(* Content-type: application/vnd.wolfram.mathematica *)

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

(* CreatedBy='Mathematica 11.1' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       158,          7]
NotebookDataLength[    348835,       6239]
NotebookOptionsPosition[    342524,       6088]
NotebookOutlinePosition[    342897,       6104]
CellTagsIndexPosition[    342854,       6101]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{

Cell[CellGroupData[{
Cell[BoxData[{
 RowBox[{
  RowBox[{"a", "=", "1"}], ";"}], "\[IndentingNewLine]", 
 RowBox[{"While", "[", 
  RowBox[{
   RowBox[{"a", "<", "10"}], ",", "\[IndentingNewLine]", 
   RowBox[{
    RowBox[{"Print", "[", 
     RowBox[{"\"\<a= \>\"", ",", "a"}], "]"}], ";", "\[IndentingNewLine]", 
    RowBox[{"a", "=", 
     RowBox[{"a", "+", "1"}]}], ";"}]}], "\[IndentingNewLine]", 
  "]"}]}], "Input",
 CellChangeTimes->{{3.7106190899042263`*^9, 3.7106191364536467`*^9}, {
  3.710619181229291*^9, 
  3.7106191904040966`*^9}},ExpressionUUID->"d3627d42-d090-49a4-aca4-\
4e0876ab6992"],

Cell[CellGroupData[{

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"a= \"\>", "\[InvisibleSpace]", "1"}],
  SequenceForm["a= ", 1],
  Editable->False]], "Print",
 CellChangeTimes->{3.7106191447895665`*^9, 3.710619194424958*^9, 
  3.7110977796476517`*^9},ExpressionUUID->"b78c3d78-d64e-4d4c-8165-\
c8189ce0697b"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"a= \"\>", "\[InvisibleSpace]", "2"}],
  SequenceForm["a= ", 2],
  Editable->False]], "Print",
 CellChangeTimes->{3.7106191447895665`*^9, 3.710619194424958*^9, 
  3.711097779649654*^9},ExpressionUUID->"4179e405-9320-4869-9d5d-\
ca856a4fa6cb"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"a= \"\>", "\[InvisibleSpace]", "3"}],
  SequenceForm["a= ", 3],
  Editable->False]], "Print",
 CellChangeTimes->{3.7106191447895665`*^9, 3.710619194424958*^9, 
  3.711097779656658*^9},ExpressionUUID->"4b9b1941-42e6-4521-acf8-\
3d27f70aaa15"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"a= \"\>", "\[InvisibleSpace]", "4"}],
  SequenceForm["a= ", 4],
  Editable->False]], "Print",
 CellChangeTimes->{3.7106191447895665`*^9, 3.710619194424958*^9, 
  3.7110977796606627`*^9},ExpressionUUID->"725ce9b6-2b6d-4a5d-a491-\
4c85e836e7f9"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"a= \"\>", "\[InvisibleSpace]", "5"}],
  SequenceForm["a= ", 5],
  Editable->False]], "Print",
 CellChangeTimes->{3.7106191447895665`*^9, 3.710619194424958*^9, 
