uh4hRSOmi1ERvKzGyaZ7lmV7jGnKeUfIIvylKbvM25ny1tIq8 G+WMI1lFyMK7sxzEkRXkq2UouHlPgIywCnJo5FxBAd4wj59L/ORlLZEq+9Zl ZKmkPBF04yc5mXWCQ64uY9etpa2BTnykZWDY+r7Qv/jNy/bGJW9ecvnxbhb/ 7kVUf1NdRh/jJGudymyFUhYxrI+xh+seJ5l4yrwk3WURn+oanxkX5CSPcfv6 /WZZxIsztcLhrzaSUeH1jDLyC/i6+uJIUBQ76eBuZ5U3N4/GedH7KrvZSMJk qcCAnEfejDP79WXZyGEBibtehvPIfvtKxWQ5K6n28vpa5Y05vJDGHjIhx0Ky 3WS2vKA1h2OflevOP2ImOyyi8ukcc6jmIfK9YYqJ9BMtuCkSN4vuq5ab0kkq 2ZDAuexYSsctAv78xr4M5LXkDwtcPDP40NNHeFX4LypudPTV7J7G3c4SqlE6 S0hzltvokjaNIkPuHin/djkfTJZsPDKNThZnHNba59HtZ8KJCB8aXtyzqV6i j45qKhdbSnVpaFh6cnyrAh3nIkVt5vloyMQSKqx0ewY9rF7eOJsxhdcy9T5c kp3GmVFZXdWqSXSYPVv9wnYSXT+9Ox9hN4nMEad/GB6cwLmb21znKZMoQ10q 8RT6gwucorFfVSfwkefbz2/HR3FZjXv2UOw4OhwuaqcNDOJNyhO22H3jOFjg af3f7ACulrOLURrHcMrVr+Qx+wAyWDDrFbKO4Z6c6XXeen3I4rsQd9h5BAUk PZcJ/m4M0HfLTuIYQSLR9N1kZiey8k1XsiYNo5cOiSpaHciWPDZX0TaETsXy a37+rRjsbM8h5z6EaU2BPIr7WpDj4ID4I84hFIgKsp+e+42bfnbqn9QZxIAo qbTlZ7/waaS51ceuAVy3gSeo/1ojcls1e3B5DSBGn7wladqAvLN1CQ3p/Vjh Zv5o8EgdCgiXLJgI9KEAT6bRHeVKjOrX2Pg1sxffBLz1gqByFErPlxQ63osZ nc2qqbQyFNH4cqL9bg8eZzsqsnGuGGPYVG0ObenBHl15Ca2QIhRtzLgRk92N yxrxV98cLEStGmPdgqYuzLDm4OnzQzx88ZSrL3sXHpABW7W9eXiUrhurQ3Ti CLtSUh/rN9QXOjRbntyOVY0z5/TWsvFEmprYw842ZA/ZfO++5Gc0IBT1TvC0 YQBf5KKAVRYa20nG1/u0oLbMRU092Y/44LpL4LPPzaim5HtFwCMN83yKnE5P /EZXk59i94pTcCqAx4R7+298ONUeePnQO5QKtVavt2zC4u29ATbdb/BsTNa2 Z5G/8NyOzYzrUxMxOJm64XRdI4aLpLaNx8TjNCa21Wk24DrpPO+wkWiUrpwp DPGux7sNVSJdyZFo2qSVYvCpDs2Lz8SZpIXjw57QEK4/tShxsrhShvYMyfE+ z7pttWhZ4Wd/1/kpDk9eIiXyalBBcN0tXouHeJKF9UnCrmqMazZV6NYOxOwt 7ywk4ipx251Wt7wIP9y6+6hcAlcFVn+/2Es9fhfv6w4vifv+wKMeT9n5in1w 3DKwPJ5eii6G1T1GcR5o6L4jUtyuBPfay152kXTB3Ic/7OJ/F6GT6Bd/DT9H FE+0VxXXLUTBo+JSAr2XMPArK1N8LonvVul/fuhaYWeswRuNs/mYMSF70kbX HNOqQjQ1DnzDqqrqHTZfDNF7sa6L2PoFJSg7u6Lt9FBXmvsmwfAZ//Q8Mvou qIn8hqeFiP4MrBF9fUvHUg0r16Scbj9Ow/4rzJ/E9sigvemb5FtGSWgbp2Iq Xy2ATFnb+m8KxWMl+cNVO5iKhKD+oaV/9Kct+KGWcH/+VGSUDS3qHtrSaPwg lZzvwxhWcnjvZTgaGetqb2SpvuuFdRmv2hNwsak6sCGjWr1TMGOCfdNLELv7 dyX+2ay64e7m7/4ar4F3P7fwowOckN1ici/AOwUi6WLDapISsIEckyw2+whh LWkPL/ApAYS+9y/2yIIAtgA3ov4gXLe7MlIclg3JqkVBUjcPQ8I+Wf2SjK9w P2KAu/fpKWjkGEsvqfkOWsffUYrOmgBLdwpX6RjCc2ObAM8iS3hpqrrf2q8A WLbt5JRcswFVrfArfdxF8NzSNGGP8BWokZt9aR1fDBdDHduOS1+HS3xnavoU SmG7tcz9BSM3oFA+r1nnlwGl5H3quJQXRI3wKvXrl8PP89qK3vG3QbnB1cqm rQIOjIl5LI3eg8rvjaH9l6vgj/0Nq192/mDzVqXEZqEarv49XT6n+wBWnoTN 9fv/hLTZRqF1Lx5D5cGl0MwHtXDyDI+1SXoIRCqlpE4b1MHL7D0ilXphYCNt VqIsWA8KR6/MKO94DorCbJ3O3fVwP0tDxPrwC1jZlDuXmdQAggkn6hWSX0EF 03+bZhwbIaOT+012chxELAru2K32C66YyHfOJyaA1UQ54bLyC2afEB9Lil/D rr4bplnFTcBpwbfnwYYkKKtqebDbsBmG1inVx25JBXvP1jJz2RaIMRWPOSf1 AVil2pj8qK2g9SHdbl4xA5J/tmmktrWCwuq06bOxTDjm3X6rMasNnDg6Tw8W foJR6Y5vy8Ht0KF/zbs1JxuC6zsWpGw6wEQ5ZeVM5ReokulyduPtgs4cvpzb Bnng8Kvrw6vxLkg4dExzuQTBn7g2Z2XVDbSo0EsndhXA9vFru4P390ByzOSx mcUiWNCgGcS+7YGt0R1cCt4l8OP59WtZ3L1wXzVeXm9TGdhrOae1jfYCTSYl Z/p6BeyNmq6cNO6D+rnJk7YaVcA66TxKLeoD6yMcIf7baiD5hct2ueh+eJfa /7GOrw68pmZ0iHUDUHL48wYtmXo4dtjVxshlAELDacPThxtglOYa76M3CDuK 07RnX/+C3COz+DRnECw65M2+DTTBg1duna8lh0Biq5BAknIzyOq6C1f/HQL1 oD05TbRWcIjz+Ie6EWgK0zai3++Gg3PzWUoCo/C5LpuH36wHOPQ963X8RmFf uGXdbtVeSJv33OR4bgxiRozaayj9MHHCKyif4w80m9ZqfZoagvzXS0n1nn+g w2JhXe3aMDxe8iod7P8DtuYm9Cq+UVB4603dlDcBtj65rR3nxuHLrfz8D2pT sNk12FPz7RTEJa9Wf3WYApFty34jJ2gQ2KjeUZQwBUYPA3Ppf2lwdif+/b2R BtQXrleuW8/A4i/cSxmigbO3kGPk5TnopVCOsolMw8zbEf1ZtXmokCVMeA2n YUNh44jM+gV4cZd024HTUNt3a4fR90XYL1+Qeer5DDyISdTUsFwB1camiPzy GSjqqes8p70Kit7jXnLLM9CQbTvBs2sNpMv5tVgv0gFV3T4UBFAIHlvHBtw5 C+tlfko232ckNnL45chbzMLjb8/FPNmpBFtWVHT0k1mgOkBNWCiVoDCUWHvQ Z0HFoDDH/D0TMf5SmL4rfw70jTOkihdZiCEtpeaXU3NQyfB4/UToOqJ39PB3 Nsl52C/mHlGkyEq07HX2GwyYh6vdq5JBzuuJ0sYfvDEGC5D4fIOTBD8HEcvh rrphYBEqIpbtmumcxIusYEFv/iWIZQj9nXKWi4gwi18Z1l2CSS9zHsZ8LuLh u6qS4vQlOJh+POXYI27CU1vS2MfzL5inavtHqPMSp31q3cfYV6AmdcQrZYKf OC45aGaqvgJtPlfbZRwEiKMVf9XLrq2A7ceTFIsxAUJdYPu6xF8roGCypD86 IUjIfrr53Cx2Fez2uu+cYdtCMLpvbrcRpBA5HvvzkvTFCLMLKfVfVChE6JF7 PapxYkTmMSjnOEUhZu8ofeiiixFWopezP/lTiJiDouSjeHGi8Mf3p0x0ChEm n7Q+kFWS8BW20Xldw0C0vO0rfb5RmmhnXjywMMJA7LzDlUu6ShMqU4+U9ZkZ CUU620HJdmmivzhHlH6Akfj65avty/TthLYj+5JWMiNRud49PtRKhmAqyEzv 86US6T79OntZ5Ylz74+82RNLJUKcD5xvvSdPfApvjw7OpRJWKoWjDavyhM1/ LEG7aVSCZ8eXlsalXUQJj5m173kmYuyZmWL8XUXC345BQHIfM1G4ec/JnPfK RFU/f+/+j8zE//8x4n8AYMrvXQ== "]], InterpretationBox["\"y = \\!\\(TraditionalForm\\`x\\^3\\)\"", StringForm["`1` = `2`", "y", $CellContext`x^3], Editable -> False]], Annotation[#, StringForm["`1` = `2`", "y", $CellContext`x^3], "Tooltip"]& ]}}}, AspectRatio->Automatic, Axes->True, GridLines->FrontEndValueCache[ analyse`grids, {{-2., -1., 0., 1., 2., 3.}, {-2., -1., 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.}}], GridLinesStyle->Directive[ GrayLevel[0.85], Dashing[{0, Small}]], PlotRange->{{-2, 3}, {-2, 9}}, Ticks->FrontEndValueCache[analyse`ticks, {{{-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm]}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}}, {{-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm]}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}, {4., FormBox["4", TraditionalForm]}, {5., FormBox["5", TraditionalForm]}, {6., FormBox["6", TraditionalForm]}, {7., FormBox["7", TraditionalForm]}, {8., FormBox["8", TraditionalForm]}, {9., FormBox["9", TraditionalForm]}}}]], TraditionalForm]], "Output", CellChangeTimes->{{3.416494375459485*^9, 3.416494389211523*^9}, { 3.416494426468739*^9, 3.41649444174338*^9}, {3.4164944920595503`*^9, 3.416494508369405*^9}, 3.416716028487957*^9}], Cell[BoxData[ FormBox[ InterpretationBox["\<\"\\!\\(TraditionalForm\\`\\(\\(\\(TraditionalForm\\`\\\ (\\(\[Integral]\\_\\(-1\\)\\%0\\) \\(\\(\\(\\(-x\\^3\\)\\) \\(\\(\ \[DifferentialD] x\\)\\)\\)\\)\\)\\)\\) + \\(\\(TraditionalForm\\`\\(\\(\ \[Integral]\\_0\\%2\\) \\(\\(x\\^3 \\(\\(\[DifferentialD] x\\)\\)\\)\\)\\)\\)\ \\)\\)\\) = \\!\\(TraditionalForm\\`17\\/4\\)\"\>", StringForm[ "`1` = `2`", analyse`Integrale[-$CellContext`x^3, {$CellContext`x, -1, 0}] + analyse`Integrale[$CellContext`x^3, {$CellContext`x, 0, 2}], Rational[17, 4]], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{{3.416494375459485*^9, 3.416494389211523*^9}, { 3.416494426468739*^9, 3.41649444174338*^9}, {3.4164944920595503`*^9, 3.416494508369405*^9}, 3.416716028556692*^9}] }, {2, 3}]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Calculer l'aire de la figure limit\[EAcute]e par la courbe ", Cell[BoxData[ FormBox[ RowBox[{"y", "=", RowBox[{ FractionBox["1", "2"], "+", " ", RowBox[{"cos", " ", "x"}]}]}], TraditionalForm]]], ", l'axe des abscisses et les droites ", Cell[BoxData[ FormBox[ RowBox[{"x", " ", "=", " ", "0"}], TraditionalForm]], FormatType->"TraditionalForm"], " et ", Cell[BoxData[ FormBox[ RowBox[{"x", " ", "=", " ", "\[Pi]"}], TraditionalForm]], FormatType->"TraditionalForm"], "." }], "Titre2", CellChangeTimes->{{3.416482364942295*^9, 3.4164823986375504`*^9}, { 3.416482533637314*^9, 3.416482563327402*^9}, {3.416494316596678*^9, 3.4164943482758617`*^9}, {3.416494666467757*^9, 3.416494684765552*^9}, { 3.453604199786282*^9, 3.453604211960536*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"f", "=", RowBox[{ RowBox[{"1", "/", "2"}], "+", RowBox[{"Cos", "[", "x", "]"}]}]}], ";", RowBox[{"i", "=", RowBox[{"Integrale", "[", RowBox[{"f", ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "\[Pi]"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Graphe", "[", RowBox[{"i", ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "2"}], "}"}]}], "}"}]}]}], "]"}], "\[IndentingNewLine]", RowBox[{"p", "=", RowBox[{"Presente", "[", RowBox[{ RowBox[{"Integrale", "[", RowBox[{ RowBox[{"-", "f"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"2", RowBox[{"\[Pi]", "/", "3"}]}]}], "}"}]}], "]"}], "+", RowBox[{"Integrale", "[", RowBox[{"f", ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"2", RowBox[{"\[Pi]", "/", "3"}]}], ",", "\[Pi]"}], "}"}]}], "]"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"Simplify", "[", "p", "]"}]}], "Input", CellChangeTimes->{{3.4164943598080797`*^9, 3.4164944409454613`*^9}, { 3.416494475211783*^9, 3.416494507741542*^9}, {3.416495011279469*^9, 3.416495055182926*^9}, {3.416716108637581*^9, 3.416716117153698*^9}, { 3.4167161675185003`*^9, 3.416716172500081*^9}}], Cell[BoxData[ FormBox[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJw1WHk4Vd0XNn33HiVNNChSScZSKKLWTkU0UaEyJKUkMpaSaBJKMhWpUDKU IQqRaovIlK4h4XKPFEmSKccQfvt+z++7/9xnPWfdtdda7/vutc5dbOu8205I QEBASlBAgP8tjKdUfdV03TA0yf8wENpv+fx22FMI2l4/vGaYAZ1ioyl67gVg f6zxiBaPARevnYeeu5QC99y1qJvZDDjl2gULLeVAjvHGxPM+DNR1Goom2daB fmCT3PAqBq6tHBLI2d8Aes68w3O4Q+CqXHqrIKEZaudaX/N0HILRwyfSW062 QuPkT9/U33/A9rWZccjRNlhwOeWSodMfONxXV1AQ8A1esTIydasHIUjthXPi 1Q6gZnncO7R6EIQKXqy94tUJOklW7p3XBmCm0rYqOqoL0pWqbd6X9sPWWL34 3rBuOFTRZp1D9cPc35X6vi96IHRlUOhZ1T6Ifv9SUPh4L4RvOCA+ua0XdKU3 Tsoe6YPTzEaqsa0HlFtnfDvv0Q/5RXKxt4a7IS15ln222wBUFtVHPlv8E7x5 VrXKVwehW8IzV3buD3DV1doWE/EHOE2tj2umfofR2M22P0OGQFAs87vPwnbg uETbeD5kgHVri8yP8TbQNlgy0fJgGPTVj4yuFPgCZVu0k9G9EZguZbR1fA4P EjLvaLeljMK+5LKG6qZGkFyq4mD9eAz8W7wMtX59ghpB6tL8V38hOVVg+d2c asim3BM5ZeOgL8XatMugAlQkZzjYFk9AtCJnnVFNEfwOHpJQr58Ej4Ss0MGG F7DU33+ls4MAyniwPHmraDy0HeA26X0XQALjr+8NmYXgre21I9knBVHvTtWb QkbP8Bk3O/s5vwSRwCw9g/3MG7wz567RnNNCaPiidaq4cAnu+evgLTwkhDJy vQ8xhRX4weeLWSfdhVHGjZikG1c5eNR+vc3ZMWFktKXOWVetFkuPh1q4eokg tcKMw1ZnPuEOg+vllMg/6J15wI6f2Z9xkXwlyFz/B9mM58o6P2nEDlSiyGJR ForaOLnGZxMXv4iTW18UykJrsnbPX/imGVfp6BbvnslGGhNzDyh9acHDDnf3 2ASzUeW2ZeG8Qh4uNY41nTaHQqurioQm3Glsq62blBRBIZl2u92CjTR+2HDe 8Yu0KLp2bWYkM0njVTqPt40tFkVN/+qDxrsd5zdFhcWCXGNs7LQJBmjBJS++ m+eCSINasc8vBupjK7NHXd+BieB7leYKBhL+iIGlRSXsE3U+036XgTjO54o6 vRpoelWw0O4AAyvFZP1WWNdDtYvDj4MUAyF722XddrCQwzxh6oBoM9Y7qSZ4 vZqFJAw7/ZB5Cz5ceyKocRcb9d68ku6xn4dbre7XralhoxyhC1rb5WgsWezk c8CUQv1S/mKG6TQWEm0J3NxIoVzXznupf2jcFTjbsmeRKJrjn98+Tur5dDBs +f2wm7CmrtXuMtF/xHr7gDszsmBe2rkWxwEGAp5NtYlxK4Sz+j7xAZ8YmJKr ymEfLQeJ8zcTVz9m4Oo7mbSfq6vBuz3wzl9HBi6Narx3sPkEWX3mjQ+lGTif XhxmqMxCiXsqeq4nc7G3v9KipEwW8hr4uS9crAVHsesUbquxUYiQQbPiIh52 PLIwYlsGGxn3rTKs+MPDPddYXc81KbR3HneWZDiNVz8ImjeUQyEt05D7D3/Q WD9z67fvMqLIWGNg8xipx6pOI6QvLQmWPhotihljQKmE264Z+wrc11xe6NTB wNIbN6aau5bAkMncu+pvGUDq3WkZxlUgV6belHyDAcp0zdeTfSwULZ0yLhPT