Newer
Older
Lecture_repo / Lectures_my / NumMet / 2016 / Lecture12 / simplex.nb
@Danny van Dyk Danny van Dyk on 21 Nov 2016 133 KB Final version of lecture 12
(* Content-type: application/vnd.wolfram.mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 10.3' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       158,          7]
NotebookDataLength[    136282,       2497]
NotebookOptionsPosition[    134055,       2419]
NotebookOutlinePosition[    134391,       2434]
CellTagsIndexPosition[    134348,       2431]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{
Cell[BoxData[
 RowBox[{
  RowBox[{"f", "[", 
   RowBox[{"x_", ",", "y_"}], "]"}], " ", ":=", " ", 
  RowBox[{
   RowBox[{"x", "^", "2"}], " ", "+", " ", 
   RowBox[{"y", "^", "2"}]}]}]], "Input",
 CellChangeTimes->{{3.688712928021455*^9, 3.6887129432012253`*^9}, {
  3.688712982393343*^9, 3.688712988120947*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ContourPlot", "[", 
  RowBox[{
   RowBox[{"f", "[", 
    RowBox[{"x", ",", " ", "y"}], "]"}], ",", "\[IndentingNewLine]", 
   RowBox[{"{", 
    RowBox[{"x", ",", " ", 
     RowBox[{"-", "2"}], ",", " ", 
     RowBox[{"+", "2"}]}], "}"}], ",", "\[IndentingNewLine]", 
   RowBox[{"{", 
    RowBox[{"y", ",", " ", 
     RowBox[{"-", "2"}], ",", " ", 
     RowBox[{"+", "2"}]}], "}"}]}], "\[IndentingNewLine]", "]"}]], "Input",
 CellChangeTimes->{
  3.688712754537912*^9, {3.688712922057598*^9, 3.688712993336817*^9}}],

Cell[BoxData[
 GraphicsBox[GraphicsComplexBox[CompressedData["
1:eJyNnQeUlUUS71F3TYgRUTBgWhMYVoVFV+0xPyOimFeMGNYMRhRQV4UVdjFH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   "], {{
     {RGBColor[0.148, 0.33, 0.54], EdgeForm[None], 
      GraphicsGroupBox[{PolygonBox[CompressedData["
1:eJxNmF2MVdUVx8/9mLl3zrn3DC1QPpI+1I+mYiwM2ET5SJHLPADGVgZoghgR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         "]], 
        PolygonBox[CompressedData["
1:eJwllEtIlWEQhj/P+b2c/5zzH8suqwKzoHZa6yCoFpVUSBBkkkWLpOOlIi9d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         "]]}]}, 
     {RGBColor[0.4109375, 0.448125, 0.5775], EdgeForm[None], 
      GraphicsGroupBox[{PolygonBox[CompressedData["
1:eJxNmXmQVcUVxu+8mXlv5r777jOJIkYjKhi3StxFjVGgSjGCCqgoLoiaEgRB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         "]], 
        PolygonBox[CompressedData["
1:eJwtlmlslUUUhqd35X73u99FRdwtS9mjkR2RPaFFKCIgBJAdowgUFLQESBFK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         "]]}]}, 
     {RGBColor[0.6065625, 0.516875, 0.4625], EdgeForm[None], 
      GraphicsGroupBox[{PolygonBox[CompressedData["
1:eJxFmgm0VNWVhus9HlWv7r11qzvdUZvGCDI69CCggqAIqEE0NqOACo4YTQIo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         "]], PolygonBox[CompressedData["