  3.7110977796626635`*^9},ExpressionUUID->"2f3f11df-22a7-4fc0-9818-\
5bc34d25ab0b"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"a= \"\>", "\[InvisibleSpace]", "6"}],
  SequenceForm["a= ", 6],
  Editable->False]], "Print",
 CellChangeTimes->{3.7106191447895665`*^9, 3.710619194424958*^9, 
  3.7110977796656675`*^9},ExpressionUUID->"c4bb563f-ef56-45a7-88a3-\
21a5b3b41775"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"a= \"\>", "\[InvisibleSpace]", "7"}],
  SequenceForm["a= ", 7],
  Editable->False]], "Print",
 CellChangeTimes->{3.7106191447895665`*^9, 3.710619194424958*^9, 
  3.711097779669669*^9},ExpressionUUID->"5d509fd6-6a4f-483a-a4f2-\
e4b4c802e273"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"a= \"\>", "\[InvisibleSpace]", "8"}],
  SequenceForm["a= ", 8],
  Editable->False]], "Print",
 CellChangeTimes->{3.7106191447895665`*^9, 3.710619194424958*^9, 
  3.7110977796726694`*^9},ExpressionUUID->"4b1ce6ba-4754-4f93-a355-\
790d61724d68"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"a= \"\>", "\[InvisibleSpace]", "9"}],
  SequenceForm["a= ", 9],
  Editable->False]], "Print",
 CellChangeTimes->{3.7106191447895665`*^9, 3.710619194424958*^9, 
  3.711097779674671*^9},ExpressionUUID->"a5587905-2272-4866-946f-\
aa6eea1eb7ea"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"For", "[", 
  RowBox[{
   RowBox[{"i", "=", "0"}], ",", 
   RowBox[{"i", "<", "9"}], ",", 
   RowBox[{"i", "+=", "1"}], ",", "\[IndentingNewLine]", 
   RowBox[{
    RowBox[{"Print", "[", 
     RowBox[{"\"\<i = \>\"", ",", "i"}], "]"}], ";"}]}], 
  "\[IndentingNewLine]", "]"}]], "Input",
 CellChangeTimes->{{3.710619320517536*^9, 
  3.7106193902826056`*^9}},ExpressionUUID->"20b61977-17f2-4fdd-ae7b-\
0e0b5fc6e766"],

Cell[CellGroupData[{

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"i = \"\>", "\[InvisibleSpace]", "0"}],
  SequenceForm["i = ", 0],
  Editable->False]], "Print",
 CellChangeTimes->{
  3.7106193956444044`*^9},ExpressionUUID->"3f2dfbfa-d0ea-477a-a72d-\
57ee1f0f8b68"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"i = \"\>", "\[InvisibleSpace]", "1"}],
  SequenceForm["i = ", 1],
  Editable->False]], "Print",
 CellChangeTimes->{
  3.710619395645406*^9},ExpressionUUID->"ef35dce4-f5c9-4589-baad-\
4ddefcf1f91f"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"i = \"\>", "\[InvisibleSpace]", "2"}],
  SequenceForm["i = ", 2],
  Editable->False]], "Print",
 CellChangeTimes->{