glfECvcudGajR7/umrFDeHivuYzkkkE2KnFbIG29k8a6k3WzBE9RqDxufEtU MY1rXFTHwsYopCc+1V1mnMbBtrzaQVlRVOXpcJbPnyb9K4UJYb4w1LG1sZX0 +6TFVNf+7kwQW4Zdhv4w0KajrNnr9hYeyrcuFWhiYP38N1FWJ8rAxE9P3fcp A14bCqWZJxzYuFhaqPUUAymu0BnwpQ6854wY/FzOgAc3e5umFAtd8LC9FXSa i6Uilq/IfsBCakt70jntzfj5YspzUJaNTnL2eMYJ8PCz79wB01g2OvA6eWVb Mw9zf9XEti4j+vCK5fxzhcZGTt/oqgQKSbzazfn2hcaDmw8nHyH9dglMuDlC 6tlUHDcRkx8PWRand//5y4DIN5+q4HMvQXtwu4VUF0PySmtNdi2GvZlTrJJK GHCL8D7NMvsArWdEprRHEH0cUu/3/sJCXRc3tCqea8Fb89ZuOHeQjW53ovWa p3g4uqnFQ+UrG03p11//VZvGCrYPSlXtKPQ38Mp+p5eEz7p+hSe6KGTT9Thy eITgMTQc6Ur6raWypnqC5Cezsy9nIC0Soh+rJ30nen25qDgWaeSAVHyyUXQv A0IK6zT8t1BIyi8gWPkBjaU+aZhIl1KoKd7/9rpeGkdJr5A9QfRiHTia85fE 8/xaunhzXAokB9uOiI4ysOseZVV3hUKWLEgs+0jjl48+qb8UE0VXpoXLyhD/ 1qqi6WfI/aFwfB+Pj3+7hP1wTpgzTNYbrBkm+Ft0WbbLcDMgQKClfhHDQLBA /qL5AwWwQdFKVa6Z3CeGrPNUTyl02+7oDn5G8B2bXf/3KAdCQlffXOtF+Jv2 bnjuwzqYsX2R8ogKA7/7VBVSZrJQ0MdDWsutuNheKlHz1R0WMuuoipSoacYF K5bELJ1P8NbfPSzU14JNH+cv5d5mI5Gzt54Ic3h496K80SFpCk0UGjOy3jQ2 2xOySec+hU6zRYojW2hcEewyZSnB33rvu7vDpJ6c1/XZpwofQJCB78bAcQb6 3Th6+cfzQKiem/LpJwOKXN2K6r53UDJ+8ZFhGQNixe8OZDZUQs6V+fmOUQwM fs8cudzIQi6vmjP3HG/BZiUmdk/M2cjmt8gbt2M8vP7e60eZTeR+23hTW2cl jWPC/ZdutqKQNVvT0iuLxkNLVsk3fKFQQ8M8K4ah8WzEGl1J8C9/9OUwH38R sFr2ID8cpj2p2bWe9DspfY6E05JsmLlx/XOxfgbO7Je9eX89hUrdxJwgmsby +a1ZgZhCIh53zGb/orHzMZ1LigT/J48Psvj4d3EnGqSSHkP5rk/Lmgn+JR96 XnR5U2iG5TolTjmNS65djJQXEUX3furO2DRB4xfzql3XEPwrdYyy+Pg/2Ogg MpzmD/I983/kkXw2+Gt526ZT6EiAjXNnO42lx0z1E0l/Lyhmu40Sf06lg0Fp VgKkzpWsNSH64pk1Wk/2U6i7eIdRxhiN7VJ/aj4n9epJ56ny42tZ+W3Vj7sL EZrmjpcI38V/B/zK4BB/yfz98wZo/LZW9k0qqWddbZEZ//5Pf6PI2SEpimxS Z8Y/JTbll5OW9++8i2D48UYzVh5pDDsI8VE3pk2QfGsy/RZp7s6AhBS3jDTC 129tQrdUnxdA5S/vTWot5H61Vfpt9bQUxMU15GZmMdDbqPtscjMH/G1Lyyy9 yfzYxr548FIdeKie9fNayYDK+PE5R6exCN8clCyMuTjEyi4P32Kho97o26LS Zmyg+XSVjiQbTQQpi8n8aMHy11Ly74ex0b3gDb1ny3h4mpaKgpAUhRYuHoS5 Z2hsqX/0VF8UhWIubM815RJ+qnvqCJF+Ukv8FvD52pvnOvNLcRzoiGTbfiB8 tV834l3dmgtNp4J8U7sZuPD6CurIfAdymlmtEeUM7GvprGRFV8LWj67DStEM LFB2Pe//iYXsxTxfmti04OZK3vDbPWyk23dm+TkbHhY/n6brUU/sjt+RlYo0 PpA6arxrP4U6rYx8jmfS+K8ke19wC7GPBKlyh2g88U1MeTrBL6e0U57PV8+1 4c2ehaHge0Zthy3pt8xp2Hn5Thbo/UAzMOGrulv4q2RtCh14fpf17DaNVdJz OiCfQuIjowpHfpLzxPSeUwTfjAdFSfx5KNdwR+Pqk2RIb3x9FMg8vNhxqP3P GQo9KqgR0S2lceV587LmSQpddVAZyCPz6uHrzw8lCf5xQYNRfPz9V9e7JeRf Bjn7W3s+knw2e4mnz3tC9qXraR9+fyV8ibP09CP9XRhkIMzn65Syf+LVcx/B TNX3VxIIX78ZPg3J7qFQ3fQFD1tGaWxs0n80jNQb9DlUkB8/xTR/cmHSHdhq zP6bQ/gq0Wa96FglhQaP/E561kfj1DPLf18n9Uw5NELx+ZqVOSkoMlMUOb66 M9uF2IOKr3lRJN9932f84sdLVLCMFUj3hD55Na8ekm/vSovBxR0Usl2mqyxI 5oPC3clSY3L+9gWJ9/j9DtVffrI86xbYHec4SRD/gsgUOxeK9E9ZsjyP6LfS vRyZk/g7/U5U8OPnG0/cMoq7Duuecu/EEf+Gw8KqhgyFlvj9E+Lyl8Ze7HaR OhL/wHiKKd8/uWJPTOR8UfT3TmdVM7EXtj71biLxnj37Ns5/vuzHGx2Z8F3A 3XzoMv/964ZktG7BtAw4p/2ho5/oa0Zd4se14QVQ8uJ9TRbRl9FJ3WQqpBTe in2u5xB9rTA0kRXU4MCSeTVFTufJ/X9HYctltzrIyg+rzFNjoEIo4MamqSwk P03xQ48hF8tNbj73NpyFUqtvfFlU1Iyv5Z4a05/NRlvnv50q396Cb3rFs31D yH7zqPvUihIednjX/oY9j+yPXqwwsdM0psEkuPI2hTR8PTiqTYR/V0dr+8i+ 3NNW3cjfl8W0AN82iIOzFVnjv4i+5GKmRVvey4V3w0s15pD9OCVd4Vxv6Dtw TS4R0Sb7sc+PUb9Mr0oo8FiSQZH9OL3SGAJrWSiZl8GusGjBssYJhR9M2Khp +qr3I5Y87OmUEGBax0ajxxtjxZfTOFcr6/tecwqtefJ5LfcpjX2n97sc51Ko Y+q+VfpEXx5rQ4omCH+ishpYfLwz1VdofS0OAcSVMXMn/W5s3HNC3DQLBq41 Bcwh+27IxPY96Wsp9HCvuU97BI2fJj2YlMqj0AptJt2vi9zH1sXbhgnfU5kv p/n6QmbH2nRUkqFpZW2oM9EXz22B99hpCjXHX5/XXULjXZ56bS/GKRSlcs73 JNHXvBkWOv8Q/LvFcwL/vV+VxJS8Cy8Cz4UKbyD5vHcfKRlIIvtW44no7jYa +/TT00+R807OHS/j71vyBrXGP7QfQbKVbOcHoq9jm6Ifh3RT6OUO+eNORF8l 8acmLxL+3Q7u+sGv95uJmUXAkyjYlbui6iPRVyTXUEuvnEJKdgo/h8l+s6Ti if850p+2ixda+fNtbUqXFC1O5ufXq0cNie3gjTwDSL5DGjod/HyD5pdOS893 hxsL6+sGSL7uivrTxr9S6FWgZYjPMJnPvy4dQuT8N47lF/jnl+sVlmnmRoCP j52FIvHfFHrbZxuL6Mk0LO8C0ZdeyY5GfRJfz+lQAT/+CkONHYuTAsGlfNab NP5+ZNWzRe4Phago77xZRF+9++3vF5H4QlLaenx/5eINL9zmiqKG1W5+pXx8 h+DTzPRjIDbLL2aM/N7wimOGoJAoCrCcXyVAzlM5sXeKPDmvq3dZEv/3Euvi 8quy/KDesleqmPivypX4oTBbFKlxSpeHkec+n7X1H/P1f6Gxn+9fsLZXbU/c OQgxNJPvJP7rYwq235oiimxN327sIfHNFhskHyP+vZftP/2r7xp7v1cLRNFL R3ffbmILCWu8LnlL3q////nv/5f/7P/eN/+z/weWoxS4 "], {{ {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl0k0s13EcwPE/jWmYxjysG+U5Ibce1C2Fi6ibp7pQMUxuPdClkq1aWS0j Nz25RLWpVWM1tFpNulF06YFNVqZlXubw2vv3+3z227777pdYXV9SFxwIBILo JY/NXhJI8ryFrSSTQipppJNBJtuYoo/TlLOfnWQxzV3OUEEBu/jOIy5QQwnb +cI9zlLJAXbzgwEuUsshsvnKfc5RxUH28JNBLnGcUnKY4QGtVFPIAkNcoYF8 fvGYdk5Qxh9ecJ1mcpnlIW0cZZlhblLEb55xlcbA+mWPSjd7meMJlwmxe6cn +c9rbhNuPqGH+ctLosxuaJh+0Fg9pcE6rtF6RyN1UuN1h36jn/Mc4x8j3KKY RZ5zjaa14/puTHvYxzxP6SDU7r3WscIbuogw/6RHWOIVm8w6daN+1Dht0Q36 VmOC1v/Bz6wCPHNS6Q== "], VertexColors->None]]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwt0adLxVEYBuDr3ntdt/d/cEZndCVnERzJazA4o6NpMAiCxRkdTYNBECyC YHFGR9NgEAR9fnDDc95zDqec94uMRHsn40OhUByzsSy1hInY11BNFZVUUE5Z 8I4wJRRTRCEF5JNHLjlkk0UmGaSTRiopNNHBMIsc8kIyjbQzxAIHPJNEDxOs csoHDbQxyDz7PJFIN+OscMI79bQywBx7PJJAF2Msc8wbdUyxzjlftNAf63CX B4Jep9nggm862eKKX0ZZ4ohXatnmmj+i3AYdmceaPOOTZu6CHt1vBl3LS/lD XzAH55vgz3Im6F/uyHv+AesSMrE= "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Tiny], LineBox[CompressedData[" 1:eJwt03WQVWUYwOGVla6lFqQXaSQE6Ua6G5GSFUEE6e4GaZAupbukGyRUlJKQ km6lu3nODH885zfnPXNn7v3ecyMi29Zs80FISEgyl6CnmEs8N930Qz2oifUL fc5uEriforH0mJbkHpsZQ3TzI9qWt/zBLD7jGqsYzDe8Yh/TqcpjdjCBTkTh NPPoTn1KcZ8tjKUdebnOaobQnGqEcob59OBLPicfN/iFobSgevCbOcsCetKA 0uTnJmsYxrfUICr/spBeNKQMBYjGORbRm0aUpWBwRsQgZnCOxCYOcYPzJz5h wVmTkETBHkhCOEmDvfERyUlBSlKRmjSkJeL9ftPpx6QnAxnJRGaykJVsfMJ5 FtOHxpSjENm5wBL60oTyFOYWa/mBltQkBxdZSj++ogJF+I91DOc7apGTSyyj P02pSFH+Zz0jaEVtcnGZ5Qwgkko8YCvjaE8xbrOBkbSmDk/YyUQ68ylXWMFA vuYFe5hKZR6yjfF0IPjj7JefKM4dNjKKqJ4d0u95zW/MCHZtflzr8pRdwb7N JmkM/TvYs3bRKPpX8A7obI2r/wT719x6lZUMohkv2cs0qvCI7fxIx+Dr+tyf +jMluMsmRhPNs8Pahjf8zkzimJ/QejzjV8LMJmtMParh2lVD9YAm0jl6kjy8 A7qLgpI= "]]}}}], {{}, {}, {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Medium], TagBox[ TooltipBox[LineBox[CompressedData[" 1:eJwUmXc4le8bwGWvrGwyzrFlHVJJnjfJKEklpBKSSn0lyQ6VldAgsgpJSIVk 53lsIZvMc6zsbOcI8Xt/f53rvp77uff7vvfnOtIOd85eo6ejo3NloqP7/++D yVPLOzuaqEK/JYeB+w+Y8BVcG9jSRCdKI5MfOf8BZjwUWtFfTfT6xbHDD2r/ AKlDrv/urGiiWEn3B7+850FV+EvW4QlN9N3tnTEcWACsqr8k0E9NlOL9XrkA WwJ3q95KJzVqItYFgT9BN5dAv+UNGa96TbQvWrxv/cUS+BjwV1G9UhPd2Ipb rx5ZAmbtYvtTCjTRx6il+HK/ZRDjbncyMFETmRqvGc2/WQH/WBXNLr3WROFn 5NhB5QpwSl4yP/hKE301/z4gNrYCDtQ9slyM0kTknGxvd9lV0C/03t7ukSaa 8hE56J++Co7l/OeoG6CJLBok5jmqV0EOpn1d2A+Pt7W9RmxkFTy4WX+77b4m 4oyVPvBdbA1IlU17Yjc10Vlx7vXJ8DXw5HS+j7iTJkpo97e5/n4NLI/5PFh3 0ER1O4yydnANVHNyPs69pIn6PSaoJUtrwMlWNUrKXBMl1bzpWjlNBS3L1Odb pproj+q5BKITFRwIhdG9JpqI8YnMxVpfKmDNNY9/fkwT+b9W97/4ngo+7rqX TndAE0mt25mXL1HBwXPZzPGamqhZQ81xgJEG6tJHbmioayKv3Y2XTYVoYNjI XMVBURPtvnzwq5QODbjEhz7bkNVEY0dMfR+doIHNmYqllwRNRDcGd2na0IBg lEphtRjenxwLnweeNJBOcRS+JKyJoixmhAWDaUBDI8lnlV8TpSv1tmy8oIGK R52DEbx4fq0fmJXf0IBpFzuQ5dJEQSRuzYwsGuiX1U/9zq6JYlaoLbcKaOC6 pzeDJQve3/8CL/tW0MAj0an6EDpNdEz6cJhHGw3w3JZUkvxHQokFm+fse2kg +btlRNFfEkoghtyNodCAEnfU/GkqCcV+d4zknqCBYrta86llEnLu97jUMUsD x/O38gMXSMj26Gri4CINdDBoCYjMkZCBmiuv6hoN2J2/5Zk3RUJVmwPhdes0 8Ccjrc/kN27/8hPy+00a8FnvOzw6QkKtp/bNNv2jAdYTvG98yCSU+WQw7uAO DbxKNKbbM0BC174Kds3iMuFPgMPHXySUy/s97jcu5+oV1RzrIqHPf4TGZHH5 yPN5ucE2Eip/1l2Rg9trHJF94v6ThJr72XR9cH/WmpdnORtJyDVExT0Kj2ci KObU+zoSiqaJP5lepYF7PU1fjlST0GKR4PuneD50Cgx8PZCEbkSUbLjj+UZ5 67i7lJOQqhJ97fvfNCDWdLeHuYSE/oYbG0ng9coUzzr49huuP6z7k/yLBrRd hhMO5JPQa7nx7MlWGqiGQv9aP5OQnGWM7qF6GjDnPX3lxkcS6tu/ONH5nQbI DiGVdJkkxNk8Klj8lQbWmdaCNVJJ6Jvv43HbZBoIsdo39SOZhDKS9YMJ+Dzs ybp6wiGBhLqaPudpBNGAqmkHV3Q0CYmnVezef4MGypPZ7io/JyH+1daHShdo wGQB66yOICHNNRt2FxMacHz5JW41mITaa6J0RuVp+PM08TfiEQnlkQWv8wvS QMB+iUuyAXi/0mrz4hhoIKE3QsrSC89nI4/+1SAVKCjVPJp3x89/yv3kaaCC b76b4yF3SeiMmbjeSD4VtEk4ZxU5k1B6fOLS4xAqYLpmRBK5TEISTUu2f2Sp oMNWw2r2Aj4vu5dWx3dTwRtrMb/vlnj/YoUDzdbWgLbpQq29OQk5Mt+77FuF P8+acReyj5EQhzE9tLZcAw27JgMPK5GQ9vdkBeFrqyBms+39bnncXpro3S8G q8BurbSRQiShmO63ZY3EVfB3Koo/aC8JEUPtI18OrwClNu3MZh4SmtG8+TnC YgVEvAlpvUzTQIwvXl51kl8G1q9dV9VWNVA2KbJ3bGcJyLy0EaFf0kA+P/yO bP1aAt+DVa9mzGgghTd2CoyhS2D+dg91fkgDvRb6/DJ5eBGYH5aTCKzRQPSy QX49zAtgT2/t7bQXGui5uGd8oPw0QMqpYUFRGkjdOsCwun4K3A7wS3d6qoHY zz7PzL0+BerkNAeVgnH/5fPEhIxJ4HM/5eRXLw10/v6xOi7pCTDK56tUc0UD 0X1Xv/2dYwzkn1Kf+q2igUgeModo6X3gSioHY4OSBmpyki1LIPcCzrUJyWx5 DWTAofXwsXAvcEpKtnKR1kBn+t5P6kf2ANFZ9noqvwbSM1j5ecK3EzwK+/2e ZUsd5ZdV8m5TGsHZ6oSrio3qiK7/t7rr3Bsg0zVOrq9TRyl7Pt7jYIkG1HFV G6dqdRSotPE6g+wH4pmrzd+VqyN0316ZSngOh01mj+z9guvz88IXg5/hf22H hXlj1NG6s/ARoYAqqDcSHP3luTpS+H76i1RDNeRZbuUyi1RHg6HcHrd318KC PY5MT0NwfTXrPS8i6uGGZcQyozduf33h86OLzTBsaLB5/TJun9esUvJ1B7SZ lzOOs1FHDVlTFg/FOuG+Hdfq/VbqaHjf3pKEpE7YKsVU6maujmpkN7eH4rqg oKPKhzl9dbR82OAdh1sPnHL3JDwF6sh2+5bi89EeWBJcmayoq4584jTOppr/ gpc+nI9x2o/blz67c162F76befBwWF4dqcuMKYXk9kH3zfotfxl1RNpPcprj 7IeGnHxee6XVUYSgoUCZUz+cUclwsRHFZaZLow/5BmC53uL0uqA6SmgkW7g5 DsDI0zrX4vaoox6fgPGyrwNQ/W7LxS5OdTT66qq56YlBSP9I+JcbmzrS63l7 L+LFIOx66XCWl1kdcQYf1BfuGYTzN/68SNpWQ8/nvaqYrYbgi/CHYX00NeQ3 aJt/NXoIauUIBAguqSHV/6400v0cgr4LR24/H1NDCpYMxksHyDDJ/sAUNqSG 3OlHijmcyLC8U91xqUcNSdlzLhS/IMOh40rDqW1qqOv8lwO0UjLcLiJeOtuo hhhDVNZrRshQUmlvL32NGqoy1/osxUyBWJKgxdfvami+68cCqwIF2nPxtF0t UkNbjBdv+RlR4KNANlP+PDXUUN8w6e1Ige+W6RtqstXQuqy7AV0ABdY4bh27 n47H89jEmyuOAn/3rEHZN2rIa7wx9l0OBTKbLBzuiVNDi0dE6iogBcqXTRWF vFBDBW1bxlfaKNBYZVTzwFM1pP9szjuITIE33w58mQxSQz2R/M0qMxQYztut /NpfDbn4XWyyWaHAj49bPhh7qaHPStfFOTYosHmtnvj3rhqyEEjx09umwD/X K99m3VJDuv80q1Z3KJCrv1TM5poayg0VGlTBZTXTgjj2K2pIaYq5Y3qTAs0r Pu0ps8b9RwfXKFAp8K76h2e3zqoh5s3BuZk/FPgyLYVD3FQNvbYQTVYfo8Cv /AmhzcfVkM11DmyjmwK7QqIZHgA1FHVN54JxHQWurUcEqBzC69syFSRWQIGC t0I2h0hqiHSJzcv9LQUeGArwjNqH+6MdpLMIo0Dr094renJ4/UoLGcpcKNC7 0u3OgiTez382D7PPUmCC5u3ZtyJqCHOOfE7UosCy99eum+9RQ+UEHXv5PRQ4 KHRljG63GkqfrT1ctECGEltnBuzp1NDoVbHswFQyBC4nrfg2VBEz4aXxdw8y tBs26KxaUUUdtUTmCBMyTKs50EScVEVvzt/anpgcgtXaGkZdw6pISfYYk+fX ITieqVQd1K+KxDvPVaf4DUG5yL1lv3/i+m+LGBtZhmDWeYaPHwpU0WjUpOK3 XYOwsX5LzvqzKvJLW2g9VzoAZw5R01gzVZH6CdDx1nUA7pOYTriZqIrY+Tu8 T/b0w9yJlnDlR6ooJbLlkFFIH2y3bmAe9FVFXUfNGDP29cHlxspHEfdVkQL7 dmxTWy/U+lLg8+eGKupHHe7efL2w2DPB+ctpVbQh7OT9w7cHEhzvvu81VkU6 lwYsS1h6YKS58fAufVWUm6R5T+NFN3RQpJ630FJFqsKT+9qSuiDHwJmjf4VV EeeFF9pOcR3QVo9N+NioCrIbq/odotcMG5SGz94eUEGsGWpam5xNkCRUFPmq SwVZzDweM/z1A7IsOjJM1eHy9zHF5Cv1MDcVzUd8VEFazv58Q1gVZGDyqu1x V0GBnRuxSyc/QZclMzo6FxWEyQaE58V9gL1DsocVr6ug5xLBZ3N6UmFOYWeu 