1:eJwtl3m01VUVx3/vvvvu5f6m2wSZYfCA9xgsXQIyyxgaBmiwiEHRdAGSKCij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         "]]}]}, 
     {RGBColor[0.8021875, 0.5856250000000001, 0.3475], EdgeForm[None], 
      GraphicsGroupBox[{PolygonBox[CompressedData["
1:eJxNm3fYVcXVxe/73ve2c885V0oURVSwooCigkhRERRMRMWCKDaMIDYQxVhA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         "]], PolygonBox[CompressedData["
1:eJwtmXfcz+Uax79+z/N7Hs93/doUykhSyAihzDppWZWEdkZGZtuRrT2ItM45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         "]]}]}, 
     {RGBColor[0.915625, 0.6590625, 0.33843749999999995`], EdgeForm[None], 
      GraphicsGroupBox[{PolygonBox[CompressedData["
1:eJxNmnfcVeWRxy9wy3tPu4pCgp0osSBNBXUtZMXQpRNrDKKxgYqxLKgRDSQ0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         "]], PolygonBox[CompressedData["
1:eJwlmHeYVcUZxs8ue3fZe885l25oBh6i9CrSpBghVENbUEGDBpQmKkjgAUEQ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         "]]}]}, 
     {RGBColor[0.946875, 0.7371875, 0.4353125], EdgeForm[None], 
      GraphicsGroupBox[{PolygonBox[CompressedData["
1:eJxFl1lslVUUhf/2tvdy7z+URhIGw2QikULgAR6kMpgwySQKUbRICCAafFBD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         "]], PolygonBox[CompressedData["
1:eJwllm1MlWUYx28O5xw4PM85iFkITai2mkqxatVWYbUUTMNesDK1xsTK9SWb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         "]]}]}, 
     {RGBColor[0.978125, 0.8153125, 0.5321874999999999], EdgeForm[None], 
      GraphicsGroupBox[{PolygonBox[CompressedData["
1:eJxFlk1slVUQhj/a296f797vYKH8qWg3UiVs2ClCMMGNigsTRRNBBBWiBleG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         "]], PolygonBox[CompressedData["
1:eJwllMlLlWEUxo9Xvdfrvff7LMlMG3BXWbhoVREU1KZpURQFDSbaTK2KNv0F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         "]]}]}, 
     {RGBColor[1., 0.9, 0.65625], EdgeForm[None], 
      GraphicsGroupBox[{PolygonBox[CompressedData["
1:eJw1VE1sjFEUfV+/0e8bbb9rCFXGorSJFQkSwYa9jRE6k6ZabadNWz9px4zp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         "]], PolygonBox[CompressedData["
1:eJwlks1LllEQxQdf9Xn8eO9oaaZ9QNBawSLQlYHbNoJWm8jX0tBQ8gPtj3Bj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         "]]}]}}, {{}, 
     TagBox[
      TooltipBox[
       {GrayLevel[0], Opacity[0.5], CapForm["Butt"], 
        LineBox[{2422, 3986, 3438, 3642, 3641, 2628, 3817, 3818, 3814, 3816, 
         3815, 2524, 3861, 3862, 3860, 3864, 3863, 2756, 3947, 3948, 3944, 
         3946, 3945}], 
        LineBox[{2429, 3987, 3447, 3649, 3648, 2637, 3824, 3825, 3821, 3823, 
         3822, 2525, 2742, 3827, 3829, 3828, 2741, 3928, 3929, 3927, 3989, 
         3988}], LineBox[{2476, 3567, 3566, 3799, 3798, 2727, 3848, 3849, 
         3845, 3847, 3846, 2526, 3851, 3852, 3850, 3854, 3853, 2752, 3937, 
         3938, 3934, 3936, 3935}], 
        LineBox[{2482, 3577, 3926, 3925, 2733, 3868, 3869, 3865, 3867, 3866, 
         3870, 3856, 3857, 3855, 3859, 3858, 2755, 3942, 3943, 3939, 3941, 
         3940}]},
       "7"],
      Annotation[#, 7, "Tooltip"]& ], 
     TagBox[
      TooltipBox[
       {GrayLevel[0], Opacity[0.5], CapForm["Butt"], 
        LineBox[{2425, 2834, 2423, 3046, 3047, 3045, 2550, 3212, 3213, 3211, 
         3579, 3578, 2483, 2421, 3962, 2974, 2936, 3215, 3214, 2557, 3607, 
         3608, 3058, 3057, 3239, 2842, 2880}], 
        LineBox[{2441, 2846, 2434, 2490, 2978, 2977, 2563, 3237, 3238, 3236, 
         3354, 3353, 3826, 3232, 3233, 3231, 3235, 3234, 2556, 3054, 3056, 
         3055, 2428, 2837, 2876}], 
        LineBox[{2467, 2861, 3764, 3294, 3295, 3627, 3626, 2607, 3307, 3308, 
         2964, 2965, 2471, 3372, 2475, 3970, 3371, 2968, 3331, 3330, 2611, 
         3029, 3332, 3582, 2519, 3333, 2866, 2919}], 
        LineBox[{2480, 2523, 3346, 3149, 3150, 3034, 3347, 3810, 3811, 2972, 
         2973, 2481, 3375, 3326, 3327, 3325, 3329, 3328, 3028, 3027, 3141, 