  3.7106193956474056`*^9},ExpressionUUID->"ba59d238-e733-4c4e-ab69-\
7f19ccd7831b"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"i = \"\>", "\[InvisibleSpace]", "3"}],
  SequenceForm["i = ", 3],
  Editable->False]], "Print",
 CellChangeTimes->{
  3.7106193956494083`*^9},ExpressionUUID->"f2c4e752-0861-4370-861c-\
ad6797a9158d"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"i = \"\>", "\[InvisibleSpace]", "4"}],
  SequenceForm["i = ", 4],
  Editable->False]], "Print",
 CellChangeTimes->{
  3.7106193956504087`*^9},ExpressionUUID->"d3d98bdf-c92a-4120-86b0-\
dafe1f7bfbfc"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"i = \"\>", "\[InvisibleSpace]", "5"}],
  SequenceForm["i = ", 5],
  Editable->False]], "Print",
 CellChangeTimes->{
  3.710619395651408*^9},ExpressionUUID->"b326ee2b-b846-45bf-9acb-\
91782d91ca1b"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"i = \"\>", "\[InvisibleSpace]", "6"}],
  SequenceForm["i = ", 6],
  Editable->False]], "Print",
 CellChangeTimes->{
  3.710619395653411*^9},ExpressionUUID->"8d38ebff-dba0-4c04-8ec1-\
8ee298309488"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"i = \"\>", "\[InvisibleSpace]", "7"}],
  SequenceForm["i = ", 7],
  Editable->False]], "Print",
 CellChangeTimes->{
  3.7106193956544123`*^9},ExpressionUUID->"6c81ee32-cd3c-41a8-9520-\
80b6e9abd68b"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{"\<\"i = \"\>", "\[InvisibleSpace]", "8"}],
  SequenceForm["i = ", 8],
  Editable->False]], "Print",
 CellChangeTimes->{
  3.7106193956554117`*^9},ExpressionUUID->"c49fb9c5-75aa-4c4e-8cf7-\
533d8e1f57d3"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{
   RowBox[{"f", "[", "x_", "]"}], ":=", 
   RowBox[{
    RowBox[{"Cos", " ", "[", "x", "]"}], "+", 
    RowBox[{"Sin", "[", 
     RowBox[{"2", "x"}], "]"}]}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{
   RowBox[{"g", "[", "x_", "]"}], ":=", 
   RowBox[{"x", "+", "1"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{"Plot", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"f", "[", "x", "]"}], ",", 
     RowBox[{"g", "[", "x", "]"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", 
     RowBox[{"-", "9"}], ",", "10"}], "}"}]}], 
  "]"}], "\[IndentingNewLine]"}], "Input",
 CellChangeTimes->{{3.7106199742427254`*^9, 3.7106200643296514`*^9}, {
   3.710620107415045*^9, 3.7106201209816456`*^9}, {3.7106201527318945`*^9, 
   3.710620179543742*^9}, {3.710620324714187*^9, 3.7106203799506845`*^9}, 