7wVc/00PFvg9DFreUEuS0lNB5pbPklFOKshsmnBzZlFBjc8aT17+hYDZy/NS 2/H7UO41789B0d3Ah8RtYhS9DwUGv7Usvd4DMjoa7j6P2IfsKtmlL+n+Att8 utWEgH2Iv2gwo2KiF3yKJjgZOe5DZPnj9ut6g4Dz1cLH56r7kHoSZ46/zwho jHtygFitjDyEHGZTRKcA9cAxu9vlymi0ZcH5yqMpQOjdCvv2TRltT8szVkxP AR9h136jTGXU0itiYVI0DRTjLR/cjlRGh80dpERPzYKwBGL1NytlFDtWf6H6 yjwwSv5uZjynhKx6NVjgrmWwGDm4xTihhC7a6vBkKCyDBP/N7EqKEnJVlPBV PL0M5q4cYjncqYTenP0cvZOwDF4SvkGVUiXEwH/DC6msAN09Xf/NfFVC/B3O Eg5nVsBvhhWxD5+UUPVf34YY9xVw8Le6l1SqEnLT9Wn4ULICyB9y1PeEKSF7 nbAfV/RWQdjrJjK+mSHqEc0aR9tVoPFkJiLCVwk9efDPffHBKghyVphmuqOE euFxhbiyVaCkkp66fl4JeQuZKu3SWANde6tPfzuthEhBl9nFTq2BB1yj/+6a KCH98FLf/BtroG1B0mZWVwnZmksMnX+zBjzyE/nIRCXkeBfon2WgAql3pShh rxLKDvigoStGBT+i+1yshJRQozTbz0QSFYjfF2pqY1dC+3KBV/EVKqi7pu0d yaiEViK//bx3nwruWJ6XP7GtiJ52edqkhlNB1YHox9VLikgk6MPw6a9UcFsh XyNwVhHxXJE/2VpHBQIi7RTd34r4+0q+9XsfFdzY4NIt7FVE0hey9H//owKu 7+GrmVARiaYEzZwAOG98ykq7VqKIcgRUdqub0YD9mwZzwldF5BXSKhJwiQYK Apg/JWYoIjJdaK01zk+2rrIXrVMUUaeV+eXRxzTAYm/AJpCgiJJtQto6n9GA jf6ja1GRiggLTvCZe08DjJqpe06GKqITLE29fLk08ImIKlkeKqKT2gL2b0to wJKfcqfGRxEVtnV/e1GF8wDT9t6H7opoOPdMwHQjDWSviTcfcVFEZxVLbmV0 0MC5icM+G9cV0S55ZbWGPhrY6rFRKLJXRE4ixY/Nhmkgo967595FRXQ8xVHx EM5T8SSPY1kWiuiXp5jDCs4XEcluueRTikhVYp6JivNHAOudvfxGiijtstAA hvOU271b4SaYInKwEcntxPnlGvk6zf+QIlL6CS9+/j/fmDg6FpAUkTlZ+nsb zj8nCuzap5UV0ZHUd2U6/+cjyct6krK4fXWa4Rwuq4df+GghoYjUbuy1+j9P EdbOC4cLKSKL405z/+cpAbuzwZAH7wfFlfvz//msyWx5lU0R0TEptz/A/W3u P3lFiUERXfBtO/EKj2c+xaj5ypYCOtM7nbyK89QIh8GhV2sKyHTXydVEPJ8u DyyjcV4BvTHmDXyK51s/oruHbkoBfVZO9a3GearU9FDg/hEFVJT3TtEA56lP Rfv/OPcrIJlbDN27cT5NIZBsUjoVUA3vdJsUzq/Rkar13c0KaPVHkdcDnKdC 1pW0OOoUEIWRTV0G591bLUQuj2Jcfzsi6AzOx7aHpHw/5ikg86lfvH04T5mn i08NZysg677GqBycp7R9BKpOJiuglo4DLw7h86T4m1ftYawCUrfMMlrFeUrc nCup8JkCyhRNP/0P5yl6ORYP6UcKiIX3Cte/QzSw9pxhzNJXATGcF9VeU6CB qc2d0xHuCqjuisELPSEaaGlfV6Q5KaB9IvmiDUtUEP9gZqj5pAKie2Re3vKG CiKmJk7QH1dAxoNu4TfCqMD/3FjRAT0FlJxMqre5SwWOioMv0tQVUPhrszLT o1Sg3v3zuJeAAnrG9M4juG8NELHG/E9cCmjoqcx/uyrWgODHOskxFgVk8J15 kZy6BrYC4d9TG/LoSWrS1+rra6B+X94nIkUeCbgy3Lgwtwpsg2IEWjPlURMy iF/rWwEtgMrilSaPChJydn8oWgFg02pDKkkeJWvUVI3GrAApNzGK2zN5VL26 ++b2qRUweiUtU9BDHtUlSv/9U7oMnA7nHrY9Jo8YWHvWqYFLwGW5yf7PkBwq MJtyinrxB5A/qVjE/pJDgSYf2G/v/wNO33xmCNrlkPazb8s1vXNAffis8osa ObRYxy1N2zsHln/2rWp9lEOVq6kMNWkzwCNrMtTPSw6tFxhMGcZPAn87hs8c e+RQqa0kz5jFCMhtNYrq4pRDTD7Hzj1cGgajehEuycxyiFeF30cwahgY7hVQ U9uQRTe22iduRFEAV79c7tkRWeT+g0PH/N4geHPuRH78F1m0XP431Pl4D4CG LwrlTWVRnaBKt+uDGrD8rTt28bgsiggb5lFhrQYysqKeJUAWFR4Njk6MqQRh DO8OnNSURQfLvgxGXfsOzFFBsYuoLHJVM7z8nSMfDB/qLf02JYMCLfxrRduj IF+WeKL/qAzCzKU5jzAnQANhe1+jQRnEczzUvs0oDWZSpw/3tcogu999nLS8 HOj6dbN8qxDXfzR6au5hMaRTkYTHgmXQ4sFjV8YHa6Gf4FHbYH8ZxLro3Mst Vg9pOw7/6jxlkGOE367L5xvgfEfG4RPOMmiq6lOpTEUjHPBSLTY/LYM4teV4 5m1boaWDudVLYxmU5NTGfV6vDXacdKN2HpVBrucfJHI1tcEGiUItKy0ZxL+e arU51A4La47kXRaRQa+l64L4pjsh6fMV87d8MiisYVGG6NQFP8U9XBjmkEH6 3U/Zh4e7YLpzrYrjNhFpFYusGLd2w5c8p7Kdx4jIrmz3oePPfkGuDReTnEEi Wh59aCr79xd8MvZ86k83ES12vaJ/YtcLAwu75O42EPHvianAD/k++N+lS+88 8Zd4A1uneX5cP5w67q9fkkFEXNLB6vv/9ENHtZSRjbdE1F8pIimKDUAb+nFJ /5e4fZJo5ObQAOyZZYLwKREJP3nOtqQwCM90y9vuCiYipGz2TOfuIDTOvJUU 5ElEhgv1/8r/DsKaF5GH61yJiJ8c0rNwaAgC3y/9LM5ERJf267Wz5xDUNlsR fnqJiCq2LuxWmRmC+QcEipvPE9GbA90ZdyTJUEX6gBXXafz+wy/rC2fIUGbV 59WLo7h/34tzKZ/JMGUoSatTh4gywi65/uwlQ7H6ik5+LSIqVD5xV42OAmNz h90sVYhIXemaWq0MBfIl0PO9liOixpDv7JGGFBj5WCavT5KI5v8aPA6+RoGs /xmai4kQEc4qBz89pMAgyxsLl/iI6JLf/Vn6RArcAeFRbzjwei1t+QTnUaCP Yo7KMCNeb+Onk5q1FEjla2mW3iagsP22Z3b34PyytXDrKo2ApiQm1nnGKXDu Ny/H+0X8/H2Lnt4CBd5o1cyemCagwm9M6TE0ChwrPm+iMEZApvsqf+z5R4G2 aZ5TNwcJyIzz8d0ynJf6n8aHfuwmILfj4g+e4nJnrVSOXSsBeZC+hLds4fy1 86FN4AcB5ffsOfAat1d7SG2tsYqA9tGPfpvC/VXcKxQJLCcgKpPKOfSbAos+ HdHbX0hACtWB9yT7KDB3ssZh5gsBva4fimZupMAsadPQt1kE9NyrwMSjmALT LnZ+tHiHx3+Son8nnQITX9m0sSUT0NndSceXIykwpnVktSKWgOoOBKnT3cfr y3ZTxP05AV2yDNqIv0CBIccWjyiGExCjT0c+OkyBAQ88HciPCSimfCzwvhgF ehVth0Q/ICClLrv0knUydFbe3fbPFc/PfN1h7SMZXr0Ws5rvTEA1hstrCw/J 8NJbMZEbjni+nX9/BpwnQ7M9Sg4dVgRUzhlm4LQ2BI1O5YWEniEgn8+mCahy CGKhBz/qniQgHXaPd0VPhyBp03A1Q4+ADBo29IOEh6Dy/hbhSwcJaJ2Qccp2 YBDK3Dl/hJdEQARepdWhxEEoOHY1xFeWgJgFNLd/CQzCzcZAYXNOvF5cm/d3 zffDVUbWI0zMBJR2/ajy2Tf9cF7vmX3pjjQyCPyUbmvaD4fzk7NlVqRRkAz+ uUjtgzUJpbp/+6QRT/e4SINGL/zeddT+c6c0OqFk/Mii7Rcs5PoRfPWnNPKa 77lbfPsXzHz0q+UnkkYZNslXBd/2wAjnVbu0D9KIdX5ffOJMFwxO9w22SpVG Oc6vPlp4dUF/Mn02Z6I0SjfRt2Vm7IKuZ3lXPKKk0fqXc9+uCXRCCx3V4JP3 pdF4cPJSrFQ7FGe/kbWqL420AlTOaZT+gLYVzREEXWnkasFZ1BvYAFPdNFzN 90sjdV5yjc+xeig3sKGdI4/Ll7aKp8proFpOZM1VTjyee5mDAowQ6pt9pXR0 SyGeNWHToqep8ObLbYG8G1Jo41vYZgFnDbi1X4lpQFwS0TXpLNjdHgVuTCUf PLgl0d4eWCb3axT4dBud4KOXRLsGEvOaj46B8PvXnplMSqAgWey/DMFxkP0t RaQ4TwJxnPfv4qr4Dab3C6m+MpRA/7FdXMrcmQKLTBlt6ockUJ9D6vRxp2mw 3q11r1lZAm3cnA32bp4GrB5nixl4JRBpgfnHy7gZoFAYqe82sBfdv/DXiVdh DlzXZrQ67boX9QpQKK6qC8CFOfrvjMNeRDP6ve0csQA8eqSTQs7vRflXTbsL pxdAiAcY+a6zF5XyPcwRObMIMgp9bu1j2osetVtlyjMtgd/aSwFsCeIoxpv3 V/cFnJ+YAwnvI8RR7+kDee6PlsFqD1ctFiCOuPbTvidnLwNGz33sXo7iqHmD fCv07zKQKboeM6Eqjpi8ppSevFgBVw+QM6urxdDP8SdrvZmrwCnzgKVhkRgq HfzGq1C/CpxFXjD8yBZDmdfaEzbGV4Hr5jHblhdiyEPpw3+ykmvAD2bt6bsi hsxElr3uRa6BAHWGyovnxNBFv1Y9+GENPEq95EI2FEOrBPbx4Mo1EPaY+8eY Cn7fMXg8YGUNxBjd95/fFEXbZZLBnGeoIK64Rfnugigy7lCf4b9OBQmKCn0r o6LodaDB7+d+VJDCMaD594coWg1luDz8ngre+WmN+H4XRbPdi4b5JVSQ8Scy ajtXFMls3UtdbaaCT63YNMNrUaQj+aWiHt8Hc7GE2JCnoqjtmaOoFQPON3kr x9gCRJHc7WJhC358P47OeMPlJIrszlnfjtGige+MdKYvLogiJZaDoT3HaOD/ jd1zShSN351ufXyWBuqsOC1EtETRfaJwwV4XGvjRcG1Xkrwokuj212fzpYHm Q/CzhJgogmdjxi+H0kCHmBubDL0ocr39LQx7QwPdEU2FGWsiKIWY/vFnJg30 /pNxVJwWQZqXeGSq8mmAQvlVodomgsr9dmIpNTQwaq5xO69aBJmJTw6z/KSB icpwEa0iEaTrJC4Z20UD06TxusJsEfRIkMoSPkADc++OuB96I4Jiwj5ajY3Q wAJ/nHT5C1zf1KotdZIGloMXW/SCRRD9w7+Haufw/Zpq4lfpJYLk1r0dTi3R wPp1nBNui6BN8ey9OjgfbfZu9dRdEUGZ7wyPP8V5ZNvEMsjknAhS3V4vxnBe 2VX2RaPZUATlxlnb2uA8w7iPjWKmI4JGu2elerdxXkx2iGhXwc+HFZZLcP5h 5yo/ZCEtglbUPH7s4DJXgMBkD78IMqUopWfhMu+iS8wFVhHE0xAVXITf57dv ODq4KYzM7fs9FHH7wh3SC7YLwmj+mnbozgYNiB3zTRoZFUb9WFnTITw+iYIu E8ceYeQIXK/04rwkLatKm/ghjMqfnLg6gPOSTGxo+s3vwihtRHlbH89fnmXk zFyuMLKSH7nEjddHyUtnxyVdGHWnS+VjeP3QkJnSWKwwqlrwPnK8H+fXY1fP Wz0RRg+5tTeicT6dy/QMbPIVRkkfIzEVnF8fcUV8BC7CKPdJvytvJR6ve0rP Vzth5KIbvYIV0cDnvoJdCueEUfR9w0PlOTTQlz5kxXNQGBkAjfW4VzTgwr78 KEhJGDUmt/r8DcPr6cr8eV1cGI3pKHVm4vOlfliNcWSXMHK43X9nxRafx5Rj audXhVA8351/z07TwCVma5sfE0KI8aLaih/O+2Htgbl5TUKoQ/AO3cm9eH0O vBqQrRBCun9EUlQ48OchKYs5IVcImSbsL766TgXD1zsuPXolhNILLxb9bKOC A9tEtnNXhNBjUYVr+d5U0Hz1oFb9GSFkTMxnOuFABQ4/TK8cNhBCJOLrL7on qCAq5v43oqIQohmqeRwQpoIJpXr71WVBJOA5VpuWg78/ng9E3PgtiAb5Q91J z9cAH3WhaPCXIBre3nwld28N6FUKc9WWC6KgUxW3jx5YA6+snEtfhQgiRsFd T64XrwKDoN17DogKIldzcZPytyugf1pa7yOnIErPfkM74rMCXE9r35TcEUAL YR8YdS1WQKLoFcgyLoBSevO4C5hXwHJu7q3eTwIov4BpV+21ZZA6dK7G+6gA MrqNOJm4lgBpnLTRpSWAGgXn82THF0HNDK+6uoIA6pO89PBPySKYoLUmTnAJ IG27vEPejotAic/03rlBfpR78Bqn3a0FkG9oQFDx5EePGpnodGLmQM0XrcDh nD2o5Il4OvHZBDhfuKfwcMoeRHjcvkO/bwJMlC/PxkbvQcfDRPLSG34D1sZc q1M+e1Bt+ny83q7f4NT4PrVSoz3ILtI09ZDrGOgRliVHj/KhyIKl4lLjYTD5 UEDXSJgPLT95ubmx3QnYH3xZiGbnQ1HGH1WX5TuBqpfJu+EtXjQfZ8wVeKYD eLg8YPcZ4UWXnt8XDc1oA8wXf/fmZPOi9P0VJz7kNwIZrW/3+Y7wohv5/Z3G WWXAWO204hU1/Pz0vYzFoGJwW2l68KM0L+q9/NTZ8to3UCC11+A4My9C8W+P DN78DI7tDubzauVBw3K8X3cnhAGHCYsvQ/Y8yPWTtOR3/gIYMjLvoGTBg6yN 2vVfDhbC7MEwQU9DHlR82THlQXIJXO4of8CjzIOeN/6SFWSHkD7A5HXIFDc6 OAH0/6utgSfuP9iR/MmNFFgXS9Y46uCLW3lOJXncaHz/kdoIs3ooZS2yf86H GzWrHkv/WP8DAo3p9jO7uZG520tT0bAWGCK/99DsEheasrScefypFbbsPZMS 1MOFRI3onx+/3gZt2Utcit5yoYSrVnVvHrZDv7Ewjr0kXP9mKzaR0Alr+srd CgW5UKHG/YbLYl2Qs22x7/TmbqRnGsnuFt8FE8utMx/V7EbDdEoVF6K6Yekr heNTlrvR+mKo9FObX5D14uTVXbq7keq50yNWtb+gpVTGI1Hp3Sgj2nPzk0ov XM4mItNZTmS48W12jNoLMddR8rU2ThTE9pRcatUHo/an/vP/xomsTd5dYyvs g4pI4nBeACdaPtn5bsu5H3oED11odORETmo1l+Ir+2HNiSSvMRNOZD7B+DlZ YADadYsUCvBzIh2uBtuWbwPw9Qy/hk8mB6qq/HvxTs8gnPjSeTo6kgM9T4j8 b1JoCGrdf+mS48aB3Dlms3Ish2DrDncOWZcDJTXfz97TPATFa1saadIcyO0l H8ilx/fv8MhpHhYOZBHw8u0zbTJkFuCQP9bOjroSOEp2x5KhRf+P45cK2dHt Ai2dzEoyTHsb5ng/kR1detAm9GCGDBcdjR5HBbIj/V/yQeE8FKinxJz24Ro7 SghcbGvRpMCIhRqETuD3Be3uGFvgfFPwmNKnxo7K844srt2lQAUf/e1lfnbE KLXM0BNBgffBrr2cG2yIuTDWZxLnjypGdFiWwoZ0yukNFEspkKfR30avhg1Z u/+6k9CM89OzI95WWWzodlG4is4gBeZYbMW5RrGheWXXZpZpCtwQKSt8co8N xe6pLKNfoUBjind3mjWun5sWrrSB82P6wdWyI2xoFVOe8t+mwPGbNL5uAhuS ir72bgfnL5JaocY8CxuaUjn3MQc/D1x1N2f5w4rceP9wheD3W0o070h1sKK2 3cR/T3H7YgHLkYeKWNG+3L6aCtz/DYO8nLNJrKiibqJLYogCC9lcm249ZEVe vpzlOT8pkLFVdSbIiRUVM60o3Cyj4GvIH9Y3J1mR+YrUjEUGBaZcyJEvUsft sS3/cY2iwHmJW4ZtAqxoqyxCv+IeBeqOK16b3mBBzkd7BPQsKTA8a+ox/TAL MtO59m1pPwX2unxIE6tlQVFUt6h+PgqU03Kq1Mpmwee5SWVjjgwrK8a2ndxZ UOOrf8/GX5MhV1Da3sALLIj/+Ae2r844f5nY68brsaAGed4ieIgM1zvJ3k2s LMih/4xbUusQNIxPfj3+hxm99LRWvxs7BGNsLxX962BGuhSTR5E2Q1B9um9V LZkZKb27++pD/yB0X1RRFApiRnP/5QNznLeKaQ8vbzszI8eCFo/0C4PwKLNS XfNBZlSgE1d2oXUAniX6xN3sYkIK57Wnjr3th7FKLU3mZUwoLO5nSsypfjig QaA7mMaE9snRvfzwtw86Yo03mF2ZkLHVrJj0yT54/7KozjsOJmSw3f2oqvMX LHV0cQlfZkQ2f/tFglx/we1bVWl3+xiResZPIRmOXzDEx5kD+8CIODlpK1w6 PfB1XOngoD4jGvypc5U+oAuWttsECPowoKRB9XnNrDa43fv56z87BjScnMc0 KNsG9Yfpp8aNGJC1098Ii6OtsGk+2/yrAAMKS7ualij9Ew5ybEqb59GjlB2T xCdFDXDneGLNk6ld6LVLFgcxuAIalA6w/bOkQ70L/909dPED+Jz9/lD9YTpk /ePPUNmdT0A48c7NF1J0qI078P2R+jzQQ2N+ebJrB7IGLcLG1SIg62vJk7yx DV0KoXncsSpQ9XCNEzP6Bx9FXhAL1WoFW1GazCHDf6EeMeSVGPMQaLtTf000 +y/sVmqxT6YMgXfmF2s/3/sLdzpb6w+UkMEJvsdBv5j/QqzIJ9hIexjEv+qg V1RZh+LBjxhspkeAdtLdnSZvKnTqCzWSOvEbuGZ9WefdswIb/+s5qNs1C9S5 XB7rDy/DcSlLtdukObDkto/r3qdliBdIVvr5HHDTzSJ2GS1DY56DZzhO/AH3 W9PMYv2WYJikWpRP0TxYmVE22d+8AK8/lhDoLF0E7gWZtrFOCzC8GAs7/HsR UB/IutPoFuDB67aGJ7iXwDqP5NuS/fPQJTuR2cJhCWxp860deTsH4+/mi8wy LAPmx+sphm7TkK9dwqxBcwWEmt4v/MA5Dbcbw1d6rFYAq+ByE+uHKSgS0a91 z3cFsGfNUhsHJiGb7ZEVs8oVwN1KNj19fAIGOJJ0/jNaBc9fX3TIpfyGyxuf faqurwI+h15PXp/fMKWqLyUhdBXwr7WndX4eh/rUjDcttatAWKx23Up4DKYI RfkRdddA/PhRrpL8UbhlVjb+n/UaEP1cQRQ9NQoNtUOLNNzXwN6jxWaDD0dg WKqFvnT2GjjWYmlS2UOBwyPkt4+4qcDQ3tz9MQcFJproz/rIU4Hxqsnb4xgZ bu864j2uRwWmokfWfmQNQpvL2vkst6nA0omY2uHXB132NSt7QCoIv3sv7OW3 Xqja9Kc1oIMKvvtV3zk7/wsOyO5t/DtOBTLRV/U6rvRAFv2Gv4dZacD6zVfZ l6+7IfPxkD56ERp4msWw+2x7FwSeY1cPKOK8At8NtOt3wuHWWrZJIxqQa1qp euHbAfljyZt2ljRwoedY9pmCdti/+8dxQ0d8X58b82rHnxvbzn9N5v40MLVw HRG+t8Am/RGO++E0cJqZ9Vma6k8Ysr8jmz4W34c1jfel8Tbi36Hsk9YfaSDY ZGpD+nEDjIr/4S/5Dd/vr4T9SF2tg+KLt++ZVdDAOQ+F19JOtXBQ9mXbeB3O jxENTqm/qmFHyT/90RacN97d2C9tUgXVzfQeGPbg+3cJK2NqKYKrsV8O8A7R