         3140, 2469, 2514, 2911}]},
       "6"],
      Annotation[#, 6, "Tooltip"]& ], 
     TagBox[
      TooltipBox[
       {GrayLevel[0], Opacity[0.5], CapForm["Butt"], 
        LineBox[{2629, 3218, 2630, 2836, 2835, 2939, 2938, 2937, 3646, 3645, 
         3217, 2975, 3049, 3048, 3216, 2484, 2424, 3440, 3439, 3644, 3643, 
         2558, 3653, 3654, 3650, 3652, 3651, 2488, 2430, 3068, 3069, 2979, 
         2980, 3247, 3248, 3245, 2643, 3246, 2847, 2848, 2653, 2957, 3479}], 
        LineBox[{2635, 2873, 2870, 3446, 3445, 2940, 3228, 3227, 2555, 2976, 
         3229, 3974, 2487, 3230, 2838, 3881, 3882, 3880, 3884, 3883, 2636, 
         3671, 3672, 3668, 3670, 3669, 2841, 3673, 3243, 3244, 3610, 3609, 
         2566, 3401, 3402, 2951, 2952, 2953, 2886, 2887, 2666, 3260, 2665}], 
        LineBox[{2709, 2906, 2507, 3546, 3545, 2963, 3293, 3292, 2606, 3624, 
         3625, 3134, 4013, 3133, 3306, 2864, 2474, 3565, 3564, 3792, 3791, 
         2824, 3796, 3797, 3793, 3795, 3794, 2869, 2479, 3147, 3148, 3146, 
         2616, 3344, 3345, 3343, 2732, 3809, 2522, 2971, 2970}], 
        LineBox[{2960, 2961, 2898, 3755, 2698, 3284, 3286, 3285, 2601, 3017, 
         3018, 2508, 2466, 2862, 2470, 3553, 3552, 3923, 3922, 2719, 3784, 
         3785, 3554, 3555, 2472, 2865, 2477, 3143, 3144, 3142, 2612, 3336, 
         3337, 3334, 2728, 3335, 2914, 2915, 2729, 2969, 3572}]},
       "5"],
      Annotation[#, 5, "Tooltip"]& ], 
     TagBox[
      TooltipBox[
       {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData["
1:eJwl1VdwVVUUxvGDlQQIRRAVy+RBxxZ6EQSj4hjQoWOj915EQYmRhFADQQFp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         "]]},
       "4"],
      Annotation[#, 4, "Tooltip"]& ], 
     TagBox[
      TooltipBox[
       {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData["
1:eJwl1F1M11UYwPFDczZ566KLvAATUGguta5qUimQNy7RINBJ1taEoc1Q/qit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         "]]},
       "3"],
      Annotation[#, 3, "Tooltip"]& ], 
     TagBox[
      TooltipBox[
       {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData["
1:eJwl08tvjFEYB+DTatHrWCCCaCuq6I7Si2slrrWSSEjcN65twxLdCKZG24VE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         "]]},
       "2"],
      Annotation[#, 2, "Tooltip"]& ], 
     TagBox[
      TooltipBox[
       {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData["
1:eJwl0rlPVUEYhvHvAgmiiAIusdDkctFIp/hfiInG0iVBtFRAEYgWggImBIMs
gnHhogmi3rhEWYKXwsatobWwltpK0Eb9TSyePPO9852ZOXNOtqXteGsmIgo4
szGitSqiHW1Yw+2KiGebI56iR30NmU0RfdyPXtzAdfzCuP63et+gw3qDshL9
pZiT7a6MqJHPqeexkCzPybfLl9TvUMSS/ChfkY+nvXmExzCK7+oTWyJOIlCC
DHrkD81P4R4e4D5W5afMn0Yp3qvLuI+/4Zj9DjpHnfEBzvGrdAf8gof5JY/w
a67nRn17+RCveL7BefepH5sf4M+yL5h2L5/QL8ube4Rp7FFP8l0U9S0jr+8D
es3dSXfLE7yL91v/Ktfbbyfn5Du4jme9S7fxLeNF6yygSz2k3sZZruUZfR89
32l8xHqX03dP985d3I21tLcz/E53zQVrPcfN9F7pHzF/Xt8F/DD+mb6NvnVz
Q5zXO4Vz8kuys3xY79e0p7wJs+oN6mpnaeFlLuKJvFy91biZ/+IPLlb9/0f/
AdASXSs=
         "]]},
       "1"],
      Annotation[#, 1, "Tooltip"]& ], {}, {}}}],
  AspectRatio->1,
  DisplayFunction->Identity,
  Frame->True,
  FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  Method->{"DefaultBoundaryStyle" -> Automatic},
  PlotRange->{{-2, 2}, {-2, 2}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.02], 
     Scaled[0.02]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.68871296422512*^9, 
  3.688712993853073*^9}},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"]]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{"f", "[", 
  RowBox[{"1", ",", 
   RowBox[{"-", "1"}]}], "]"}], "\[IndentingNewLine]", 
 RowBox[{"f", "[", 
  RowBox[{"1", ",", 
   RowBox[{"+", "1"}]}], "]"}], "\[IndentingNewLine]", 
 RowBox[{"f", "[", 
  RowBox[{"2", ",", 
   RowBox[{"+", "1"}]}], "]"}]}], "Input",
 CellChangeTimes->{{3.6887136649494867`*^9, 3.688713678929882*^9}}],