   3.710620422284852*^9},ExpressionUUID->"db02bcb5-0608-49c9-b90d-\
d67fdf368589"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[
      1.], LineBox[CompressedData["
1:eJwUWXk8lc8Xtu/LtZNdsiWpVCLmTZTtK4myZUsqSUISQsq+JFsIyRYlyhaS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       "]]},
     Annotation[#, "Charting`Private`Tag$3945#1"]& ], 
    TagBox[
     {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[
      1.], LineBox[CompressedData["
1:eJwt1H9Q03Ucx3Fic4AMGL8GG+B33338KGH04wRD7ur7xoF0oJygddwxY0IS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       "]]},
     Annotation[#, "Charting`Private`Tag$3945#2"]& ]}, {}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{-9, 10}, {-7.999999612244897, 10.999999612244897`}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{
  3.71062042705569*^9},ExpressionUUID->"6ec8b0d2-6ea4-4287-8774-687e75a2fa97"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{
   RowBox[{"h", "[", 
    RowBox[{"x_", ",", "y_"}], "]"}], ":=", 
   RowBox[{
    RowBox[{"3", 
     RowBox[{"x", "^", "2"}]}], "-", 
    RowBox[{"2", 
     RowBox[{"Sin", "[", "y", "]"}]}]}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{
   RowBox[{
    RowBox[{"g", "[", 
     RowBox[{"x_", ",", "y_"}], "]"}], ":=", 
    RowBox[{
     RowBox[{"2", 
      RowBox[{"x", "^", "3"}]}], "-", 
     RowBox[{"2", 
      RowBox[{"Cos", "[", "y", "]"}]}]}]}], ";"}], 
  "\[IndentingNewLine]"}], "\[IndentingNewLine]", 
 RowBox[{"Plot3D", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"h", "[", 
      RowBox[{"x", ",", " ", "y"}], "]"}], ",", 
     RowBox[{"g", "[", 
      RowBox[{"x", ",", "y"}], "]"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", 
     RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"y", ",", 
     RowBox[{"-", "2"}], ",", "2"}], "}"}]}], "]"}]}], "Input",
 CellChangeTimes->{{3.7106205454945946`*^9, 3.7106206494671984`*^9}, {
   3.710622700915129*^9, 3.7106227318677006`*^9}, {3.710622814536668*^9, 
   3.7106228254974346`*^9}, {3.7106229353349485`*^9, 3.7106229369430876`*^9}, 
   3.710622973254507*^9, {3.710623546196699*^9, 3.710623548381248*^9}, {
   3.710623693350172*^9, 3.7106237334296255`*^9}, {3.710623785295226*^9, 
   3.71062381469806*^9}, {3.7106238608675127`*^9, 3.710623864360818*^9}, {
   3.7106239796735373`*^9, 3.7106239997717795`*^9}, {3.7106240716314063`*^9, 
   3.710624080539282*^9}, {3.7106241434336653`*^9, 