APntmfdHrSvgcZ4H6vpjNPCp+YX+0cNlMMwvXblvigZ8/7ZTMIliuKG4vtz9 hwZM5PgeYLu+wd4dKcuDyzQgdO6sKDaeB8lnU5ToqDTQtCNzJyDqE1R/2H5S 5S8N3LjwPsvf4gN8cH42AeJ8xvhVdvyBaCp01ti1U4jzEyZiemQDvYISOwzX 9uC8tfg63nEp/hHcNVMFu3DZjz6m1vDgTRBLnmXZxGXVhKv1/NrPgEs7h24I LpNF8uY5uJMA6WeUnQfOZ+c0e8tDjqaDn/UwoGmLBgr7rB6F+maDVL2GrGCc z3ajWWKNTS6YiP+ymk6jARD9MaTG8ytQsLLxU8T57K7TremamEIwsRHmsAfn s7RDyqa1eSXA80dPi8MsDXRxzn6ubSkHMkbF80ITNMA8nM1bNwtBbID3GmmY BpIu7Ne5GlQJ0vl1xQv6aGD/sVe3xviqQSz/Wmoizmct+9aSrqbWgPk456b/ /79IR/dt52pFPdCbyDxUVkID8dP8GuOmP0BHxIYMyKUBUqe7g+NAI/gjyb9L OYMGHDO0ah3XfwLb5+LCus9p4N+zGOp4SCuIjUuVdwjC66+7EZ0f3gZiO/ja lzxxfTmbWpJIB1jl+NB3+jLOa2LsZLfhDtCN5nQkcT77x11Kzf/QCSLMbXRs MBqI/SuioKndDfIMR88LSNNAfXNfuOa5XuDGYcCSN0AFN7z66y8q94FzVUjI vJ4KWGUGGIMY+kFNeme0YT4VnPAd9O/6OgA+3xOKPRKC85kixe0+PwXQ63r0 3JGjgtvdlC/JcxTQmChAmOCkghDMlergMAz2JpXIly+vAfk5V82nOiNgcYHK G1G+Bm4cc/s0MDMK7DuSqoaM18DB+OWmBcsxUKp6mtNdaQ2wLrjNMFSPgfE7 IvLuHGsgK+Ge/L7EcXD6NsfloqZVMLPknup3cgK4pSABt+Or4HaK56u9OdNg 4qfgErfkCtCl0r5qCM+AesdFIRptGXCaenUcD5oBPJf3S9m3LYNPNC9ul0uz wG6ndKomYBnMm/k8qeD8A9BTsT3bvUug2L+i4ov2ItD9OPBwyGMR6KhU5pvH rYATla45S4MzYH9XT2zFjxWQafy8bejBDFD3nfPZt7UCjok+K7OXmAFyP4SO sdqvAsMr+8uB7TTYc82lE+J5NTLV8H/vmwRzSWKrqhVUoD+zcHZ39Th4y+mx f/fvv2C2xmaTYXUQJHx9KuIrtAE41POuxykNglib1H9TJhvA6J7etLn9AIjI bK6t+bwB4KddN8639gEvA6Kln9cmkFFMfOz/uQec9WvzmOX4BySunv4kHNgG 6D0EBh1F6LAar+ZTybH5wMYuu6NYiw5re/UxmovpC8g/AX5wmtNh5tc8W4mT mcBB8mZhQQgdtth2l2QbGw+qGsqfM67SYXbCX0a5ml7Bx2KOx9NbdmF02qFf 9tPK4CDT38Pr07uwwDcHvwpnVUCtxUiSKRM9FsZTqDicheB4TZHk6mF6bOs+ 9Z2rSTU0cOHYOJZFj9lVXxSIsGmAjJX5n8ceM2Bp4WFj/wba4KWPRu8PvGXA ZMqOLPPfaIcFrwYTn5YyYKueSn6zS+3Q0Zn5ieYSAyYcGr3xfbsD1u6xufrY lhEbdjc5fXqrC0psz1/45c2Iie/oqBXf74YeU4/NlV8xYpz95/Xy5rqh3PdP Rzqb8POnr8/rdfbAEKddwsRDTFhdKTlH81EvJJvHcnlaMGF2aVLBEZO9UPuw MlPTHSbMLOa1zakTfXCC+/yyWwYTFpNqLLrG0g/1Nqan6iqZMINe1yudDvi+ N+5PER1iwhbV+K1Zy/qhYUlmc9UeZsytduE/p6sD8M27I9WCasyYelAAOfTr AKRGdpQ4n2DG+FdeZi3SDcIMh60MvofMWAgb79nw6EG4bfoi2SmJGTMW6wws 6B2ElgfkYkqLmDHWjwKfhMWGIAun+UOHeWZMzrCG4XHcELSWt0HabCzY3MDW uE/bEMzWd9xhl2HBLMS7npcxk+HWZRc9ih4LZkiQeq+vQ4Zm3l4Pvl5gwfwy LpF33yLDlJhH5aHuLJjC/RohsXgyXP4SsXnxGQvW/OTmyRs1ZBg7keLNWMuC 9T9xkSnD9/OpXR+LeyksWNX5Oevv+P6us/cbLWeDBcsZYMtYP4/z1EGo/VCA FdsWMkq9he//5HM/7p9XZ8UajO/s8ON8oH6ns0DxJCtW7PMhZuU9BT4KH1r5 d40VC/zma8GM80XX+0lSRyArxlk/c8YU5w+5yqW7GYmsGPMnV1iD85PX4Gau TyErppfEveCC80sjjWnRrJ0Vc39vdfYEzjfie3jUiHOsmDntto8lzj8uqqIu NGY2jPSdUzga5yNkIvOpSZoNe53wfPP//MR3TXXurS4bxl69yJ+MnzsGHlR2 t2LDHD/X3HPG7xcm6jsbu7FhXjf1jW7g9lmLTLPEI9kw4ce65Fjcv02H5dTi B9zeK4kP1P/z3R87+doqNmzx9pRaGB7/Nustp/ghNiz/h7ycKZ6fucz99/+t s2FKlYuWx3B+SgMB40f3sGOjpV2fXfD6rNo8IQqqsmOMnL2HWvH6HfeIdpgx Zsd4NJyITjg/xb5ITq24yo7ZZBgUamnj/cj5MPzSnx1bvxJ0SXcP3o+GPMnr 8ezY55G7b/3/kGHEWJnt4QJ2LI32WP4f3k/ydm0ydys79ojHpLwE77e6aNvg 2DQ7xqpzzqAQn4cu83GbCEkO7Ow97queLGQod3s+3k6HA/OLULfH2oegV+h6 r9Z5Dox09Jj02dc4r1dwWg2Fc2AvZVuYbSSGoKPy/nOqVA6M+oowYcw+CAsN wUt6Xk7MRupzYnrFAGR1MGnvUebE/JRqHexcB2DO68unA+w5sbTUGQbm5n64 yhRysq2ZEytQkGe/69gHDaWfh6dPcmLFnIdXNRn74GvdhB9e9Lsxdib6t/dT e6Huvc9G0gd3YzazzTkhXb/g4+GeY27vdmO3d6usX9nbA8klJ//zKt+NJSWm h97P64Y60SjWv3s35sOr+v3BsW64eDx7OpyFCyP/PbTtYd8FbT8+ePbuFhem EFzqGBrcAXU8ZAa6NLmxS0ZSVk7jzTD2dDzjgCk39poSnqHc2gSXFLhUR65x Y1ORfh9dChth5gAt8E8cNyY1rzX22qcBCh5tkmPe4sYc07ZL8/ur4V+mQyVi DjzYet0ZdkHWApjhtvLzjQsPJsXF1bfqmQctKJ9GpX15sJTggNywmk8wt5jA qRDDg7WtnIvYf+oddLrFeUWrjgeja+3Xjl90BV1tFMZTSrwYYj6/+79LRSA3 McTcf5kXC9QWWbb70g6a9oRMctPxYacdewRPPu4AE0+D/VN382Fk557bbVad QNwvKKdGgQ+renXLNYS+G4RdesTKcYUP61jk6n95uRfY7fVHcU18WKRBVuc3 aQrgeXtfPS99D9aTuytwx2wCKAvdr9fP34NN7rtXfbxkAhg+c7ftgnuw7KmS TD3iJPALuBdB69+DnRqfNNtPnQRTV+5OHeHlx4Jizr/Ni5sGSOq/lMYH/NiJ 8ItMHTVz4E6aI8+4pQDGufQ7W9piCUR5xydFXRXAerauq4g/WAKfzVsUDrkK YCHf7jwter8E5rcPHI16IoBhJ7UeNq4tgdsXOdwOlgtgx5OUv+9/sQyc+fM7 I6QFsdfxV1g6vq6A8NmJKwdUBbGIc/slZHpWQHaV2NyIjiA2f5AfX0dXwLRr MOMBC0GMLvjrjqnOKrjx03r/SIggNnlz7Z1EySpwCtmJ3T8niFUzrglFvlkD IZe1iMPrgpje2TZIKV4DGVo3v4QzCWFn3B3aMjvWwO/RjnqKhBD2smhSLoGR ChxBxvqTM0JYqY1BKdmeCoIEB4K0bIWwXCbF6B+eVJD+h5uX4iyEeVP8bYiR VDCW6K2oFSSE8YeO2EsVUoHDuqkNuVAI225jOKe0iwYetT6cCKsWwj4fsPX0 4MP33YxCN802IaxjH/BVJtLAiIXU07BpISwh4e6Tn/r4vrrvvJAmFff/Isay 5AwNSDGEvxuiF8bSAv+EcdjRgF3eShlJXBjLDJ4aH/ahgcAwBeMhBWFMiuC3 62ooDaRcudwVul8YmzDVvGkSjfOR9ks7kr4wJrZZlh79hgYou+vnBs2EsWLu Uf2jWTSwPb7pFXoRt9cY3XvmK85H5epMpBvC2NmN33S15TRg65ywN/ShMBal GRfT/pMGNvvYWpYihTHT2xefH++mgdcm3v6XEoQxhcpzm1KDNKBVMqVanyGM cR38L/rqKA20K1hTNL4KY/X/nRffjfOOy+v6Z0lQGDs44HdlL8477KwHMJZm YYwwJrwvZokGPnhmLN7tFcZOZspa3V2jAYNJgdTBcWFs9eP1soJ1Ghi2DD5j tCSMpWr9d8gW550Hdau78v8JY8IPnhX9h/OOqLZjvji7CBbxcUV6DOeVwved DqGCItj886fOFTjPnBM4tmeZIILZqQs++f//UYtB+dWX1ESwYi4p3wxcjliV dq8/LILJnGAw+IrfV3R8IUMyFsH6vSfnZHH7dZ103UkWItjw+cqgbZx3HI65 BrPYi2CrcmeljuDx7eRT9rv9J4KFb8v1j+C8k0Q4PTHoLYKtFcZ1zOG8c/Bl RaxRiAhWVVarZjtHA927VI3yX4pghgkJe7UnacDtbjJN/K0IFmRT99N9hAa4 RjgzQz+KYLYp3z1FB2jgo7mf9XKRCKbzqshavosGjNEs6+UaEUw+4ePXxGYa GFe7WFLfJoJFV5m1e9bQwMO3jTdJQyJYnhAvXXkZ3l9uHdHkaREsJ1005kY+ zrP+WY0sVBGs7KTx5INMGli9HKY8xCWK1UnTzMZf0sDzn7QBIzFRjK82QVMb ny+VI9cj8uVFMa9Xbz2X8flzEjf8E4qJYvSXCFsf8flkiPiWvGwqill3th7K PovP46aM2eULoljIsmY7vwEN9PUzfCG5iWIOcjUGGrI04HHi3pVkf1Gs5HzM iXF+GuArHeVmfSqK6aha/2NipAHT+ErXoXc4At+2+hs3TAUVVgGksG5RbJSZ 5wZbNBVcrJ8fXR4RxXyKBpoM/KlgXds2+vK8KIbO/AtdvUEFGoJHVkksYlhI 5uaxAl38+e3a+DZ0UAzTsxsLax5aA0/OeBzSTBLDBtXDp1VZ1sDLZqXbOVli WGNFGV/S5CpIMqK8kS0Sw/6zNujwqF8FuUeMGYU7xDAxydSfPsGroFdRtHWL RRyTMs9RmthYAQr0FY5198Qxr7jeM9nNy4D0wC0OPBTHUjcLnbPSl4Huulxj cZQ4xunoXaXmtwzM55+pfcwSx6gZrXZ9isvAs99+4xlFHGtc9e/vDFgCdflM zy+c3IvN8Uts8AovgjaV0qoO671Yg/b9Wy0dC6A/02XtpNNeLOVg9MVa9wUw /+aXjd5D/Dzx14Wswnkg+DRLlli0F3M3KrZFpD/g2tVTZXMECSxXeHRpjXsG MPK/mgjYkMCsFydM2fzHAN+8PxcfiyT2xcxfZ5foGJBuuKGdvkcS81fZDu7/ Ngr0/HRDGvZJYsT+KznYnxHgPT4my3tFEjv8DL41ujgM5gtI19KqJbGdwVpf kzv9YE5p6q6DoRQ2eprf7RWpGawKDQV/NJXCyCHvlPjyGsEmY0f86lkpTPSk hu2O+g/ATimrDLkihWX4TNx22l8H5KOf8X70ksLs8oRO0p9FwGFTO28lWwqz 7iIeN0p6B341BS8GcUtjzV6CIykSCMboJR8/LyiN5bx5/HjctRKezStIkN0r jR200xrxgFWwJXbMoE5JGhOuLzA9eaYW1tkfjWcxlMZYh8YYBQwbYVCX9fwv U2nMeC7RR827CeobuR7LPCeN9Z5fPSST2Qwr9r39Y2wvjWGL413X/rbAQtrW 0XA/aSypnfnRzNd26O7MH2fzWBqriOfcJafbAUlDynNK4dKYYTXjHdGqDvi5 yia2KU4aM2W2nRSo74QZkcUznF/xeLJCh74WdENHujYwVILbk0zN5VPqgYR7 kzGfkDRmlynxayupB76xFgRmLdKYAmv/VVvfXzCW6B79bFoaI6fFlTSJ9EGL 2KdTVxalMS/5XW//+vRBPrZ3R9Rp0pjP5XqbiL4+GDXfPtnGSMBqXgqdao3q h6b207qpHAQs3bDmpOfvfsjeRffyLh8B0/Fyy7t3aACGlKjp8kkRMIl71a9s +gagwT6jF6NyBEzm0b2uI7KDkP6t7US+CgGbg9EbTi6D0D8o8vm5wwTM9ZNp 74P1QahLS/9N1CdgNkclT107NAQ3bpbrrBoTMDdPCZkQzyHocXp2PMaSgJkO hXfdmB2CWlX0OtcuE7DG7anbstI472iJPtvvSMCKU1/+5rEgw9wPGuNMtwhY T8PjBYUgMnQRNTnUc5eAFWoEX7qVR4b7Iu2iMrwIWMu745I9A2Q4s+M55hFA wKoq7568zkCBmW7PDhqFELDMi40CexUo0Ol3RqRQJAHzO3qoa82EAmWsK0Yn owlYeMz4v4UbFDja2H2gOIGA6cdhyuzBFJhy5E9EWCoBM9+QFDz2hgJtcxlH rTNx/Yyq+PgCnG+I4gcUv+Dx04/lczZQYP8rzYi/3wiYwbfKgMReCnzNenLk RzmeD0UNOz5Bged9HbQTqgkYX0/cebYlnB+S+ZlpP/B65T/+5bVOgT2wrvtc GwH7XJy0ZPePAgVHvd7n9hAwvQIdt0qcjywZle/vHiJgZ+1PH03A5Vi5IQPn MQKWY3fdbnaLAn8ZP+OvnyZgU/LZMwU0ChS+dXScuIjnP9/LT1ugQOvIla+B VNz+a1OV/N94fF/ePx7aImDrScuJE3i8ve1W53QYiNj8tPFozA/8/iobMY4N l+usE78XUeAFwfLlFW4idvBrrq/9OwpMOOhSZS5IxHL1L595GIHnbyP18pM4 EYtYH2aQwHlJ9EGHPTuRiNlKKccctML57G2QxnVFIlbzPlK84yB+v1J7V40a ETs7m9c2K0SBA2NTbVLaRKw5JeJfyCoZXlI45dqvT8RG39ndM8ogw6QTO+CA CR7PFazrji8ZDt7O4445TcT8RYOGJM3I8HKewJdTl4gYj6H7Pom5Ifims94/ 24GIuXn/O+NaNATJa95mLDeJmMSGH+VM4BC01SH/QfeJWJjxcfpm9iFoV52x T+sZEetZ5rpHoR+EKb+tt56/ImJJkdXaC6UDcISFo/lPIhFrG/3kl4bzkoPp nVsfMolY+pHPTjtd/fBq94Fs0Soixv6Vv3bmYR9Mp017ezYQMYLgAoOLfB8c F0ky6WohYq7Hb//63NgLHW3ppiMHiNjUj8h/nuy90GmyQX7XGhHLESAGxNzp gRlsvrTLm0Rs8d2zjTsMPXBSWaW+dJcMZv3AvFPhVTe84frCyZ1LBiNz3icY 5HfBm38vvJ+Ul8FYL14PTunsgLc5ZgktNjLYDcZTBpddfsJZ71JGDnsZbDHi t33xxWboPPVkwui6DJYbnCHw4ngTvF6rkF15TwYb7zXN/M31AzoEOGl8i5DB kKJy6knvGnhhZQQkVchgCpSnwjP/fYOGA72XnAmyWMzel5bjWd9ArUmm3gcF Wazm9Ski6VExMCj2lBpXlcUWmxkyXGzLwNFXguOXD8ti/G/vqxJeIKB72uLW GQtZrI5zz0l55zpAqm71PhgiizmyPm3QIrUDyY91scwzstjUAcuAB0+GgMXb 4pLGRVlsdG3W5Lc9GYRHZw9G0WSxfzdW/1fDmYdT9X1/XCIpFVJEgyTuNdzh 3FJR9lIKlRIJZUpSIhTK0EBJPggRSkWhNKgkpMSReYgUSeYKma4ud0Liu3ue 3+/P97PX3nvttdY5z3o9596d6KDbhXiBUSry4mowXVJ1Odu3G9XsPvBcXVkN fJRKlczVfqAzI73lxgfU4Ke89e7i4F5UxxTnh5eoQfer2TzBzBASVRPK761W g0jWXPMFzsNoo+KA7uIGNZBSL+iKrxxGqaJ1Qbc71IBSLVU2FMlGfo03pDLH 1SDpwrsiuvRvpOqrqlpHU4eige3hmZMcdNB1qdH19eoQ1i4ms0N9FEXbzT1h uVkdyt60N52xGEWT24dfdJhg/SmamfBkFDUszdEbcVaHxxoaqxIsxlBg/jaL RbfVIV2nM3UyiosI2waOw311+NPie/HFSy4anLGNyspQh7n3uip+N3LRQaMz 1fty1KFlYb/hAnke0m1+hG7UqQOPEK1OTOShMf/1HT2NeD+3kYzLeTz0ZEVJ wPpWdXj2x6Ga08RDy4625Tb3qYO8TaDSTmk+Gucu0FomQoEG+8z534L4KCsx qdp1DgXm+SYNPb/NR8f11I+9laKAwufDq//m8lHLJUg9tIwC3rEfA6b7+ei1 jLdCMkGB+tMvrvobC5BH7kzuyEYKnNvJuiGwFyA1m0gLhChQ8LboUI+PACXc exDVvYsCg89lXi9MEaAz9BaxNUcpkL+hXCFsWIBojc6p3m4UeHaw0sxnWoD6 zoyislPYv4U1C2oXCZFl0bzAoxcosHPPZtdchhBJOSUq5IVQYGxfKGkEQlQm rpo3J4ICLcmx87buxfxiumU0I5ECnSl36e5uQjTMqY4av0uBmmeNnCQ/IUq/ cUDLJJ0C1RnbfelXhEiu3fPYYBYFQnI2tVy9I0QfLk6J6b3G67Gn63ZmCFHI mv9SIwopkOUVnXvqpRBxT6R2aNXg8XX7awdKhejJQnrg+QYKXHA5bqCL+3en 7AKF+mYKcNgLN7EbMc8cMM5b2UEB9YDQo6K4//880WTh+RPHo4kI8sd8EH73 8Cg5QAEyNcXYHPPDVoORKGkOBS72XgqJxHwx2ROgdVhAAXcDckYd81V2mETN yykK5mOXSFXMVye0bhwTnU2F9NF80UuYX1QalMUtJKmws0bT4N/v/Vq9n6Wm LaLC+ZSjWg6Yf67L6wJvCRU2fjd40Yn5yLigosNwORXcmZ/e/uMrEQeLwHgV KgyP2+z4x1f5ot0KfRQq2BdZ772HtddD9zwdOhUsUdC3+3h+50el+IU6VHB0 2bG4dUqITCdqvPs2UyHgfJGyFeardyoB5kXbqJCcs3fVMqEQaeymMhN2UuET 7fc6ZS7mT9+WRR77qPBu+8oY9xEhkki5OrLdmgqbXfuPTWPePFOlU7fCgQr8 pO4/XzCP9oz2PuUfpcLc0JU3uDie5krx4XXuVJBl6QVbYZ56b2jo+sCbCrHW pstFcT4YHlyj8wFU4Bn1VnBLhCg5MVXNMpgK1mfnDmm9wfX0fp+4dhgVzB9p /Xn2XIgCBkV6xKKpMPKUOH02TYistjjcz7lDhcJU2ye94ZgfXRYGRabh+MxZ GxFxHtdbTKG98xMqMMbnyZ7zFCLpn0rL5fKpQC//mYkw/1+Qqp0cKqJCT+cn FTkDIWKvD/hWWk4Fn0+lojq4nmvCWhK8G6lQnlCw8qgU5svsq767WqkQEyQ9 7T0hQBltOvvXfKeCiSHvWmOvAIXQ4mUaR6jQzD9nH/ZOgPSb9kUS8zQglOPU 8vOwAGX+FXGbJ6MBH4ZDl8WZCJCSepbJD3kNMD64c+ltBuYr/4USsWs1IPz+ tbY3U3yUvao2eBQ0YHRNkOv+a3ykbBLgWG2kAVdUVNSGPPko+jQV3d+jAW9j o2J79vGRe/nVKTNbDbBT/DsjJsdHa90Mz2ad1QBfZ1c71es8dOMG1zLsggac 9imMH/fgIdGi1HWOV/B+ZnP09XbzUKf0rLFFcdi/5G4kK85DN/MK3T2fa8Cu IY1V6724SEp0gxOtVwNiJQ2uNWqPoTdnZ1v0DWkAdV5MoIrYGHJhf9yWPKYB D0/MOIm0jqLiluNrF4poAq1xLNorZBR5v0jqZytqgnVeS6xVEwe12k57PDPT