Cell[BoxData["2"], "Output",
 CellChangeTimes->{3.688713679579382*^9}],

Cell[BoxData["2"], "Output",
 CellChangeTimes->{3.688713679580961*^9}],

Cell[BoxData["5"], "Output",
 CellChangeTimes->{3.68871367958222*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"m", " ", "=", " ", 
  RowBox[{"{", 
   RowBox[{"0.5", ",", " ", 
    RowBox[{"-", "1"}]}], "}"}]}]], "Input",
 CellChangeTimes->{{3.6887139018217287`*^9, 3.688713913096216*^9}, {
  3.68871638395407*^9, 3.688716390401351*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.5`", ",", 
   RowBox[{"-", "1"}]}], "}"}]], "Output",
 CellChangeTimes->{3.688713913340218*^9, 3.68871639083916*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"0.5", " ", "*", " ", "m"}], " ", "+", " ", 
  RowBox[{"0.5", " ", "*", " ", 
   RowBox[{"{", 
    RowBox[{"1", ",", " ", "1"}], "}"}]}]}]], "Input",
 CellChangeTimes->{{3.688716393419139*^9, 3.688716423840918*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.75`", ",", "0.`"}], "}"}]], "Output",
 CellChangeTimes->{3.688716424265564*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"f", "[", 
  RowBox[{"0.75", ",", " ", "0"}], "]"}]], "Input",
 CellChangeTimes->{{3.688716432704214*^9, 3.688716435800853*^9}}],