   3.710624181132951*^9}},ExpressionUUID->"b89a1380-73e4-4faa-a8fc-\
6e17bc0d8788"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJx0XWVAVU0TRsTCRBETRURURMRu95qv2N2JHRjYgYH62n52YmCLiQGK6F6x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   "], {{
     {RGBColor[0.880722, 0.611041, 0.142051], EdgeForm[None], Specularity[
       GrayLevel[1], 3], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[{Polygon3DBox[CompressedData["
1:eJxFmwX4FdUWxe9cuXP1jM6oqCigghiECAIiSggIImIRCoKgYIAoYmFhd2F3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           "]], Polygon3DBox[CompressedData["
1:eJwtmwe4FbUWhedcnByd6LmiVBEBpSggTaqASlOagAWkWAAFQUS6WEBREXvv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           "]], Polygon3DBox[CompressedData["
1:eJwt13eYVdUZxeFLuTM4WOkIhg5SpDNIL+MwwNAy9C5IbwNIE4aiEkHAGCOg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           "]]},
         Annotation[#, "Charting`Private`Tag$7172#1"]& ]],
       Lighting->{{"Ambient", 
          RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]}, {
         "Directional", 
          RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], 
          ImageScaled[{0, 2, 2}]}, {"Directional", 
          RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], 
          ImageScaled[{2, 2, 2}]}, {"Directional", 
          RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], 
          ImageScaled[{2, 0, 2}]}}]}, 
     {RGBColor[0.368417, 0.506779, 0.709798], EdgeForm[None], Specularity[
       GrayLevel[1], 3], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[{Polygon3DBox[CompressedData["
1:eJwtnHXcFVUXhV/eOy8zgzN3Lipiotjd3YWtKAYqit2KhfkpBhiEoiIKCBKK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           "]], Polygon3DBox[CompressedData["
1:eJwtnAnYFtMbxt/ed2pmvubMl5Ds+74v2bNvkZ1kX7Pvsu87ZYm0kBRKkUoo
7YWQFiEtFPKvZC9SQvK/f+5zXc31nXueM/POcs5znue+n2nj86464cpqpVI5
K6lU9K/yXFapXF+rVLpo51FppXJrUalsLnyG9g+qr1TuKyuV0bJdJ9sTwjfL
vpnsp8s+UHic8Auynyp74yaVyo3q31O4jfDDsu+aVyqXqH97/VhPte+RfaTs
18j+uOzvhUrlH9kf1Lae2jvpfNNl30zn7yL7M8J7ybaGjq3o/LcJbyF8puyD
Zf9Rf18RvkTn764+D+j8E3T8LTp/V9kfFp4ifLdwD+EZ6v+U+p+j/o+r//2y
j5G9vexPyv6U7FfL3kn7Dta+22UfqHY7tR+R/QbhZ4VPFn5IuKPwZ8IPCD8n
3ELX97nw1jpPd+ET9Rtddb4n9XtD1B6uezxS7XvVPkj3s3Hh611b/R9V/wH6
e7v699G+M3XOUbL3UPsktXP1v06/96hwS+EH1X+S7MOErxCul72z7N8LdxV+
Sfa3ZO8m3Fo4lf0p2X8Q7ibcT/ZTdB3P6/d66JpGq72LtouF7xfur/Zj6j9H
/R9R/+fVv5vwINm/5bkLPyI8Q/YHZe8l3KH0+7tfuKfwE+p3hfo/pH1Ha99w
XU93tY9RO9P1fCN7L9nP1+89qd87WvbfZd9X+/vo+N76e2PN98Axj+r8X6jd