hCv+761HS0fQo9flgVrvsL1lXOPG0H60/eT+eI04LbA+cs5rh1sz8oktEPG8 pQXTjsQPzQdfUPprFfdXKVpA8Ktnne1qQqKio1s3Z2L7H4LbtpaNqDjhGse0 XAtycisDNho1IN3iil2nhFqgvP6Fzpm4MuTaq/06968WJJlmnp5SLEU358Wr TM7WBobz3VC99PdIuP/IxCVpbTBbK2ai51eIcgZmHt6gasM506b4GfFsRFu8 STT/kDYEKdr5pa2LIe023js5dVgblP0SHDx+JZGRdhLf4Dgef2RIVpSkkkMZ X15U+2hDcS1/sZzBM/LR5tN2bde0gcMtHHRpzyfXuDzNnya1wfrKf5FWihWk eYSs6rYKbah6YnHB36CSvJTlH331gzaITby8t/VoFdk9aeQi/U0bwoIzG++m 1pDJ0T2LVca0QWFAv3UHt55UeLPCc7sqDWw5qh8enmokp49kKMlo0iBkrVzN t9FGsmchs6qdSYPU74NLcj2byCxnw9U+iAZVzDvTps5fSCNpt8bUgzQwdGCz vRhfSa0C3kWPwzRoDtb3N737lZR1uaCle5wGJfK3eRkSLWRnwfUrn3xpoJ9s /Li0qYU8cyx/g8h1GiiUBI4vNWslbWW39tQm0gCsailHHrWSWwtrYxKTabD0 Q67avOlWcuHirgFaJg0+yGfp2NxvI3mFxxMms2mw0cV+aGKkjWw9Pra14g0N Bv/b9KpvUzv5sEj8jl0lDbTQZ/nEynYy0jXamFpPA7HDlWb7cX95Wm4Zn9dE g3tbUr+Y7ewg9U9o7Yn8QYN3j5ZYT73vIFWX5E1aDdDAY1iR82Cig5xXjDLW cGjgmLZCMoTWSX5ZYiFS8BefR2mJZVN0J/m2uD0zVIwOYo4xqlvfdZL33Fxs zOfTgVJj/Lytt5MMXcoRXylLB6fcSZkUqS7S/b1/9oACHd5Vr44JZ3SR5u6z HXJX0UFaY0H4nX1d5Eb5a/OD1eiQoD4W3OjZRa4sWZq/W5sOyf5/FWkRXaTY yXvOCuvo8HbcadlT3P8PymvI9Ohi+3Y3J5M3XWRDyavCFwZ0aA28PCXxoYvM O7nlRKAxHWKvbV3U19ZF3lGoXGq0lw5BQ34/f/R3kZdKzUplD2D/v6z/+Xes izzu0erZaYv9z66/pTPZRe5Z5rz8yRFsf6DnVeR0F7mujF3le4IOOaUuM/++ Fyl6nvU1OEWHALdEtxg8LqI4S2WBHx3aOZKS+nh+X1l4fcsFOnQeT5OU5HaR HzzlAtOv0OGM4s3iUbx/tmKyulckHcYLj6WOY/9ulqs36cXRYfnmFsOV2P8L Xi+DJJLo0D08Yn8En++Ikp524z063DnQX1WFz29cUfYtOYMO4Sdp5/bi+NBO 7Qk98ZwO5vtN48Zx/OSWtxA6uXRQSe4zKcfxnaw43DXrHR2ey6ZN5eH4d58a iqgrocM0T4X6EeenYrnvxlvVdEiqGz65qK+TjD0ddp3xlQ4uuqH2i2I6yckP mflhHXSI2q0PUs6dpJP6p67un3j/IXPz+PWdJKt9Ge06hw4xJ508LD51kHd0 9C0HBNif2vWukbc7SLHrTucM/tKhafZvX5sjHeRgqmXvuBgDfvx0fJU/1E6u bPg1rjqXAWYj7Yl7M9tJ87/+UvvmM8DYOIF/+UQ7WWCVzHosw4Bwr5HIj11t ZKTUr2CblQxQc0zzguetZPEm//grqxnQKZ9SIG3bSvJc5j9+qcqAzdtsKuMl 8PP2nt4gqckAp+sHgmqtvpHaZ/xWvt3AgDO/TWWMO76STmnziD5dBqhonbZW 9v9KJjTc2S6rz4ADQWNuNbJfyWmN9+4nDBkgZ9Simo6ayfouyQLFfQxoSXjw +efFJlJ0wZ36HfsZ4LF7azM5r4nU0aX9OG3FAOWpMa2YuEYy+Ya5ZK0d9leg 90A55TPpaXLbKvAEA2L6f/eHJTeQ0q+0eG2XGdCTMeLPuVJFGnYXScy9ygDV bd4FbPtK0m/BPqV14QxgRAU0BK6rILuP+W6NjMHrn0q/7P+llHy5vChm810G KKxanZLYXUiah+7VvpvHgIbeTeZss1TyoQ3H5M0bBgRFDfgXLE0iJ7Suu3x5 x4DiFXrLr49EkZjZUhaUMkCEW32eO98PsZUPyF74yID+P7TLdcOPUFiBrdC+ nwFgG2TGTHiPijiu75UVmZBtM3J0bnETki2b17l5BRNi5386ohnyBR1NfDpp rcyE3K8hZa+Mm5GUPpt1XY0JLmtMx5s/f0U2EV4PZ7GY4HP569mEwVbEW3s2 4scuJszE5G/Li+lGGodCLNPPM6Hg/HI9fkEfsjmVJysWzIQrbcl1B9f+QmFX +z8eCWHCk19XJDyjfqHeV7t3rolgwt6n98tiHPrRPaklKPUmE+QiciI2/B1A S4oeUO69YkKI69FhWRU2Mmz62juTx4TyxOLFm0PY6PSgZJrDWyaIXUJ2tb1s zEMeK1a9Z8KmHMfZ8zNGULinjmxyPRP0ozk+tdIcJLK68s/tASbMMglLTvYf RfQNE/l/hpnQvmHEsj99FNmbap45xGFC0lxzw7KPo6jAP5qjKGTCHNNATU3V MXTms1XvLTECnh6ZmB1cOYbS+/9LnZAgwD3akqD8HkON0wUONvMJSH+/rd98 KRcxNJVbFWQJmD4/e0LzCBcNXe6vT1xFwOJVLXsLBVykmKQYKVQhQOePqc4+ RR4yztptYqVGwIDG5wOHtvDQw/as0qXaBMjy8qQ/BPOQ43r//HhdAgo3Rezj z8b9066nvvwtBIznJ1VKr+GjosMdhKUBAeH9v18mGPCRUpTBMzljAlw+G51r P8dHzX2SqXGWBLTOlMRoDvNRxf7/7ryxJiDmmrvYGzEByiuZm9h1iICa6Qch BcsxXyVLRGo6EeDkvXVcaZcAWR4QP1PqQUDo2tw/zPsCZFgW4jVwigCOYObv nlwBWkeIuS3yJWD/pzCd1ioBkls42/FQIAF7Dq822TgiQE3lIju5Vwnoz7bS nGFivmIFGS6LIADcVX/74/415/6MPorC8TD6GmhnJkQ3zk+zIm4QMBhxMcPW HfPS0Hnay0QCitlcxll/IfKx+Uv5mkSAiLKV9TjmLYv1UyvW3Ceg55l8otZd zDtpgQom6QQs3+1b1Yl5i5D5I+uZQUCaem0tH/OWysWABfFPCGh3XbrlVIEQ ybInJAqeEaAAB4vMyoRI9JC/6PcsAhgX04RxuN8fqxqfmpNDgPF8qURdzAM/ dPyEWq8JSJhdZGb4j7/ShaPmb3G+sgWdWZi/SmTPDvsVYv/1JUWDMH9lBwn6 kosJeK5+OOgl5q/UEd/vZaUEzAkIUduO+SvWlt82WEEA79OSyn//t7pU49Ms XUOAj1Kzbizmr9MbeQ06dQSEyT903IX5y+mhd61tAwHn0q+ucMH8tU+OW36p kYAL1cm2PzA/waXTxY+aCdyPEYuK/91HwRl9W/+NAGfHZ1r/+EvZ/lQur52A m+/vZqdgLf2B80Kxm4C6OXnp//hLRNfrCfwkYIHjBylxvD4n43e6Sx+Op0fr ZDXmr+4lnimRAwQopk+FcDB/NVweuZU9TICd+6lKP54QFY+evNHymwB/6Zs9 ThwhynJgR02P4Xpz/i32YkiI7tW5/6cqIGBkvZyVXZ8QxegNX945gfN5nlzk 0S1EQY/dLnhNEVBmXub6/RvmQ/khv4QZArIeL3j4+rMQ7eUOnPwhzgJaXPCv a5i/9A+7Hp8ryYKw898jozB/0T72O9GkWBDnPLif+0KIFj79ZRUgy4Lb19o+ DiYJ0bTCMfN7S1hQSCCLC9FCNBLat7tCgQUuYbpJZy8LUb1Tr4HsKhZY5BRa 3nUVoluLBe2BKiw43VXHTTooRM5lc/x617KgodyjvPff/ZNrKc/ztViw0pn6 6ygV81zzRhMVBgs6t9kX3pHH+b1q0hPBYkGSp3HjGnEhogycUHTQZcGK0XQV tU4B4t4KzK3awoIlbmtV0qoFqGhnpBlhwML14MT2zhGg/ZnPQsWNWTB84mG1 XJgABXtyxp5askDgwz3npS5Au5VnRS2xwfbGtaGPFgiQwicZ6kVbvP+hEwOb uXz0nGA5mB9hwXj3wuiL7/iole9bO+7FguopqU/RRny07tyftO2RLNgf2GC8 yICHZrSk0ItoFty0WNGcuYKHajqWtyrEscBaZmpX4QQXHUb60sO3WLCj/nnw liwuihINPhebwQL7+rSjg/j99ytsjmVXCQveORZZhHwYRUnxMnP8J1ggajQx nvCBjX6ElqyOw7pxH2v5g2o2ovp5b3mG9Xzaa8VXFWyUf/CLz3esdd8UPK4v ZqPmVbd+mkyyQKM6Tlosl40WP1F+r/iHBU0X7ecev8tGkUX0c++mWFD86NhX OQ82anrRndiM9VqJJd4r3dhI6f71Vxys9/+SGFI/zkZPLnMHVf+yoKygw1PX iY2qjF/bXMPaLEet3u4AG4k16m+wn8bzZeV77uqz0e6y3+Z+WHssbTB6oMdG cbn3PGKxlhIzDcvcyEYqN0UfVmB90yA75S3BRmBXIUefYYHOoAT1ixobhe05 yzDB+uq3Qu+2NWz0EVF2H/k3Lnn29ndlNrJXCb+ciPWTNtlLbEU2erhYL+Ul 1rHW4gZceTYaERt+W4v1dLVix7gcG+kI7jT3Yt234tCBaRk2+r/7buH/77v9 H1Z1JMg= "]], InterpretationBox[ "\"y = \\!\\(TraditionalForm\\`\\(\\(\\(cos(x)\\)\\) + 1\\/2\\)\\)\"", StringForm["`1` = `2`", "y", Rational[1, 2] + Cos[$CellContext`x]], Editable -> False]], Annotation[#, StringForm["`1` = `2`", "y", Rational[1, 2] + Cos[$CellContext`x]], "Tooltip"]& ]}}}, AspectRatio->Automatic, Axes->True, GridLines->FrontEndValueCache[ analyse`grids, {{-2., -1., 0., 1., 2., 3., 4.}, {-2., -1., 0., 1., 2.}}], GridLinesStyle->Directive[ GrayLevel[0.85], Dashing[{0, Small}]], PlotRange->{{-2, 4}, {-2, 2}}, Ticks->FrontEndValueCache[analyse`ticks, {{{-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm]}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}, {4., FormBox["4", TraditionalForm]}}, {{-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm]}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}}}]], TraditionalForm]], "Output", CellChangeTimes->{{3.416494375459485*^9, 3.416494389211523*^9}, { 3.416494426468739*^9, 3.41649444174338*^9}, {3.4164944920595503`*^9, 3.416494508369405*^9}, 3.4164949959294167`*^9, {3.416495026105483*^9, 3.416495055863214*^9}, {3.4167161119834557`*^9, 3.416716117998247*^9}, 3.416716173420455*^9}], Cell[BoxData[ FormBox[ InterpretationBox["\<\"\\!\\(TraditionalForm\\`\\(\\(\\(TraditionalForm\\`\\\ (\\(\[Integral]\\_0\\%\\(\\(2\\\\ \[Pi]\\)\\/3\\)\\) \ \\(\\(\\(\\((\\(\\(-\\(\\(cos(x)\\)\\)\\)\\) - 1\\/2)\\)\\) \\(\\(\ \[DifferentialD] x\\)\\)\\)\\)\\)\\)\\) + \\(\\(TraditionalForm\\`\\(\\(\ \[Integral]\\_\\(\\(2\\\\ \[Pi]\\)\\/3\\)\\%\[Pi]\\) \ \\(\\(\\(\\((\\(\\(cos(x)\\)\\) + 1\\/2)\\)\\) \\(\\(\[DifferentialD] x\\)\\)\ \\)\\)\\)\\)\\)\\)\\) = \\!\\(TraditionalForm\\`\\(\\(\\(1\\/6\\\\ \\(\\((\\(\ \\(\\(\\(-3\\)\\)\\\\ \\@3\\)\\) - \\(\\(2\\\\ \[Pi]\\)\\))\\)\\)\\)\\) + \\(\ \\(1\\/6\\\\ \\(\\((\\(\\(\\(\\(-3\\)\\)\\\\ \\@3\\)\\) + \ \[Pi])\\)\\)\\)\\)\\)\\)\"\>", StringForm[ "`1` = `2`", analyse`Integrale[ Rational[-1, 2] - Cos[$CellContext`x], {$CellContext`x, 0, Rational[2, 3] Pi}] + analyse`Integrale[ Rational[1, 2] + Cos[$CellContext`x], {$CellContext`x, Rational[2, 3] Pi, Pi}], Rational[1, 6] ((-3) 3^Rational[1, 2] - 2 Pi) + Rational[1, 6] ((-3) 3^Rational[1, 2] + Pi)], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{{3.416494375459485*^9, 3.416494389211523*^9}, { 3.416494426468739*^9, 3.41649444174338*^9}, {3.4164944920595503`*^9, 3.416494508369405*^9}, 3.4164949959294167`*^9, {3.416495026105483*^9, 3.416495055863214*^9}, {3.4167161119834557`*^9, 3.416716117998247*^9}, 3.416716173514469*^9}], Cell[BoxData[ FormBox[ InterpretationBox["\<\"\\!\\(TraditionalForm\\`\\(\\(\\(TraditionalForm\\`\\\ (\\(\[Integral]\\_0\\%\\(\\(2\\\\ \[Pi]\\)\\/3\\)\\) \ \\(\\(\\(\\((\\(\\(-\\(\\(cos(x)\\)\\)\\)\\) - 1\\/2)\\)\\) \\(\\(\ \[DifferentialD] x\\)\\)\\)\\)\\)\\)\\) + \\(\\(TraditionalForm\\`\\(\\(\ \[Integral]\\_\\(\\(2\\\\ \[Pi]\\)\\/3\\)\\%\[Pi]\\) \ \\(\\(\\(\\((\\(\\(cos(x)\\)\\) + 1\\/2)\\)\\) \\(\\(\[DifferentialD] x\\)\\)\ \\)\\)\\)\\)\\)\\)\\) = \\!\\(TraditionalForm\\`\\(\\(\\(-\\@3\\)\\) - \ \[Pi]\\/6\\)\\)\"\>", StringForm[ "`1` = `2`", analyse`Integrale[ Rational[-1, 2] - Cos[$CellContext`x], {$CellContext`x, 0, Rational[2, 3] Pi}] + analyse`Integrale[ Rational[1, 2] + Cos[$CellContext`x], {$CellContext`x, Rational[2, 3] Pi, Pi}], -3^ Rational[1, 2] + Rational[-1, 6] Pi], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{{3.416494375459485*^9, 3.416494389211523*^9}, { 3.416494426468739*^9, 3.41649444174338*^9}, {3.4164944920595503`*^9, 3.416494508369405*^9}, 3.4164949959294167`*^9, {3.416495026105483*^9, 3.416495055863214*^9}, {3.4167161119834557`*^9, 3.416716117998247*^9}, 3.416716173548194*^9}] }, {2, 3, 4}]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Calculer l'aire de la figure limit\[EAcute]e par la courbe ", Cell[BoxData[ FormBox[ RowBox[{ RowBox[{"f", "(", "x", ")"}], "=", RowBox[{ SuperscriptBox["x", "3"], "-", RowBox[{"3", "x"}], "+", "2"}]}], TraditionalForm]]], ",la courbe ", Cell[BoxData[ FormBox[ RowBox[{ RowBox[{"g", "(", "x", ")"}], "=", RowBox[{ RowBox[{"2", SuperscriptBox["x", "2"]}], "-", RowBox[{"2", "x"}]}]}], TraditionalForm]]], " et les droites ", Cell[BoxData[ FormBox[ RowBox[{"x", " ", "=", " ", RowBox[{"-", "1"}]}], TraditionalForm]], FormatType->"TraditionalForm"], " et ", Cell[BoxData[ FormBox[ RowBox[{"x", " ", "=", " ", "2"}], TraditionalForm]], FormatType->"TraditionalForm"] }], "Titre2", CellChangeTimes->{{3.416482364942295*^9, 3.4164823986375504`*^9}, { 3.416482533637314*^9, 3.416482563327402*^9}, {3.416494316596678*^9, 3.4164943482758617`*^9}, {3.416494666467757*^9, 3.416494684765552*^9}, { 3.416495085899433*^9, 3.416495160437401*^9}, {3.417312902153844*^9, 3.417312905040111*^9}, {3.453604226728425*^9, 3.4536042468042917`*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"f", "=", FormBox[ RowBox[{ SuperscriptBox["x", "3"], "-", RowBox[{"3", "x"}], "+", "2"}], TraditionalForm]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"g", "=", FormBox[ RowBox[{ RowBox[{"2", SuperscriptBox["x", "2"]}], "-", RowBox[{"2", "x"}]}], TraditionalForm]}], ";"}], "\[IndentingNewLine]", RowBox[{"Surface", "[", RowBox[{"f", ",", "g", ",", "x", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "5"}], "}"}]}], "}"}]}], "]"}]}], "Input", CellChangeTimes->{{3.4164943598080797`*^9, 3.4164944409454613`*^9}, { 3.416494475211783*^9, 3.416494507741542*^9}, {3.416495011279469*^9, 3.416495055182926*^9}, {3.416495174655258*^9, 3.416495253177507*^9}, { 3.416495454410532*^9, 3.41649563853932*^9}, {3.416496122814239*^9, 3.416496141055211*^9}}], Cell[BoxData[ FormBox[ InterpretationBox["\<\"\\!