Cell[BoxData["0.5625`"], "Output",
 CellChangeTimes->{3.6887164360450163`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{"{", 
  RowBox[{"0.75", ",", "0"}], "}"}], "\[IndentingNewLine]", 
 RowBox[{"{", 
  RowBox[{"0", ",", " ", 
   RowBox[{"-", "1"}]}], "}"}], "\[IndentingNewLine]", 
 RowBox[{"{", 
  RowBox[{"1", ",", 
   RowBox[{"-", "1"}]}], "}"}]}], "Input",
 CellChangeTimes->{{3.688716708364053*^9, 3.68871672824643*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.75`", ",", "0"}], "}"}]], "Output",
 CellChangeTimes->{{3.688716725523817*^9, 3.688716728557782*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0", ",", 
   RowBox[{"-", "1"}]}], "}"}]], "Output",
 CellChangeTimes->{{3.688716725523817*^9, 3.688716728559202*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"1", ",", 
   RowBox[{"-", "1"}]}], "}"}]], "Output",
 CellChangeTimes->{{3.688716725523817*^9, 3.688716728560491*^9}}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{"f", "[", 
  RowBox[{"0.75", ",", " ", "0"}], "]"}], "\[IndentingNewLine]", 
 RowBox[{"f", "[", 
  RowBox[{"0", ",", " ", 
   RowBox[{"-", "1"}]}], "]"}], "\[IndentingNewLine]", 
 RowBox[{"f", "[", 
  RowBox[{"1", ",", " ", 
   RowBox[{"-", "1"}]}], "]"}]}], "Input",
 CellChangeTimes->{{3.688716729485199*^9, 3.688716742750134*^9}}],

Cell[BoxData["0.5625`"], "Output",
 CellChangeTimes->{{3.688716732755805*^9, 3.688716743020203*^9}}],

Cell[BoxData["1"], "Output",
 CellChangeTimes->{{3.688716732755805*^9, 3.688716743021405*^9}}],

Cell[BoxData["2"], "Output",
 CellChangeTimes->{{3.688716732755805*^9, 3.688716743022584*^9}}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"m", " ", "=", " ", 
  RowBox[{
   RowBox[{"1", "/", "2"}], 
   RowBox[{"(", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"0.75", ",", " ", "0"}], "}"}], " ", "+", " ", 
     RowBox[{"{", 
      RowBox[{"0", ",", " ", 
       RowBox[{"-", "1"}]}], "}"}]}], ")"}]}]}]], "Input",
 CellChangeTimes->{{3.688716755480378*^9, 3.6887167702459803`*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.375`", ",", 
   RowBox[{"-", 
    FractionBox["1", "2"]}]}], "}"}]], "Output",
 CellChangeTimes->{3.6887167708230247`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"1", "/", "2"}], " ", "m"}], " ", "-", " ", 
  RowBox[{
   RowBox[{"1", "/", "2"}], " ", 
   RowBox[{"{", 
    RowBox[{"1", ",", " ", 
     RowBox[{"-", "1"}]}], "}"}]}]}]], "Input",
 CellChangeTimes->{{3.6887168868658543`*^9, 3.688716916284412*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"-", "0.3125`"}], ",", 
   FractionBox["1", "4"]}], "}"}]], "Output",
 CellChangeTimes->{{3.688716902114196*^9, 3.688716916707081*^9}}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"f", "[", 
  RowBox[{"0.375", ",", " ", 
   RowBox[{
    RowBox[{"-", "1"}], "/", "2"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.6887167738093224`*^9, 3.688716778277738*^9}}],

Cell[BoxData["0.390625`"], "Output",
 CellChangeTimes->{3.6887167784775743`*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"m", " ", "=", 
  RowBox[{
   RowBox[{"1", "/", "2"}], 
   RowBox[{"(", " ", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{
       RowBox[{"-", "0.3125`"}], ",", 
       FractionBox["1", "4"]}], "}"}], " ", "+", " ", 
     RowBox[{"{", 
      RowBox[{"0.75", ",", " ", "0"}], "}"}]}], ")"}]}]}]], "Input",
 CellChangeTimes->{
  3.688716858706685*^9, {3.6887170094754953`*^9, 3.6887170236435957`*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.21875`", ",", 
   FractionBox["1", "8"]}], "}"}]], "Output",
 CellChangeTimes->{3.688717024703979*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"1", "/", "2"}], " ", "m"}], " ", "-", " ", 
  RowBox[{
   RowBox[{"1", "/", "2"}], " ", 
   RowBox[{"{", 
    RowBox[{"0", ",", " ", 
     RowBox[{"-", "1"}]}], "}"}]}]}]], "Input",
 CellChangeTimes->{{3.688717036348234*^9, 3.688717043267276*^9}}],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0.109375`", ",", 
   FractionBox["9", "16"]}], "}"}]], "Output",
 CellChangeTimes->{3.688717043964724*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"f", "[", 
  RowBox[{"0.109375", ",", " ", 
   RowBox[{"9", "/", "16"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.6887170534983387`*^9, 3.68871705821124*^9}}],