Ue3est8tPDTe/2PCTwp/J9xFuK9wa51vqfA+Os+L3K9+s0Pqc3zGu9X+O3X+
l4TP1v6h6v+U2oer3VB93xceLHyhcCl8lPBvwnvruBe4P51jgfCTqa/37cLn
Oku4UP9DhH8U3j3z8xsj3Fu4rex1jGcd/6rwBcIdZb9VeIDw+cIdhN/XeKnq
2Tyma9xK7YMLv78Wme+/k/rPF34i9f39o2fYXX1rDfW+6yqV/dV/oey7ZH4/
D6r/e8K3qn834ee1/yb17xWvaZj6d42+oJGu7x3hfvHZBOH9Ct/vzpnHe8vC
v79T5vf9uM7/P+FOqZ/Pg9p/j/AC/cYOuraHZJ8sfJfsz8i+e+F3sY36PS18
r+yjhK+VvZPwq9p/h47dO/EzXSW8vvAmwufofL10/NHCN2v/aPV/Vnh72a6Q
bZTwRTpmCPNffV5Tn/uED5C9Y80+5mHhJcKP1DxnLxZ+Xf3vEX6da9czX6r2
fjrfRzrfTfq7j/rfpX2DGFP6vRPUvl3tscwH/JPs7dTvTeHHhLcSvkh4mPDq
weOtPvN87Sr7IcLXCY+QvYfwdup/ufqPFO4jfKLsd8g+jucp3EL4YuE3eF46
3+/C+6v/NOGx+ttUxz+nbZzaA2V/VPYJ6t9Ev/eh/naW7Rnt+0Ttu9TnMOHB
wouE91T/F9Vuqfbq6r+H8AvCs4WbCu+q3/9Az2cr4S/1e210/BqJffD/tK+1
8ONqd2Cf2i9oe1l4ivDX+Bedr5vwR+r7Ff5W+14SHib7R2q/Lnsf4Tmyr6Hf
W6p9VY3lBtoaajx/oP0d1beBtqN4puo/QP0P1v411f9RXd+Wsl0o21Cdv4vw
wbJfK/tw4c7CBwlfI/yWcE34Lt3PMr33CcIDhc+Q/T7Z3xYeJHwm/lD4HeEF
6neCzj9N+27Uvgay36njf9f+d/G3+ruubGO0/SX7fOFW3K+2G4Tvx8fha4VX
MB6FWwuPEl7OM2EeqX2r9j0v22fCz6rdV/u+zLxusH4ME/6V8SncSnio8GLh
Rrqeh3U9f+t339f1/CH7MtnHyr5S9lT2DrKvlP0D2Rfq71GyfaztJtm/F95R
/T8Rvk24jP66odqT1f92Pe9fZNtT5/1QuLHsj8v+r46bKPyy8K46/jrZxwt3
1d8h6j+Sc6pdL/vT6t9I55siexPhZ4RT4anC8xkDjE31X6D2CP3eG8KtZW+m
9ztLv7Ov8ERtV2jfTOHj1PcD4cuFnxE+VLi38F7CM4T3Vvt9bZcxR3W+SWqX
Ovc6Ot9y/V2q/m9q3888/9Tz8UNiFuFPtT3Bs1GfXup7Z+74oZvwW2p30vac
8CThL9XeVts3zAVt26m9ubYv1J6rbUu1P8bPMV7V/w7hTbR9ij/R9qLa72We
rwcK3y68WNczj3ev7R5inmD/hR/bV9e/RH9Pk+1rbffKntR5rjRSn+N0/Axt
6/H+tc1Ue5C2hmrP1faL2ouYPzw/rl3nO1p/v6x6jg1g7uaey4m2Y7jX0mPp
bLV3Vv/RmWO3/WW/Tfv+p/PVq/20rmt72R+Q/WzZ52vbXvZrS8cXxBkby74+
Y1x4praN1J4fPN7HqL2D7L10/A2Mt8QxzEuy76X2jbLvLfsVwrOY38J7CvcP
9s//+WnhkTr+Afy39t2KTw72d/i9A2QfInwQsaDO3VJ4p+D3y3veT7hb7tgS
H/eC+rwRPL4YZ/vL3l73056xxrsUvr50PL238KbCP2Uev0fomD7EFzr+cLXv
5lkRLxB/CTfj/cs+W/bV1T5Z+3fk+NT+fzrXpHNtEuO9ddWeXe/n/xHzWfbD
dcwRrLE8T53jO7U31PkeFh6vfnPU/7Xg8TdNeDWdf3zw819PfdfHf+pvD9Y+
HT9F7bXi+t9E/T/R8bsIvy+8pfDcej83nl8XHbMjY0HnW8H4ZuzJ/pDwn8KH
CM8UXlvHv6zjm6rvdOHmwv2FV2OuCV+u/jPUfwP130DXs6nsb8m+nuyfy36C
7BNkv0D2Foyf4PvlvrcR/kF/Vwl/rmv6Ue1jZH9H+Dy1d2U86f2Mqzl22EX4
K9kz4ivdx3bCZwpPlv1S2XcXvrl0PH4gc1n4JuHbhA8Q3kz4bPWfgm8R3kP4
OOF3iWeFd2P86/p3E75I1/8616/9P1W9Br+u9h06372yH6r2luq/bvB84l1u
LXxL6fjnIOEthO8Uvk/4MOGthD9OHQ+8re0S4hntb0c8ofP3UPsQ2c/n/onB
Za9yX2pvmviZ4G+nxfWbXOov/f7Hwq/is9ROuC9ipcT31Ih5Jrx54nfwt/oE
4SN17LHkf7rfpsKnCf+u+z1J9veEc/X9p97jl/hznczx+lDmh/Bf8Rk8IftO
al+t/f/KvkHh/GzNzPnXW/r7JutbfAZ36Xncr/bwmD91Uv8dha8SXiX8P+K2