\\(TraditionalForm\\`\\(TraditionalForm\\`\\(\\(\ \[Integral]\\_\\(-1\\)\\%2\\) \\(\\(\\(\\(\[LeftBracketingBar] \\(\\(x\\^3 - \ \\(\\(2\\\\ x\\^2\\)\\) - x + 2\\)\\) \[RightBracketingBar]\\)\\) \\(\\(\ \[DifferentialD] x\\)\\)\\)\\)\\)\\)\\) = \ \\!\\(TraditionalForm\\`37\\/12\\)\"\>", StringForm["`1` = `2`", analyse`Integrale[ Abs[2 - $CellContext`x - 2 $CellContext`x^2 + $CellContext`x^3], {$CellContext`x, -1, 2}], Rational[37, 12]], Editable->False], TraditionalForm]], "Print", CellChangeTimes->{ 3.416495608576281*^9, 3.416495639458151*^9, 3.4164957371973*^9, 3.41649580050772*^9, 3.416495919727816*^9, {3.41649613751714*^9, 3.416496143361494*^9}}], Cell[BoxData[ FormBox[ GraphicsBox[{{{}, {}, {RGBColor[0, 0, NCache[ Rational[2, 3], 0.6666666666666666]], Thickness[Medium], TagBox[ TooltipBox[LineBox[CompressedData[" 1:eJwt13k01dv7B/APjmM6HHOGihAJXXOGbs+WNKC+uknSrYtQ1JU5YxG3qFvJ mMhcaUIq4Sv7o0hECWU6ZZ6ng4NjOn5+v/V71trrWa/1vNd+/tn/7C3OF/9w 5SYIYmz9/G/nLZEMSTUTIIn/K32y331B/LuSAGkU88nnZbIe+UfCBH+6FT85 fOzGZa5BbVJ7pJ312wMqKT2dZlltuI30Y2qpb4iikikJx31aX6mRJQsRpzge VHKPcOSKga4aaUbd/rHeiEr2LO/ybNJVJf9QDk52b+Elk3YXmjmaq5D+p+RM coR4ydCfv4XezFQky1w8PW/MUMjB2EHFYh1FknP+fbZ3O4VU2ZJJaEYrkNeC PYTQYwpJDCRbdrVtIu8llzEYeyikjfMbSlWSHFn2zeGKdDAPKWjSVbIaIUly 2vJfrTrykKK5kZSMWglyTzf3cP9+HrIpQSwgVEKC/Dz51OaVFA+pSxXa2f1C jGQILW+xeclNiooXW7IWhck1i9SqmGEu0l7z0JtfPBRy76EpttdXLrKwIcJp qpWbjLY117Iv5iLH7e+WyRdykaJnxhJVo7jIeweoyY7tHKwUbnr2gwIXyc7k 5B7SnMd7yzoFVu0IknRCch/V23H+04fGNaYEGa65vEVH5RuWSb3ofleRIIk3 5qoPI9/jHwvUOKuWNUzoLyY0nCuBrSF2og+WOBj5PCocu98D7JOjF3WqODjz gWurtOQA1O+6/LX6FgcHUhy740KHwY/z8PakIgeLyl/JnZWfgvcRczS0fxUz 97Yr1X6egyTnmAstoqvYsdXqLOxfAHfzTfXnOlawSrrttpYyNojyWty8+/cK fi0xsDXhxjL8FZ0g0Be/jGVa41N5zxJI132b+6VTy3iYbbRXgMqFqJbln4TU lvHG8AHt41lcKF+o/7p+2RJ269c9MVXPjVZu61GvdS9ijlBRUBebghov1rjK PV3EsY4Pf/CE8KIcm5PV+b6LuMX1z7AXi7zIUjwyqpW6iOl5s9vzx6lo86x0 //lGNm5a2DMr4cSHZpqfmhP32Xhqk370xiY+lJLYxK2uxcbvxTvu6z3lRxcC 3JzfzS9ga9Zqu42YAELHlyqPkAu4/lvWuR3+AmhYRiki+OgCPvJo/8J+PUFk mOa99jloHjPLN3t+iBFCgmG8fzmaz+OH/xx797JVCP08lVLBos3jpMRPTqlK NBSlUBm2KXMONxaaaV0uoCF74tjPl+5zeOxLsdS1aRrS7BnetU9vDg+e2Pfj kbYwas4WXfH8yMKKjDhnm0fC6FFk7kmeWBbWHqyYGmIIo2AXo/8mn2Dhqqt9 rW9ERdBhi3o5TWUWNjMtCak0E0FKqo7B5Pgslk5hmYp7iaB5KqvdtngWP9xq E1SQKoJqh64bj1yZxac9riZkVokgrycFbDGJWdxrdnAoVYSOtEU8I/d0z+Ad jPjtyVp0NO2jKeL7YgYzjK6fOG5JR0Wto/dygmdwrORp/14XOvLZ9US5Zf8M ZmkcvbI7jI70ss7mU6RmcL5pVqB3PB2xeFWNDXqnsQcR6RzxmI5ee/R/cC2Y xvWGerv9SunI/2v24aTQaRyeOk6zqaUjQ32n9o8Hp7Hq2MhXuVY6mr+n4LIg PY09e12jO3rpqHj156RaPxOv/J66M3Gcji45pwXZv2Ti4LKqXzYsOjKqcaDE XGbi25Kbrkgs0RFbQ/ZOqRUT/+Lvku1bpaPS2FbZURkmlra1KKxeo6PZUY2D BvVTuLPohnnluv1e551OcpvCrT0jLZ3r+fmwrX4LxBTOf/DAVX79vkv7s2Ps UyexUE73/D/r+9iiChmlBpM4OX8iZssEHQV1pL6Wa5zA7NA1BVYfHS3lyNSF eEzgljqbMp52Ogr5O7GLQVm37UYHu3o6WjEUn/s9YxxntaYRM+/oKIy4I5hh PI776cIFjBd0xKkVUiRaxvCessduG9PoKDw+2sDJcwy7xj/e9jaajrhO8Vq9 5x/DM8f3zxf50tFV1auOyjmjOLGqslHqFB1RmBz/qN9H8WzikdKBvXREjWRn 7vMZwZdPpJX20+nourV/8WPaCF6pqm9WmBVB/NIzn/kfD+PW66tEd4sIEnwy Nl/XOYRNqFYpfAki6KbPOZpmwBAWN/1JDfEWQbRdA1tuiQ7hgVKHf28eEkH0 r7+s/2MxiOWjuftTuURQ7L2TzoVdA/izTXbJ43ZhJO7cdkkseABL28k8PVco jCTnvmU35/djaQGf4S0OwkhGvpp9XKYPK746MCebQUMp/WYipUW9eJGbrzng bxqSy69QljvUi5/4ebeWmNDQJrOSw4yIHqxTaHCC0iSEzL/YHaz80YVNtw87 O7EEkZ2bclZTaDuW/t0h209YAN3w9o2Oe9OGv/4edtfkCz96F/rh4h+Trdhd zK3H+jY/Uok/s7vprx/4zhcLi79p/GgG53R+29OMCyZcY0y5+NBmvQOa2WJ1 uF3tvAtXEwUx76W4TKdcxecb0y427CRQKHdC9T4jd5Atf/5Ao2MNdtw/UyNp eAd+HvE3xnvX4KheW/k1s1wIUgu33ijHAW+38yNVCcWgK9VQMvpxGQjizdqZ ihqo/vzpAtZdgJQRSZ1+61qovvBp+HP2POg2+zm7dNZBjg+3TazEPLg80q92 YTfA3aF0Zc8FFrioOlTryjaBnWjd27LaGaipb7+hd7QNbE8xnq/snYBzgR01 JzXageMot3mXzjjwq3RSong6gKFwa6BNcQwsQxiXW151Qjq/GC1dcATq1bt8 /CW7wFImoe6K0ABc+N5V8GC8C+KuBxHNUv1wDXnNOzt3w6hKQrGHSh+ojXvp 3TTpAUNld6POwz1wztznRedoL0SHq1k1v+0Eo5SZz1N2fSDrcqBbYkMH8E/5 jPJ86IOrMS21z8Lb4Ml9XzXN1H4opP1W9cn3OwQzZy0Q3wCM5Ky6V642g+U+ Pxdb3wFontp5mx3XBKPTflmhVoNgo9O9IE5+hbL9czj27SAsnWK8fqHdADce +P/KVR6CqvbC9/GldaBxMEC+YXkIQnP7VESlP8JK+rxxz9lh0Hfbk3Nr9APU swLs55qH4cufwR9V2ivhQualxE3PRyA2bSKdQSuHXfMLr3RkRoE/8FIF/d8S oFkHNllEjUJe9Juv4uZvgJHFZp5gjsIBs7yVet0ieLEQSPf8cwwc1TN/WZbk w+VDi1pXP40Bc8whhxr+BA7nBFkn6Y+DV0FEampFLmxeXPR4mjkO3Sek5Nv8 M2HycHBMBW0CiGytccn/pEBF7tLjpsAJyGQJc3E/i4PbS8EfB/snAE3dN95G vQGnbZb7l2wmgRzr/PL1TTj89iiEh/5uEsLHq5TPtfkAsbK8RVl9CojkT5bG 7x2h8Ugo2pm4btERyctZCBqPXi54SDDX3yGRHiDvt7vkckVFgeG6z+ErvSlm kPmE01B6Yd3BNoRhoBNEt+z++SF73eUi9UpPfMFr7fJ4Q9u6rdrVz0RFgP12 vNwqMg3hYbfky/1uAjq2Jti7dxrI6vhqjx/xsC0c5MaD1+fXjrmwZFNB9NkV 9fnCaegeoNZaVWXB4ndsRAyt57X/CmHHPYJegjgguGkGMmP0H3xZegZ1Gui4 5NEZYI6am33hFEKRXbjb5pgZIFefw73Dr+F+BOm/Dc+AIvO77/OJt3D1OfGP 7tz6XB/zzTD+Cx6tKGGXxiw4ZrwWzxMhwUSrssgmeRa6i4mjQXVVYNDyI6mi dhZk1M838RvXgHbIeLDmyrq3c0/41teCau0Gc34nFjiGy7ywPfMVtnhpqQXE s6AtIXfDB71vsHGDuVB/NQuYUZRI3tomkHD1bMbb5+DcTWuDD1o/QIQW9Vbr 1Bw0Wt3ySFttBcFXKampd+bg3vJH1ZM97UBwVZ+5xJqDzLAfohYDP2E8TZ61 o2Ie8p4pdMx798GQuU5bGnMeqi6KSgk974fe0X3lgsoLcG9tB7OBOQDtRj5R g9cXIE3zsP+7+8PwseWTZPoRNow7RcB3n0moDPnFFopig3SiKhHIzYRyJRYj qJgNigIr6SbfmFDkpfDwmPwi9M5tuSMSPgMZtAAD4YFFsDaIXTZWmYf7r27K hmxYgudjeWImGxcgySFrdfjgEqx0xtgekmPDv3n11VX5S2CNG48zti1B4F5l u9DAZaD050kPxHLAd8zIZPTpMlSVGx+rKVsDz7jDm+1/LkNZuf/xW/4Ecu0O GtTbswKNi57fswq40B+hjQFjQqugmHH/g68VBR1SHnQ4sXsV3ldFFDYsUdCB uuXdNV6rcPrlVqU7L3jRbhk1vpzvq8AtaEJ33MSHNF6HJTtkcODf3gLvX6qC iDtAiuEiS6DzFbbaRr6iyMHxaVOJPoEyOJTrdtOiqMgSamk2BOoSi9J+7i2G nBXci19fI5B6XaYnLUgcvf9UHkthEYh3h56JQI4kknt15Lo9nQt1FRnVWepJ IZ8Hg2HPt3OhVVPvuJ5qKaTkI3re1okLxftqVWyakUaR8i4WuV+4kKfKy63G Z2URg3fRlD3ChW5c0pK7JSiH9Jm3dK15uZE4YaZpWyiH+qveKrBMudHGuq5U S56NaK+n0JL5E26kPdlhZVazGVEqi/L7InnQ2PlfVw+5KqE/n+1/uDODB9GK LLK9Piuh14mM1JtlPEi+imEwpquMXDyoMXrTPOiA/azuJK8KqpZwOBN5moK4 k3V+/FW+FV1z45JRNuZFmZv/tk64oI5+2SSJXLLlRaEJaEhkRB0Zmmrwfr7I iwL58jo5btvRIP3YjM8jXiQ9fdNy31kNtK80r/69BBUJqm+IexykhfhoNhHO k1R0YLJD/dmsNrJXcyANBfhQ+rEIhUe7dNDTPS5rgip8SDxfzPXMNR10OCgw 7NUJPmQgreG+baMuShrMDKJU86FcDkNqzkYPKXX/SRzn8KH//5+i/wEzOzFy "]], InterpretationBox[ "\"y = \\!\\(TraditionalForm\\`\\(x\\^3 - \\(\\(3\\\\ x\\)\\) + \ 2\\)\\)\"", StringForm[ "`1` = `2`", "y", 2 - 3 $CellContext`x + $CellContext`x^3], Editable -> False]], Annotation[#, StringForm["`1` = `2`", "y", 2 - 3 $CellContext`x + $CellContext`x^3], "Tooltip"]& ]}}, {{}, {}, {RGBColor[0, NCache[ Rational[2, 3], 0.6666666666666666], 0], Thickness[Medium], TagBox[ TooltipBox[LineBox[CompressedData[" 1:eJw1lnk0FHofxscSYpIkKUSvPbJkCanvD1GEi2qEViZut0WWRJauFEW3sjQl ZCkVV9xIL5LfkAkpy9CgYcY6lpFMw9jz9r7nvM85z/mc58/Pf89WnwD308IE AiHvV//LZoNT3O0Zq6iE/8UEXTq22fKJ1CpqVJW1vfFmY1TZ5nVV/ooIVTb4 5b/cKwzRz66i0uWTIlQjxtHC5FRDZNMnPDq0T4Taq1KcshBgiJomC1xLN4hQ +/2sIpCWIeqRWtzq+kqYujme7+1gYIBW7NLrbo0KUX9eWLHNXNFDeyuZq5dJ BGr8+sCbbkxtVFSQZ1G/i0C1X9zo70bRRgrpAWeSVAlUzgE/+ks3bcSYFUs+ 0LGC67TmXSIbtZBGBEkmc+Enlvw4yw54p4lqY2aIaN8yLio/curVG3W0dMdY LK5vHpP25PdnTqqi1oD605sL5rG6ze7DBmWq6ImrN60oeB63F4UdVo5URY6y sdc7xeYxvXZ4UVpKFaXdpwvrbJ/DJQVGNUleW5BZRuBKU7gAL+6nyeqLKaKL +cVz69bzsQtj9SuLUTlkKH0h1qbvB5ZXcq64myyHeEF60sEvf+D9OsVK8bvl UJBVvlrHvh+4L61l2vP+enSpJdeFEsnDnPaY8btOsog/rutg+uk7TiF5dIaX rEUhr18cp/h9x8SWNwfcFNciQZRGyCzhOyYxDoaevSGN5mRUsipMJ7Frkv2k /7E1aMlMdmZ31gTmlUufiVGSQmKxc9n2QWN4pFknwaxTDMU7XXrznDiG7U18 fCwOiSEJ+R9NEs9HcYh211Q0fRWSzOcKPjJHsOW7SEM6XRStbWE5/WbHwcEP X1imDQgjBUXanIfCINbVlZ9xj/oJaUPW0hUlA/h1i/n54qxl2FxUrbbZeQAz kxhuSXVLoGxd7tIT048JAbEnhzcsgm0zyaGGwcbZt3NTmhmzQPJTy6FHdmOb wwLXvDYeJAQG30wu68LF+aEN/So8eBf5PsB9shNXl7UmJ1ycAvUU3z30Ewyc OqaGbHZMwg/8hNlm046VlZMt6qTHQLOJX5sUQcfGSJ8kTB8BT4ZtgdvrNnyX HqWw6REHqBODYW0arVjFbuedVvMh2GK8Xy933Uds9l4zsvkkG244jC5sjW3A 3cv3Zb6Y9MLEiZuNOdMfsNTGc1O3ZZlQebvBL6fzPVYedkqW4TLg5ackG+td b/E3ds27ZtVmiJhvY6Mt5Vhjj3TmlO9HcNCUjUJCZTjCU3v9pcoP0LSiHnD1 zkssdjcx/oAthqmHaWRe2jU8LK5XZkRLhkjhVJq9+RnYvigW4qcejvUf+dbL md2FhIwac9eqx/igcVdVnPVTcB7Z3X4ipBS/6fa4Fh9RAGIXvXm9ShV4DZWr Vuf1D9yI7u2nPK7GgX5nx+pS34AfRTyzh1KHcy10nWivKsDRj+2apFyPO4jc IlpzFciEj50fvNeIMzxNLX2v14CNf+rgid3NmEAoW/Gtrgfl0lxWD6kdp43J GQ05NQLlmUdvoVMH3tEe4kNmfoSYt3n3msy/YPIzExp57jO8cFizYYbPwMt3 UwVDcS0wXKvJWantxE1WCyklCa2QfKz7rOfNLkzW9KLt2EQHNLv6/txMNzZU lGQF9f3agnjzPY+/4uW1lYKS5+1QIp91j27FxB9F/1jLv9AB94/8llnWxsSU +U3axmZfYPTtw+MjR3uwz2QjCl7+AoUoosOf1YP1B8M9S+sY0McR/DQj9eKF Tp0gfmInxBVJsQ7V9eL6T90Jxge7IONBRWCNNgv/Hva13lu3G1Z2Yf93CSws oc4UvS7yFY5mTG1x62fh/BamdSHzK5SWOz+I1GNjx4ie6I5SJogmMVrhHBuP a/a+XUrsAReNxKZH2WycSO+dUyf3Quqls/F/NbKxXjTL1NmKBe0xl0UVRtj4 kw476JIcG4iOxTaW82x87gu7OHOCDahZ1mZ6hY3j0EWBj08fXJDOFbZfZGMS ZUrucnMfUCSPXTfgsrHWxEXjRMt+KK+1rf+nhY3nrHluWc/6gW5Gamp8wcYN DwIvlsoOwLhf6r0roWz88BvvTn30ACy4/5R/b87Gv9sGvWSOD4DoYsrxJ99Z 2DztR9N30iBInjjsr5j+y/970LjI+0GQuGpjpLuLhbv28iUUDIZA2Nu7it7S i/MfBWvppQ/B9I8sCVnPXnxlim+HxIehz15GfozRgx3tQ8iHgoehgVQ45OHQ g8d5ITmRBzgQV+BPW5Ji4sp9M/jevzlwdDKuc8fRrzgh8xLrqdoI6E22FRBy urGuQ6ji58URKN/KTfWV6MJLjwUW/f6jEHK44u+5bZ3403TokZn2UTC0K43V sGHgc9mX7ysXjsG9I9su27t0YCvBbKmRwjiYRz5PtrRtx0SnMLrd9XHo8nYN +KBHxy9nw9ZeOMoFmceOXY5vW3C08/z2aw1c0KblKvAcPmOXJ+FOFJMJQGR3 5oeaj3jS5cqtauI3QJLlI4TzNFz9dOE5PewbmK+7YHQ6uxbfWbjygTP0DQxV Zxd44RgbPIsQWftuEv7kWlgc9y3F5dHV1cVmU0BYMtl/qCwdsvN/fq44NwVU 34Ml2iN/w82OPb3vc6egz+RBeohWGRzZhhc7pXnwZ9mO1URiLcx/weaEER6o PuO/shRvA8vtNSWuD/gwF205/oDSD6YdDEp1Ix/IM87BHu8GwDBi4oreEh+s 8mMTpMcGQbNxo63EqWnY23jY1/c3Dqw/faEdb5uBjPHU6uceXJjIUJzWrxaA nif+y1mXDyO2Rl0ZUwLgrHi9P8Phw8C4fZWk2iwcoYlThZ5OQ7d50HVO/Cz4 FaZK52kK4ENHg9xjtzlQ5UYQKhzmIYsYarpmeB7+2kBVTBQhoEeliZsiNi5A IUs+YDaEgCheOcujDgugvVOQlzNCQLdffKLVFS2AIcWlurhVCIXtVSNFhi1C MtEvreSVCHKPbA3lSi1D9leDefdicSQcuqGHvImAOFEPDK46ySCvkwX0chMC sio/wb2RJYNKHKGR6EpAF60TvffxZZCPypk3r+MIKBIRPRcy1qHahqp7otME JMcra1Cdl0WximS7p81C6LDSiysBHRuQaE1J0WCsCJJIF9eR26iEjv69L29n lggiv7IIDIxRQq/v96QnVoqgXPmW87cmlBD5D7FbxjwRVP1Z7fpYnTKirffy jT0uiqImQzT+iFZBcX5CCmoWq5DQslemWcJWJE50jfGZFEOPM7o9dvtpoCNa XlSz1eLInqXjMZKngQpsyCuS6uIof0rWlTusgVzCw6JKPcVRVnyxvpC/JqJw ssNFaeIIomWzyOe1kGYNL/BZugQ6deeqk2SiDrILTfEZ3y+JVC0F3a2r9REl KTOn2lcSrUo5Saw8pI9GC5/3JUdLohdVvubLWfro9uDb47teSyKlayZRSTsN UIfrkNdtFSnUO77SE2ZqiMi6pgf1BVJoomXLn/sDjZDXQpIgJWMN+v9//A8+ yUPj "]], InterpretationBox[ "\"y = \\!