Cell[BoxData["0.328369140625`"], "Output",
 CellChangeTimes->{3.688717058483123*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{"f", "[", 
  RowBox[{
   RowBox[{"-", "0.3125"}], ",", "0.25"}], "]"}], "\[IndentingNewLine]", 
 RowBox[{"f", "[", 
  RowBox[{"0.75", ",", "0"}], "]"}], "\[IndentingNewLine]", 
 RowBox[{"f", "[", 
  RowBox[{"0", ",", " ", "1"}], "]"}]}], "Input",
 CellChangeTimes->{{3.688717108253766*^9, 3.688717140810465*^9}}],

Cell[BoxData["0.16015625`"], "Output",
 CellChangeTimes->{{3.688717111404895*^9, 3.6887171410569887`*^9}}],

Cell[BoxData["0.5625`"], "Output",
 CellChangeTimes->{{3.688717111404895*^9, 3.6887171410583553`*^9}}],

Cell[BoxData["1"], "Output",
 CellChangeTimes->{{3.688717111404895*^9, 3.6887171410597143`*^9}}]
}, Open  ]]
},
WindowSize->{958, 1179},
WindowMargins->{{0, Automatic}, {Automatic, 19}},
FrontEndVersion->"10.3 for Linux x86 (64-bit) (October 9, 2015)",
StyleDefinitions->"Default.nb"
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[558, 20, 312, 8, 32, "Input"],
Cell[CellGroupData[{
Cell[895, 32, 538, 14, 99, "Input"],
Cell[1436, 48, 125842, 2111, 369, 88288, 1494, "CachedBoxData", "BoxData", \
"Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[127315, 2164, 360, 10, 77, "Input"],
Cell[127678, 2176, 70, 1, 32, "Output"],
Cell[127751, 2179, 70, 1, 32, "Output"],
Cell[127824, 2182, 69, 1, 32, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[127930, 2188, 249, 6, 32, "Input"],
Cell[128182, 2196, 158, 4, 32, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[128377, 2205, 249, 6, 32, "Input"],
Cell[128629, 2213, 121, 3, 32, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[128787, 2221, 151, 3, 32, "Input"],
Cell[128941, 2226, 78, 1, 32, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[129056, 2232, 331, 9, 77, "Input"],
Cell[129390, 2243, 143, 3, 32, "Output"],
Cell[129536, 2248, 158, 4, 32, "Output"],
Cell[129697, 2254, 158, 4, 32, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[129892, 2263, 357, 9, 77, "Input"],
Cell[130252, 2274, 100, 1, 32, "Output"],
Cell[130355, 2277, 94, 1, 32, "Output"],
Cell[130452, 2280, 94, 1, 32, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[130583, 2286, 370, 11, 32, "Input"],
Cell[130956, 2299, 164, 5, 49, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[131157, 2309, 296, 9, 32, "Input"],
Cell[131456, 2320, 186, 5, 49, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[131679, 2330, 198, 5, 32, "Input"],
Cell[131880, 2337, 80, 1, 32, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[131997, 2343, 424, 13, 58, "Input"],
Cell[132424, 2358, 144, 4, 49, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[132605, 2367, 294, 9, 32, "Input"],
Cell[132902, 2378, 146, 4, 49, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[133085, 2387, 181, 4, 32, "Input"],
Cell[133269, 2393, 84, 1, 32, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[133390, 2399, 336, 8, 77, "Input"],
Cell[133729, 2409, 106, 1, 32, "Output"],
Cell[133838, 2412, 102, 1, 32, "Output"],
Cell[133943, 2415, 96, 1, 32, "Output"]
}, Open  ]]
}
]
*)

(* End of internal cache information *)