xGvQN2ov1/VMJbdh/Qz22fjuxTrnHpnHDGPnE+FNMo+n2YnnUCveHf48cUxO
fIMPxZfOU//t1f9n4TnCteg/v9c2K3GOy3xsp+v7g/xCfRfq+i4W/lO4lfAi
4cXq85X6N47jYy7rbOI5yfpzg/qvpvap6r9U/bcQnqTjN8icT/+Q+d64R+53
pe7xa7UDWO3L1L8i+9Gs9er/lfpMThyDEW/0UZ89hG9Qey+9z60Kx+sbZo7H
txGeKrxx5nz5dPUbjn/RMZ/nzs/XEj5L9mWy7yOcyna8bM/GfIP85zf12ZfY
sXB+nWfmC34n5mD+65gzZG9aOD/KMufb1wg3k/144Vc5n653I3ID9V1Bvqjx
MF72f2V/Tbht7rGMj32H8aLjN2R+MtZlv0p4TeHjhAeQTwpvhH8R/pvz6fwb
6tgzdewfwvfIvrHs7WRfSbyTOVdfFn0C+Xtf4eXRZ+yo/v8yP4gb1H+Hwv6J
sdRZeOfC/MHmmfmK9QvzLWtkzgf3KJx/b5s5X8L/km9vkTl/W7dwvrR65nwR
/uIJ4Z/0Gy145pm5ncVxjSKfIj/9I/qUPXX8XOHtMvMjWxfmSzbKzPfkhfmc
fyLfwHpMLv6rjt8nN39EvrgkrnmPZ871fxDeLXecQLzQUDFJrtjkIp1vhexH
qN+3Ol+97IfKvrWe8SXx+MuI5bR1yryus77fwxhV+6rgeIq4qqrxubfO9zHx
t/Bxwone/0+Jn3FN7YbB/MNfkW/YMHestbO2a9R+mj6y90/9/vsFxxu1zPl7
CM6PG2fO/5m/jfA9mfmPIpifSDLnx110vl91PT10vv7Ev6X5gmeFX4bPKn38
y6nH72+6hu90LR3iGKnIvgguhHhJ524AX8PY1TmaC/cNfj5/Rj7nb8al7AX3
yPqv/YtqjrEeJT9R/3PVXq79NfW/j/hc+ELZhpD/BPNzK2K+vwqfnphD2VV9
ZpXmYz7W/pNkr+kdVvQuB+qYBnWO305Seycdc7XavXX+/YVv5bfht3T8iJrn
clvh1fX3cOFtE6+Z/N7KxJwF3MU3Or6mdj/iHvWfUZq/6UnexfoeHL9OUt+j
hE/U/h/V/0ptT+o3T4MHgd8QfoncSf3XVf9T1X+x7vdanT+T7UTZfql3TExs
3Fj7PssdL48htmcNw9dre1t4/ejfrtDxVdmOZa2I/igVPgHfL9wzON7m2CXC
7WWvl/0U2X8VnkoMmjhngH/8ifyGWFzXPEnty9W/gWzHsPaQn2nfy4nH+DbB
cTrx+jTh99S+Xv2bqH9b9f9N/adp31uJc274tCU6ZrjwMnxAMB6R+P39Eszb
wt/eItxH51hbzztr6JyosdprMV6F6/Su2+h5NxdOG9rnH4LvFa5v6Hd8qHCz
0twT7zOlbzCfWsnMd7GusL5co31dtO9Q/X5n+B7hbsSAso9KnAPC55Izkjuu
hNPLHfcT/98s+wvEsMKHqb1N4pgN3g7+7jrte1r2dXQNdbqe9YSfYy6w/qvd
LDefvJme33D1X199v6g3X0KuQEy9pdodZd+Ge4nxC2sMaw35favgd8y7Zrwc
HDzGGGvk5wcJf0dOm3l+XspaD0eX+Zx3CC8nRxfeUvj2wmsMaw38wBE6ft/I
b6zJeij7yGC+AN7gYPID9f8lc8x1ZeFrJNaCM+fa4eS7Z36+cPXk7OTuPJ+M
XJgxm3nOBHyp8CuZObBmwomO7yh8gfq/WZgTfUT4wpq50m1y57xwJHAlcNSd
M89HuGueMc/6iJq5fHw2vvsUfG7hHKd3br6D3AeODa6N8VgGcyr7w+1WzbUk
2u6u2qfh2/oJ75I4ZyB34JycmzXjSuFbgtci1gDWgpu1fV+zD03UfqnwWkAO
dFkwR/RR6pgd7giOaGpqnwl3dKXubVLqGJNYE85uWozB4fJu4p3X7FPxrXAw
x6XmUOBm4FxOSM2BwMXAKS0SPiY+v8Hadk/MIbSH+xU+p+YcuhLMSX2bmvOE
q4Jj2Sw3xwT38l69/T7+v6r+RWEtgznIXISjOQWtomruZlVqrYY1nrUeDuzA
1JxOLZ7vscxzqmFhThVuFT7rAp1vjPA6uTm1F+Aym5iTgaOZoLl3WBP7PPSW
KcE+vSJfsiqxrz8+cjD4/DGlcy7mMfO5e+EcjzyDfKND4RyLdYP14+nCHAQx
xsbk58E5F3kK+crDhWOCZcI/J44VTm5iXhwftWbpnAWeCb6JXOZo5kvqfGCK
7I/kzoPJhw8jN5F9Re71AH/SGk0l9Xo5vPSaNFn2wYnXqiOEXxV+BH5I+Jgm
zkmIz5cJH5iZF4Uf/V24lexvECsKfx2co5Krwne/GJzDkreRvz1UmPMgRmIO
MBf2ij6WGPBVtCm9n8HwXsTwhXNwcnH47WZwJ8LDZH+bmK9wzk7uDl++ZjBn