\\(TraditionalForm\\`\\(\\(\\(2\\\\ x\\^2\\)\\) - \\(\\(2\\\ \\ x\\)\\)\\)\\)\"", StringForm[ "`1` = `2`", "y", (-2) $CellContext`x + 2 $CellContext`x^2], Editable -> False]], Annotation[#, StringForm[ "`1` = `2`", "y", (-2) $CellContext`x + 2 $CellContext`x^2], "Tooltip"]& ]}}, GraphicsComplexBox[CompressedData[" 1:eJxdmHk4Vd8X/82EXA1KRZnSqCRJonXIlCSkqExNImOSkDJE+pQpRSVjikiU KKS2KfMcMt5zCZmvecrw257nd/v+np8/eM5z9tr2Wnu/33udl+hFe/0rLExM TA741/LfH6ai5NISHf1ZWv6hELIHNSReCg8j528n+IQHKASBVpGvVg8i/t8q npBAIfbGJETp7+xHYRePmm8jKMTT2PgHYcd7UUy5rb9lJh8Rpq/Vq67ag4bk pqIPMPMRbsZZ2tFmXchMmJtL6uBK4q9ApeRl/U501L6s9pISLzFGP7brmw4N ecWlH2PezUM8U5Owcm9tQ2HkjabgddzEPe5FC8OSJuQ0YsV2sJ6LOOBlZ+c9 V4+OzTiGV4dyEj/lP5Y1QC06vcvk2q+THMTpaDcJNssy5CIo99C3g40Ils4t mm/JR7G1xnfvebMSt5n2eegYZqAbJ69GLy0yE5sCk/jXCIQifZENpOtdJiKl izl2hX0cXHZfsq+RWoSTPJyZ/TNZIF+WOB++9S+82PNC8UFIIfByVajynZuB 9Rsi1PvKKiC8plrD7+IkUIk7P93t6sBiMGx6JnAMbAoE5mRlGsHGK9T3APsI 5PZcPrBWowX4JJWeXavoh5NGwlfj1lHhlbpSnPq+HnAtZBbz7aOB6kKkTN58 B0hJ1WzUHukEz8h3P16+aoVFxZ981vVd4LzByfRYcj3IRO4LEO7oAffEWfnt hytgpE2y43BXL2hePRWY8SgPKgp0pdMK+yFGrGj/J8tPwPO3YUVO5SDQmgPT xWMj4WpzEFU4fRg8V8VMX+6+AfHHHQpvao4Ak3w7q8iYDpTrF5lKHh8F4q1p TXPUU/B4/3nKW3EMzBNDe1ktU+Hyh/pTO1TGQXdDgDbJnAdNHAEpt+UmYOQZ Rd5wsgJWVfJPsEpOQs0oUlBkbQT3w/mLDTum4Oma10qCa2hwc2Elp4HQNOgW SQ+PFXZDzFW/+k3iM+DO8+QKJ/cQBCtX+G/YOguLEzOezO/GgM/+nQouKdT8 8vR+v2Yavqtmfvu88S88r2Jlm7w1Dwu2ZnJn+Oah/+cPZ3deZoKZs+7FroV5 yNZi160SZCPkNB3ztZgWQfPDY+GN3ziJubbkXoGxRXjYrR2/3ZmHoG8QqN85 swRlxloKFW0U4lJqMB0LAxwEeD4v62NeK92rko+Orh4X6siaoxAKt5OZtwgO IYnt5ZpkFYXITG377rZ5AB12uOJxyoVCdIokPJlQ6EMnNVrzrzFRCAE3l8xh jT/o+wHNL9oX+AhBWxadwpZuCJd6Ju2lUgurlHZ/Se78A9T7nNk94UVgWvOV 61Z9H2ReTQoM/ZINNmZrhA+WDsAHE1B4fysRDvXLTAzmDkGuRM9owuMAOCef +cnnFR2YXK7Y7vE6BPInX66qKsX7GeGleknvLmz1/J5UX4D3k1dgLMs8DsZS 1LaeQWPg4MOxkTryBaJapb30c8Yh+PnxeRRUBBN9OrWQMgHSLy1/vuKqA3Uf q9nBBLyf9+RvltW2gItQL4tA3BTY7LwiEFjZCYlddRcE5pfgwcxZwUvDFIJW f+2DhR8dSXmmlScvUoiDzbOr28OH0L3ZkhoHKoVwPzhdFfh8AD2pkMicCqYQ D8y3vYhL60PBDw2Sz4hSiPqAoJj80j+Il0rVZgrkI3garqU8M+yGilzjgIXh OhAb2iPWfeEPcKV0y2icLYWEM6NOZ437oM3J5DlT0XeIWJUWP6E+AEzjjaVl 1anwypHNw0BjCJis+sJvhIUCjUvimN4uXK8xzU2z1uZgX8k+IPofrpfsUMXH Fmtwscr3ueM3Ckx75FV3TUaA/J7FgME7Y6D7+62b+/NPwFzk3a/kMQ4lqUnq u1MKwGJmCJk4ToBIwZujCrI1kLz9m/OMxSTovqH7z51tgrldDZ43LaagyQ9S Sy07QHtpfKPI3BL4KFmNhnVTCMG8BX3ZsGGkbv7o2L4JCqEkbDZiHjqIfvbz EDdzKMTEtvwUi9f9aO/QWjA3oRBMATu0nS71ghtt5nQZUyEIaN2PeKrdDyMX v+ldHfoMiu+dnrgeHwR+jgXhgxVxUHPhgpWvwjAw1Svv+enmDf37JSltvDhf prk4bu6lIyy10vJu3KPg+fGy5ZPHD6EuLLtmF9MY5GbL3jFhS4R3ewNyENM4 SG/Nrs79ngOHR6nrr86Og1HHkIFyQilwlH18y724BE1r9qdKT1OIug1FGp8K 6OiZ3MGFJKwfuQcxmxTbhpDK9M0rEjhf09tsv543DCAPlmb+qxEUwtjzz6bb w31od8PoCtZ9FCJ9/cunydy96MA6FH03jo9gWxFtyryuG66Kec4Hlf+EnWof DL1E/wCTf37bzx9lULGB952WSB8M79hBk72RC+nXvKx/sg+AZkrM58rIj9Ao Z6v6APsKLehE922nFyAx2vzkCx3XY9JCwK75Gjzk/fqr3BLXo+7T0q1D5iBm WjiqZ4X1kmq94enL59Bmey7/oMkYeOrunWh99hFkvu6K/mQ+DiLn48yv6uVD tIfSFxuDCWCy36Jw6G0VUOcsDtxVn4QS+w5nj52/4OuncrRVcwpEKBESq3Jo EOXvc2vr7BIQc7Sr+zooBDfH2X7PumGUpW2aVIzrp1jBPosaB1GHYq8fWxGF aLSu/uzQ0Y+e60UdEremEFzdSV784r1Q83aw4uixH6CwMrbOl78fXLa7MP8u zQQDDlUjI+5BEFltnrDTPx7YJMv2ZC0MAaEzH8+T4QfrdVmsNlPx+fe0cN1C 5QZh/h4JiX6cf+C3es+bPuD+KEeJqXMURC4Ph37aGA869n0j3LQxGJEi0tiP YT/q8atoaxkHrg+FvplrS8DIUIWdfwH756qSjNIxCjEcRNmw8TgdeUW8TOZY oBDyO09x3z07hK5l3ulj/UUh7FJeZon4DIHniut2qZwhEClit9hvgddjcI/d j08PDAJ1F28l4vWcWL9r/6mbUOWUuz7xDdbjJXZhkcYYkHR/9fXP2WHUq1a5 NE2nEBGRM3F6t/B+TiXcCCq5DSVQ3vd2J46PcXv/wOIA9Dy+fbxmJ4731q5Q QMGQriiqzY793a06ku35XwqhnXPjSXMHHVHTfTP78XnNIMejB+aHUPAIXVq+ l0KcFOZpFZ4YQGkm/53riaUQ6sEa7Ra8/Sjlzatj8fIU4nVbTKDorl50L/zP YY4UPoJZPEtObrIL5jULIy0P18OeUQfHk8x/QJ7j1UsLj3Iwvb1B/ShLH7y+ qzVqs5gLxPq+SpXufmB6vnM2zjMNRp6LbhMbHARzt99bObxegnq3bFZ/Lc5v VNFwytMBBJMFqmKMcH7a35I+SRmCs5HadsVzo5Abr3z1zeMwSAl4YNyuPQbB QlcMz776AOUHPF3t9MaBae0O7oWEPFA82i3jpDYBDqZHtTZXVsLM769rleUm gf+Tdvyv0EaImFYnF+SnIGK1Cp/wVRqo/6zY+hbfj41xz34sYv++95ZDLmFk GBX5rjY7PUshvoqfvWM/PYiidSpCHpRRiOKVjdmTS/2IdmywuPI6heB9bB1B ZekFd8vCl6MjP6DCLsX27lgfGGVy/Hn2PQtoae+yi/sGYCTq2kXP+QTY/ODu qlMk9mvxE92iQQ9BXtUkUC8Xnw+mTfyHPm2DpFRi02zzCHjy8T85luEFNb5K Tv11o2B+gpr/48trEAla/+hDNe5X5m8mqmzIAvYLbfHPyrF/CYvef6RbDExR Dz+F4PtKMPTx+bARCnFV5ttlwoqOmDOL3gzj85rpFR8o5TaERNJ+29a24PuJ Xzci+wrWT6Ppl80/nsD3taXim48t68cq47quEXRKvZvQfoH3Y0N4g43tdRC3 V9Z5Eob3Q3v39F/VaIjerMvJ5zKMmoS+DG3H+vi8lHx/wAj3Xx5mBOsmT2jO cnHP34TjPetZ+TaKgdO+RuU3G7Efcx0srR0KAJN7VnN+2F8tT1jqXMb1PntL cN7/DR2t+HZoisDnlWXhrp3PSryeehXZPr0rMG9j3jHlsnyfvY3c/uYKPL70 Lupc+jBSaJIY4J+iEP0FAtpbhPB50jtoEsjqC1PnE44O/F2uL9ORY3NvjwQ7 PNpzcg7HJ2QMP7Dyg5tDFyrHd9NR/JUzXJNYL+671zR/8cHjk5MDayTVoWh4 kjMuC4/vLZrki3YF78OqeV9CcX60H15P3t+CLz+EDYMO4feCFuuXPI8C71RT pDfWn8jEz9pyXO8HAVpZgyN0pJUO7+dwPk6PhC8eXTmMXMueen7ooxCadnwm 5qyDSBw80p+9xv3X8+lvxpv6UUvTAyFrRQohhOJ4jA/3oijjXH7FT3wEk3TR q5quLkg/yro280Y9SGvUesiN9oBIljlibi+HbbtjnsB4L9ipz5+uVs2D+0NC HnP1/SBf86qNbSINFktvC9LbBoHpxduKuMAIOGPWeZytAOez7Wbo7h2OQP5V OfZIF+fzIdjnqugpiGnwPfpRH+/Xz0NuxqGhEBYZveOD6hjE6Iq+0dz5AQRv JPWUHxuHmN2zeT4GecC9NWtkWmkCdE2LbGrMK8HHyMJHbM8kbL8/766p3Qj+ L9joVvumwMfLrnhekQbhUyPuVlh/LD6r7nS3U4hc1/bz2UvDyIebXsKL+1G3 am8o5hxC+jXhL7Mq8HvTZkV5ygAy+CqsLHCTQvD9KU/8MfYHdBxbrsepFUHo lgNf3X73wcyt/tEAhWyQ/I+09mgewP2CQEZO5lvYndXEIlKD/blJ1ucsjz8c +84tav0R77emZvNtLhm4vmQb9rsW68+atdTf0hPmWO4GmZXj8y648XAh92tY Eb3H6F4x7h+OrJ6V8MkE/SiOtZMF4/DWRS4ni14EBnkp3AZYfzYjAl/csX+/ Zn368JQLHbG2xE/q437RRapG1/fhEGJryeyJx/14qHJSgN+ZIRB5zYJOvHsK 1YHOnw8q4PW0tEWGWBvD2ztN9gcf4/0wPu1zRdkedAa9rLiC8P3t4WcruTEK 2uiSUqJ+w+iuqoW0zDiFKJDmdMk8NgwEd5liuZoXdDpXq51cu9wPNVVNm6yB w16s34JW4/1McWTdccgf0uID9I5h/cm+H7qtNUMhwjTpojHpdJTJnkzcxud1 za3dzFGLWE9nfuZ4M1tCQU6AcYcDno/DLEq08SJUyXoX2hYMo6s9QVajWH/T E/ZKg7zDkLtRQu+g4X3gaDRoZBta9pN2D17ayJEzuZmJh8ZwvPehFM4+X0j7 Lj/OoUhHTKNnV96bpxD+8bnWtTfxeB9jf4Ga4xBwRPxewEc8XqVV2sjmFgTZ RKX53MfntclvLOeDK+R6O4kIySz7ywnrL4+UwHzDwsRRrL+mYqPej3g+ykCE bVEdHb1+2yhZg/PRM+7V/2yOx9fT/m6NOg/by1L/Hqxe9of8bSn1m2DnhZ4j Uudwf5+3rsMD6zclfNNjNiP8/rO68uf7BlAzL/rpgDiOF5Euey8uBULxyo2u YXR0j7VbbB7v79iIe5Ml+3K9R/TZJxuOWKddUY96guNpa8P9RZUhhas4gEV5 +f0GtvkuTcisS1fPw+sNMaPkdeN4yakD2s4zdMRyfu+7RbxegwsyR+0FhlEI nwBh2U8hCtfxRzHzDCLtWLeKwTcUQjbiZMovMdw/rwzX1TpCIYykt2q5Hu1F V5NE3H5m8BEenyuaItu6QIptxGsmqB72OXpx7OzrARvJwGesvBXg73Mp+9tA Lzg6vZ3fZ5kHiU2fDRvxd/xI0mULmT2fwKdz++PTDYO43pGxGusjwVTokMDj r7j+XkLCpWw3ID+u+b6nNs5nrZpGLqEHcmslawd08PmcE/G9uCEUHm7dFfyC wH4R/0GmqT0Vvj+GyDm1cTDvEk1bvysPRgXiqg8p4Pv6uqLK7M5KKAs5rLhm 5yRopm5mSdvWCD7Xfk9FS03B4L09vKzbaaDKdW+7FvYLjtVTLUbYL0w7S4aP ctJRR/uj6MvYL869eSYyThlCspSV1MpK3G9ytt5pXjeAmgTG/DKcKQT/anfp rP4/wGZUNiTjUARzt2Y6Zlr7gLg9+4zukg3HnFxVz9cO4G+RNw+p6xMhrdb3 9v0S/D1a57n/SKU/6N++0D+duOwXi9avXx4AgwS2+qZKnP+1oBKOQA/8fb9Z OLwY39eNbSrmGXGwKJn93aZgDPcz+3LUFTJhJudlmXjuOMwcl6fFoiJYrCM+ y2K/eLq01EPH35cqNh7C7R7YL/wOSnvh82DE2r3vY8gQCmxaOhGA8xU6Z8gx rIP9a+DJX2WRUGg6XulRKIPXs86BKfKZKfhvtX+/O2D5fA9JZvjZwu+dYtMq j/B+uFIyhu5HgpvR6tykwGF00tSN5RP2C61j6SObVbC+q6T/4yS9wKLBLSmU f/l8yh0WqlsBm3eEz/nwYb/Iidufc+kRGGduWdiB/cLUvOnpN9zPy35sSd+R Q0ch5YsOT/F5FZK9V7ZzGs8nr3TF3tIK4i9LhDfa4Pn49qV6e10Am0hbw+my YTQ3M1drguPvrhT+rM+Ox5/ccrGNzQ/4nryLfty9rMcZmsh5JlCwPPlnzzD2 43NJhm+kfEF3m8T94KN0tOsE684irO+nl9YfMLXD43evlRXp1AGHnqxc7/f4 /7HJKD41doZ1vsd3DdzF53Xfm4xV2W6g2rHF9+Ie/F43LYfj5CHg3hUUI4H1 R1UrmJTA86WcesCk20JH/b7z+dRlfsjmEfzOGI+3cZ28fPYsSPtx/Cgsxv+P f++mDe5iUFJaW/v5Ah3l22Q+zsR+8dnQ8dxjXfxeKIB2+cIZMDhfud59y7I/ 5VTPaG2DbD4pK9YoOhq5dL59C57f+eR2pVTm5XoTNBnO2CNO9jmUXf44vutr eGLQUZC56jimqYTfS5P32oXV4WKX+lgsXu+R2KwSI3w++iXMJC/10VF0TC3H BJ6PYE43pGbi+NzQPcFBUmAqKNHBJYjjc+tUA0Q3wQzJGrTuPc7PlbQxw+MX BRd5XSaW671b9vRA0xGfPqtXqnfws9PvwukeTVCUKP3acADH1ySuNORTBgfv jy2K5XT052N613ccL7LyrMy7xuV4D/f982tAO8pZhy65nE906466fWAXUntD bMXys5gG6NKP8OWJvaTh9ftIN2Q74ngGr5XnS6v6f3lt2qmDnyMUVv7jtRom E2ZvznL/47WGPets3xZz/uO1sq9YrjeYsv/jtfb29dwmHSz/eG1fdclasWSm f7z2ltDERG/1PDB4bf/erQKKUTPA4LWWGfmLivQJYPBay9rbPPelR4HBaxPE 3D16WwaAwWufP+PnXuruBgavfd3MeS68hQQGr02wifLlftUADF4bHeQliTYX A4PXVq7rLJb2eQMMXuuXf6Fhf1oaYvBa717XpnNnihGD12as0ukXUK1FDF4r V1Uc0KHbiBi8ViJ1JmcvtCAGr828YHlm9VIbYvDaj+LaaSvmqIjBa/vujlsW dpKIwWtzA877m3WTiMFrOURvb3g7QEUMXpt+zjvPX6AdMXgtl6r3ylCBFsTg tdK2NT2CmxsRg9e2Zd00NvWqRQxey2/gI6jCVowYvNaB1lPL9OcTYvBaYkfh sJv9q3+8NldbYVe+adE/XqtpeNNZ9XL9P14bfHmd2ilz8h+vtTmdsK/iWPc/ XmtjHLjgLT/wj9cmG9wq0Fgz+o/XhtgIXot+OPGP1w5SWCxWBMz847XJq3jj jL7P/+O1vPEkfe11JoLBa3nN3kREVbMQDF67/2iUeZc4+z9eu9epazzkAec/ XusQtv55JcH9j9eWVXxZx9PL+4/XCre36/n0/o/XHvq/+mDw2kmHBZW8F3yE yDmdirvFuUAvGTeq2V6JmuLC8zJTSkA+ImFWdfAnyoi/8nXGqgZS7j4sf2HZ hLZ6l/YY6daDolwU3eVrK1p3+tuz14pNYMlnaEYKU9GDLcpVrXva4LxL1mnH RySKcQhuaJwgwZB6Z9P8Eol+zlhG9Q52wLWYW6Km/5FoXUbt0/Odv0GVZyxU Dscz+O+MF7/y7i+tiMF/m9ydVh9WaEIM/rv7SrRn38BPxOC/NdP754rUKhGD tyYadm1Unvgfbw2jz2ouHKcQJaTe9omCb3BrhV7zzIkyJN+3wSMmpgg4WS7m RcfUIeLTJ1Pb6ipw/Lx/quPyL+R9Qbz9mtlPkKAWnbzG1oqU/ftKbA7+goX+ qH2VYe1IgvUn84xCK5QeXNHIpEUil64zm7+xkxCrald2boZE8aYHaHLWHXAm 0f9aKCKR2GjNr1NWv8HT6ueFsEdUxOC383PJhgV2bYjBb9138K1jlm5GDH77 fMH5HS9vA2LwW3OTaarVxhrE4KWdMlyuF/H972K6ia02pww0aZufsG9rQGU3 rhcr2NRCv2TFyhXGzajklf2IunID2H65G3H+chsaEH5s0abcDLPlwaTmUyoa PJwajsTa4Uq38T7T7yS6vHhZfeY6DXi1xYzfzpKI6UmEcbhdJ8w5Cn3MUiER t2ud3qXzXXCG41fGg5h2tJU9fGjEpAfi6cl3iodbEIN/Ohx3PCgy9z/+2fOQ +vUH7j/9b+52sKd+BSl23sT8hhLU+6jZ5OmLH/Cq/qPVrYlatLsnQX9XZSUY WJjX97c1Imk93abxnjrwiv3uExLXghoTPDpq0htB4ManZrYT7Whs4uUmjrwW 2KOZPNMgjte/OVtFOpAKahrfD+vQSRT8eBOz6c4OEKIZizyoJ9H2IN3Z6t2/ QdBtD5PVNypi8FSWQOl85cI2xOCpXH3ap2pfNyMGT3V3W5PQENaAGDxV0Ubl 3FR1DWLwS5EqoTM3BijEdubWzsKMUmBbodSS96geEQHWeRsGaqBiaqXHua4m 5BwSMVBdUg9peraFqavakOehbR4EaoKBLPEDO85TUbaUS3rl2zbQK+WdyYwn 0bmXYU375GiQ5tbeHrxIov4f3nfypDpBpUomcIMlifjX698gN3fB62/Wlom0 drT5UFXkOaEemHs5/XTN6VbE4JEp6xteLPPoZIdTH7iyf4Fd6U5T67Z2dGYV d29feivcG7uo9dCGRP5J47PH7pAw78wq0L9AopxdJxEluQMc+vqv+eH1CJ3S +/zrzW+Qp1sdkT5DRZu1ejw/RrTD84pE5ot1JLK7sD/9+3saWOhrh6mMYr2b fz58I7UTggNlHx7ZQCIGb5wY+zpOWfgfbwy213pcX0ch7HI3rH0/kA1dLyom JtaVIMLk0Am+dT+g7cpUVWVELXq1FKvNrV0J6gXJNy2fNSLO0p7TmUl1wG12 w7PueguKzSgb8r7RCKHtru3Bku2o2dZz+0qfFvCPiGC5TMH1/DpQb6VPhVuK bXMufSRiexf4eHRFB6y2DINb7STaacrPHcj3G4rCnRfm6qmIwS8l30Oq7VAb YvBLwYKS3PT2ZsTgl0Ldtot/WhoQg1/K8nj079lRixi8ULJ4W83fPgrhWadQ d0SmFE7+6A18qFiP5l5YHvkvqQZyfndZzcc3IR3u/VZP/eshxS0yi/1PKzqu 4fho7E4TGBkmBq1QoqLYeOO8eus2cPRjrf/vBYkarFJjdQRp0MW+b+tn7Lem 5OTK0ys7wc2SogyuJFrTs8onkqkLkj7W2F9cakebTvXeDPrbDYUa14zi77ci Bv+T2eHXmDmJ+8u7UTnZLr/gcqVugGh2O1J6ODwxcqsV8m+f+ZZ1nkTeGlv9 7ymTsPegomDIXxLtU8s/GfeoAx7MTf58/IlEW8RWFYf6/YYQ19zc09epiL2g LCDTrB1eojj1+hIS9e3VvtMaRIPwt9mi3ZMkeuS6o4IjqBN6P3be99hDIgbf ywrOW7XMo+28HnyYKqXCqegXu1QnSLTJ5a1DmVYHUCdT9oSU4fsl/UlCUXcb TCs15C2lkYisuEMRMMD9iOI9Nf95EoWtzL/Kn0UCN1th7kVcH7laZqek5nYw 4bW/yNlKoomQjQOx5TRwOvYrK3eARP94nOOFdr/F//G418WLryzw/lGv8Pcc d8yGqcQ3Nzo+F6NBtT7V4/WF4NREvnniUIuMeaNLXXkqYdGRFqLm1IjG2NKe hvvXQeHES+dIoxZ0X3FkvFW/ERyFtAfGVrcj7aSxlOArLfDDNaf7JxuJ6v9j i7ovSwWudK4IhR4SfT9YcvbrLA1k/DQI/w4SJas5rLZd6gQZvdhtdjQqYvC9 zSHZP6OY2xGD76VXKR3/MduMGHzPZevdmIj5BsTge8EiR4uvnq5FDJ7mbbeS n8D57f7aX3p7pAQcKn0D/ltbj4xE/swTD2vAubX93YBfE1JQX0xwtqsHiaJ7 yedrW5F01bPHx02aIHlva0moFBWt/V2lYXSiDQJeSIq8DCHR6trDHCYraOCs 6cI9iesvaLO3cfNCB2Tzhzyy9yLR08rr/u6jWG+1K7ZY8VHRRvPJjh0D3cA/ vq6XO7oVMfhYlXHu9Dy+343ZC/PXGP2C+aa6D8/ftqMPRea3nc62gs34tMGc PokWBI6cjhEngVjrfH71HIkGa/+ut73dAfLUINf0LNyfrLhe7eTyGxovO74P uUtFLkuKaxWV22GbjabG5wISST5r6ujzpEGyLiWxc5pE6hyXntbc7YTszTrO 3+RJxOBfLg9fi7fh+63vZKzrmmQqvC6tEO7GftfI1in/VKED1G/VM6dU4/hR 9j1axW1wXPiQ5Wwy9k9ZbidxNRrwy9TeTsL+uqqtRVrqJQmtT9hO52N/T1rp NCf1tR3E7ht8q23E+pqLP/khhwaqr2VCIodJxOBVgzov/izzYnKwjueEAxXk BO18PQZJ9JxFXInYRoPX695aA643pytvgYUZCbbvc5lasB6SS5BgZRQNmk5J FKWOk2g8zf5P8x8q6JdIXLGeItGrK6NJHJdo8D18XEEO63sTJEaNN5LwX7Gy UTmej8Gfgo3XNhxd+h9/Eg54fjoN709YJs/JlweyweaS7n/J94uRikJertWn QgBjCwWTc7UoO0T4wb6BCtj5LjL95cVG1PtqffqjO3VgXlmQOnS8Bc0usdx6 oNIImovSk9wr2tH9kl2O+mdaYOvpRj7nJSpaPRrMErqVCpSTHHfud+F6LnYp xYzSwF+qW+jubxLZHIoJa5vuhJHTzzVW91ARg2dNNTvti+JpRwyetV3IQi2D swUxeJYl15bqCysbEYNnZUZUnbO2rkUMftSjnSndiftr79R8tfDqElja1JNh z1SP7l+SbBNyq4FXXxZILZcmJN11qfiqWT1EuHJfvl7UiuIeJ62d0W4CJap9 b/5WKtJh5uLZeKQNTCn5CyuDSPSRzVu+i5kG85r3ApZwfZ1ltLNZJzvg9W3B lfa+JDqdF8s/2PcbjHgeMP8SoKIXPX/XT3d2w+rN1/6Kv2tFDB6kzyywIhrX v6qkUS1X4xfsjQ1S+xrdjvq7XhyR02oF9gj9Jh8dEincKctKWUsCx0W3ACXc 3x17Ljivd6MDWnpit7/PIdGFhZhTXQ6/YZH1fcomXypKE3b+tbCvHaRTJTxW 5ZHoR9nmtdddaTDGKnqnAve7cRUeLhnOnTA4oFlWoEQiBu/hXa0jdRfrQ/KL FFU0kgo8308kxIyQaH/5opCrTAfk6yRriON+wZMCozyZbZA5O+FISyTR16u6 8UlKNJh5ZJYggfWgc/Rq6GF/ElgO++81wc9du95/o79rh+K9emKxuJ+rkRry OphBg8EPxXzTuN9j8BkuTdshW6wPIQMzh/MXqDBk9l6BFfu7nJyVffEWGrQU TOR74Xqr0p5vu6lLQlcCB6cS1ofWPPtxg2c0qPp0y64W3zfSG+eP9zZRwcrq T74pvq+IFwfbA87TwCC2QKEX68Mo/gArSwkJZpt4OKPwfAze4hC40LTMZ50i J3828NOgsM04pA2/z035OPJYhoQT5y/INmN/ustUqByhTYNFG5nzYtgP6p10 KjYnkfDAy8Z3Ax4/W9XGnbWHBsSi1hY6zr9slaepkR0J5RrX2K3weOovIYXu bhLuc1mm9+PxDF7i2famNhbrU0FWUJhpbpmnd5zxd8k78v8//x8pkhDE "], {{{}, {}, {}, {}, {}, {}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl0t1PzXEcwPFz6qKZbtylklEUQqHaukhJLszDVjqKzVbRpYweuCA9lx7w B+T5ktJNNbXZGOPKFQq3pW5q0WbTZr2+c/Ha+/v5/HZ+53d+ta22ofxyXCQS iTJJg+GNnrDYwDlqzHn6S8v1lR7XBKq5ay6N/r9JjA+Op3Qj252T9LMOc8w5 nqvOhfpHX4f7kmte0nH6KTH/0/ccJss8py9op8i8pm+pJd/8W6e4Rzqb7b7o A65RwQG7ZZ1ggGJ22c3rCB3UkUGy/Vd9SCNnwnOx2/6njtLJRXaQYj+jj2ii kiPssV/Ql3RxiZ2k2s/qY5qJhXdJJltc+6ZPaOEsR8N7IM217/qU61RRFn5H eLbwfWSzl33sJye84/D72erzP/QZN6gOf5vwGftFHaObegrsVnWa++EZzFE+ Op/WRM5z0Dyk4R/qEPXEkc0FZlz7S4ZzjHHnT6yQYj7JsPNz3oX3yya7Ugad B+jnDn300kM3XXTSQTtt3KaVW9zkivusA3ApVRE= "], VertexColors->None]]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl1WWQlWUYBuA9wNIlDRK7IGAMoXQjIyrdAxKLYmzvgomEwi+FGUHpGpMG C3AEFQRFUQkpdQwaHSnFAFlCuB74cXHfz7M755z9vvd8pI7K759XKCkpKcFH /hlOC4vC/Kh/yKtMZwRpjORBHmIUD/MIj/IY6WSQSRbZ5JBLHi29dhF+0tfz Gi+TTyv7ZH7WN/A6r3CPXQV+17/kbUbT2q4ovyRufP43mEFXu4qc0LfxDmNo Y1eMA/rHvMlM7rWrxEn9K97lcdraFeeg/glv0dtck7/13cziPnNlTulf8x5P 0M6uBIf0jSymj7kW/+h7mM395iqc1r/hAb0hV/T3GaCn8p/+Xdwn/fa4cTxp bi9Lcjjuj2zEJn2wrM+luE/yTpbofWVtMvg37qVsQg57zcPkbWRxNe6tbEYu c8zdZFXSORPnQTYmm+3mofJWMvk/zoe8izX6QFmXC3F+ZFO+j/Ml7yDBU+YO shRH9E8Zojfgsr6Ufnodzun7mEt3czX+0HewlkHmehToP/A0Hc2lOapvZhn9 zSmc1/czjx7m6vyp72Qdz9DJrgzH9C0sZz497WpwVt/FB4yls11ZjuufsYIF PMvd9uX4Vf+clSxkHF3sy/ObvpVVLGI8E+I74Gf5DNQvOg4d5GQ5RBaJc8lq cz95XDaMv12WlL34Qh8kr8jOcqosGvc3Prt+hqZxreUmztMmvktyEfupak6V 27hKF/M0uYG/aB7nQ26hgPbmSXIVx2gQ91pOYR2naRJnVI5mIfuoYpciR/I8 KzlK/Tj/sg/5LGAvle3ryDSeYwVHuCW+l7I3ecxnD5Xsa8sRTGQ5h6kXzwHZ i1zmsZuK9rXietCTHObyLRX8rKa8mRpUp1pcq/g74rPF+8VrxO9yE+UpR1nK UJpSca8oQXGKxf2hNT3IZg674jW8Z7JsRXeymM3OeO04D3I4E1jGIerat5Td yGQWO+Jz2BeWwxjPUg6Sat9CvshaTtE4nl8yg5lsj78hcf3RlPQS6zlLs3gu yM1coF2ccbmEA6SYm8utXKaT+QWZHK/PGv0kjeJcx/WI72c8V/UB8lxcF5ku B8f705UZ5r7xXI3rmrjxf901ihbKSw== "], VertexColors->None]]}, {}, {}}, {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[CompressedData[" 1:eJwV1HlgznUcwPG1w8amRLp2yEpUrLQyR7aiWQdNU5ujcyipTLlShMhRObrL WXTRRUUnHVQKHSqd5Cq3El3u1+eP196/7+fx/PY839936ldWlfU5IiEh4So/ ojX9+Fw76kNarIlUcKN1c/1bO+lCvVTTKHHdRLfqa1zkOoUxrot0vy7hHE6y Xq3PcietrP/TD+hKvvWf+hbjSeRIs2X6ML3i/uSZbdPXGcu51Ddbo89xF91I 4ijz5foIN3Exzcg1/1WfZ0jsA8nUMl+hj9KbSygghaO99oU+xs2xB7EvVCOV NKpTg3QyYl/jO8TniHvHPahNHY6hLsdyHMdzAieSSVb8W7/zS32cW2hPC7Lj Hl77Sp/gVjrQkpPN1+oLDOVqcuL3mX+tT9KHy+IZcIr5Op3N3VxDvfhs5it1 MlWUch4NzNfrHIZxbTzb+B7m3+gU+sZZ4kyz7foG42jNqWYb9EWGxz2t/9cP uS7OivUufZsJtLE+pJ/Gc469sv5Wp3Jb7If1P7qIyznLeofOj+ftuhr3uT5f D+iV+nHsl9ag0HVD3Rjv15e0RJPpzIj43LpXr9AqB/OjeBauq9OV6+Mc6l9a pu/E2dFUujDRum38oVHO0th/TSc3nr1+p9No5zqJ2+N56r/6ftyXptY7dQH3 c4H1Qf2EIhpZ/6Yvcw+F1vt0MZU0s96t7zIpzkqcObNVOp1+dOJssz/0TR6I veM0s9/1FUbSPc5OnFfz73UG/WOP4nNxuvkmfZVR9IizQ6b5D/oUA+J5xDPm DPPNOpd76RlnhSzzH/VpBlIeexnPjGyv/aQzGUQFF8Y+kOO1n3UWd9CZ4vge 8dni99GYJuTFWY2zE3sc35963v+LPsNgusSzifeYb9F5jOYGCsz26Hs8GJ8h /l/lM9elmkE38q0PA3sbkrg= "]]}, {Hue[0.9060679774997897, 0.6, 0.6], LineBox[CompressedData[" 1:eJwV01WYVQUUgNFLh3QpndIgJZ3SSJeUID0DM7R0h4QSSooo3SmtIA3SndIo KCDdzToPa/a/9/2+ex/OmYytOtftFCUUCiXzpxmfRg2FonFOb+AXxvMlzWnB V7SkFa1pQ1va0Z4wwulARyKIJPihwr47On/pjcxkAp0p4h6D8/o3ZvE9FdyS 8J/ew3K6UNQtJhf078zmByq6JeWm/pMVdKWYWywu6k3MYSKV3JJxS+9lJd0o 7habS3ozc6lpT8NDfZRJVLYn57bexyq6U8ItDpf1H8yjlj0tj/QxJlPFnoL/ 9X4a62y80b9ST2fkmT4VPCedkxA97CXNuFwJno+Zhy36C/NjXgXPyczPfF3b TEcYj4NnaX5CBMftTc0cdOBd8GzNgkQyxV7V/JD23AneBzMvHTlgb2JmJ5y3 wfthFmC1rm9m4nnw/pj5OB28X2YuovC1vZT5AVf1VhrprLzWC6ij0/NEn2Aq 1ewfcVcfZA0N7Jl5oc/Qk9L2eFzT21hIXXsGnuqTTONze0ru6UOspRdl3OLz t97OIn6kulsq7uvDrKM3Zd0S8I/ewWKm04dy7gm5rneyhJ/oy2fuibihd7GU GfSjf/A/4LMB5kAGMZghDGUYwxnBN4xkFKMZw7d8x1jK+57E/Kt3s4yfqeGW mgf6COtpaM/CS32W5jo3UWlHIToxzmfvAV5uirw= "]]}}}]}, AspectRatio->Automatic, Axes->True, AxesOrigin->{0, 0}, GridLines->FrontEndValueCache[ analyse`grids, {{-2., -1., 0., 1., 2., 3., 4.}, {-2., -1., 0., 1., 2., 3., 4., 5.}}], GridLinesStyle->Directive[ GrayLevel[0.85], Dashing[{0, Small}]], ImageSize->{373., Automatic}, PlotRange->{{-2, 4}, {-2, 5}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Automatic}, Ticks->FrontEndValueCache[analyse`ticks, {{{-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm]}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}, {4., FormBox["4", TraditionalForm]}}, {{-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm]}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {0., FormBox["0", TraditionalForm]}, {1., FormBox["1", TraditionalForm]}, {2., FormBox["2", TraditionalForm]}, {3., FormBox["3", TraditionalForm]}, {4., FormBox["4", TraditionalForm]}, {5., FormBox["5", TraditionalForm]}}}]], TraditionalForm]], "Output", CellChangeTimes->{ 3.416495800578127*^9, 3.416495919798959*^9, {3.416496137577732*^9, 3.4164961434338818`*^9}}] }, {2, 3}]] }, Open ]] }, Open ]] }, WindowSize->{808, 919}, WindowMargins->{{526, Automatic}, {Automatic, 0}}, PrintingCopies->1, PrintingPageRange->{1, Automatic}, ShowSelection->True, FrontEndVersion->"7.0 for Mac OS X x86 (32-bit) (February 18, 2009)", StyleDefinitions->"stylemath.nb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[567, 22, 157, 2, 38, "Subtitle"], Cell[CellGroupData[{ Cell[749, 28, 631, 17, 39, "Titre2"], Cell[CellGroupData[{ Cell[1405, 49, 1115, 30, 66, "Input"], Cell[2523, 81, 15716, 277, 203, 8088, 151, "CachedBoxData", "BoxData", \ "Output"], Cell[18242, 360, 1443, 25, 60, "Output"] }, {2, 3}]], Cell[CellGroupData[{ Cell[19722, 390, 296, 7, 34, "Subsubsection"], Cell[CellGroupData[{ Cell[20043, 401, 1171, 31, 84, "Input"], Cell[21217, 434, 12483, 224, 167, 6698, 127, "CachedBoxData", "BoxData", \ "Output"], Cell[33703, 660, 927, 19, 56, "Output"] }, {2, 3}]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[34691, 686, 625, 17, 46, "Titre2"], Cell[CellGroupData[{ Cell[35341, 707, 780, 25, 55, "Input"], Cell[36124, 734, 43864, 739, 238, 36761, 621, "CachedBoxData", "BoxData", \ "Output"], Cell[79991, 1475, 628, 11, 61, "Output"] }, {2, 3}]] }, Open ]], Cell[CellGroupData[{ Cell[80668, 1492, 753, 19, 39, "Titre2"], Cell[CellGroupData[{ Cell[81446, 1515, 498, 16, 27, "Input"], Cell[81947, 1533, 567, 12, 45, "Print"], Cell[82517, 1547, 17220, 318, 371, "Output"] }, {2, 3}]] }, Open ]], Cell[CellGroupData[{ Cell[99786, 1871, 984, 24, 46, "Titre2"], Cell[CellGroupData[{ Cell[100795, 1899, 529, 17, 19, "Input", CellOpen->False], Cell[CellGroupData[{ Cell[101349, 1920, 1105, 20, 64, "Print"], Cell[102457, 1942, 1103, 19, 45, "Print"], Cell[103563, 1963, 531, 16, 52, "Print"] }, Open ]], Cell[104109, 1982, 24429, 427, 257, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[128587, 2415, 713, 20, 39, "Titre2"], Cell[CellGroupData[{ Cell[129325, 2439, 1179, 38, 66, "Input"], Cell[130507, 2479, 19424, 341, 447, "Output"], Cell[149934, 2822, 798, 14, 52, "Output"] }, {2, 3}]] }, Open ]], Cell[CellGroupData[{ Cell[150781, 2842, 806, 23, 46, "Titre2"], Cell[CellGroupData[{ Cell[151612, 2869, 1488, 45, 69, "Input"], Cell[153103, 2916, 38724, 657, 261, "Output"], Cell[191830, 3575, 1416, 27, 61, "Output"], Cell[193249, 3604, 1206, 24, 61, "Output"] }, {2, 3, 4}]] }, Open ]], Cell[CellGroupData[{ Cell[194507, 3634, 1139, 34, 39, "Titre2"], Cell[CellGroupData[{ Cell[195671, 3672, 999, 30, 58, "Input"], Cell[196673, 3704, 749, 16, 45, "Print"], Cell[197425, 3722, 27217, 482, 443, "Output"] }, {2, 3}]] }, Open ]] }, Open ]] } ] *) (* End of internal cache information *)