AHfA+rN9Yc4C7gLNpkXw+IPrIya7OpiDhotm/a0P5njhetEg0CJGZOZkyCHI
JeDIM95nzdw5nArcCjHU6NIcF1wXmtKbpTUzONA6/IvwgU3MgebCY0tzQqwR
5BivlfaR+Mrm+D/h4WqPyM3BnKbfO7SJOV040EmlOSO4IzSf10tzQHBBh6j/
4YU5I7ijv2QfWZozggNB8xjG+8+cc6wNRxTMQdcJb1czN82YZmzDQZ4RnNOc
HOcfuQ4+Fd96f5xvxNwto//L43zdP85P5i85U5s4n8mlmmXWqgbH903OjHY5
qOpcmpwCrYmci1zj4yJqHfH9jy+8NjwV1wNytkmsy1XncuQgaDfkCOQm5Cxo
reT05DJotugq/+krwTnP28LvVp0LkbOgPcEhkcswJ5mbaAbEN3sV5vbhQFl/
0VDRZdBnthBexTtQ+4vU/AA5C9ou44lcBk4BLRCODK6BnBUtiZyKXJYcCW2N
nJLc6cPCY/XFuN6h4aHlMV7RItHU0NbQvNASvyucX/9T9XqOBob2S06GNnYM
8VhizQTthDHD2IFD3jZYE0MbQzNDSzyANTOxJrIr3GJhbQaObje4s8Kxxrox
XjhPz2JU6hyWXBYN6O3UmjjaEDkFuQUxKbHpf5qf8Mw4/9Do0GbJOdHuyHnI
fchJyIXR9N9InROj9VMD8GbqnJvaADis8alrBOC2yCHGpa4JILdAkx+amgOA
C6jLvN6gL65ZmKNA+ydnhbsgx6S2AI6H3BNOAS1+bPQPDwdzQ3BezaO/ejMz
Z7ZWMAd6axx/vG84wtvi+II77BDMFcERrU0uoDlaNLRG3yL6wzd0vvFVc5Vo
Wg/F54XWNTc+vxlxvBIj3p5aAyN2JH7qkZkDzoPjq2cyx9RoJWiCc1NrUGiF
xEDEQnCG5wSvYaxlcI5nBWt8X0YNAu2P9RUdBj3m4mCNc7bs+9Wsfd4CL5o6
5+od1+e15G/2qVkLRUNcM7cGgrZITEhsCId6YrC/H6JzjKuau8V/tI/vY4P4
/tpFf4F/uT+Y24CTbKr2fcHcBxzpasHxY//MHGmTYM74yjgf4ZJZw1nL4UiP
D16jWavhaI8V3rYwlw1nv04wRzIuc/4Ld8IaxFoE57uB7A8EcxloqmiraKyN
db/b16y9wilflZpDhmuGc746dcwPF42mdU5qjhutC03q3NScNFoVmtR5qTlr
tKo7grkUOP46te8M5j7gDBqrfVcwNwInUMT1sF9mDfreGN/2hZuqWltmTjA3
4BjgGliv0ZXRl9cQXhsOIrcedbrwWsRPufneo4WbCxe59bDThJ/NXWszUdsc
4h7WoMQxDbHNdHKLxDku+e7s3PwtOS657ueZfRc5Izn/PfjKxBwofOiPOt9r
iWMeYp9+uWtFZmj7Vu1FuXNTOM/v4/nhBsfBKTMOcmtncJJLcutVX1e9BqDv
ou/Dz+fklHA2deaOGpNzpt6HrYm2kzPzHysS56R/ql1fmg9pHPPV1UvzFdU6
8xecj1yQeBE+6sDCfAcxIbEh+thjiTmYY9Xum5t7mq5tIXGfzhcauoaEWpI/
gvllYjpiu01kX62hc07yYfQFan++ZI0L1seotZnHM1T7H22Lqn6mqyKer/YC
bf+qvXEwNwSnBbfF7/+ldqnzb1g6voX7+oXnR+2F7ud3+GZtTYQ3KN2Xe+Re
4VDgUuB0Visdj8O1wGnMLB2TE5v/q61p6WfSqM7+kuN5pnABrEc866K0vgxH
AB/AM1mZ+xq5Vp4544jxtHq8Hs4V4vUvTa0R3hnzO/gi3i3PkGcJZwR3BB88
W7h7ab2CmP3YWMvDufDp1JBwT/9df+57ZZzybOGY4LMW6Bp7qX2Q2kc2sf72
b9XxGvww+klbtfvio+J4RkuDg5mQRz1e975Q+Nfc+uhXVWsCaAPfM7dl78kY
zzx+2tQcn8Nf7qRtYc2/0SFzPQO1PWgGaAcfahuUeM4x94i90R7AE3PXAFAL
QH4wPfN8gjsixkCPfi63Vt1V29DcNR7EE+QfE9FIUmvDjHH0CnQv9K9O2nbI
fI/c6yuJ+SV03P/0XG17Zq4f6VSzRoFWcURhPosc77CYO+FvzkuspxyGZqv2
qdxvvD+0FfIj8iTmNHN7ufBJaBLB94+NXOoX1nbhq7TdDR+Z25cw5+E7u8Tc
i/G2W+axyVhkTFL7UFeayyLHJNfkGfIsmS/Mm3t1/A2JOdhN4fCEJ6h9pba7
4OwKczv4FMY7uiz67MWJ+Sj87YNVcwrUN8JnE9sfT36WW2/7b20TflDtebq/
dmp3Jgdh/AXXk5CDkIuMC65nIIc+JPrXB6rmFPrH9/tz1ZoQ2hB8NtzH3cJ9
cusncHF3CA9MrV+vqppTg1vDPyQ1c3z/cX3aZlddA5WrvV0w90zNzRox/0X3
R///MDhnInc6OzFfyTt/LLf+xViYqH1nEL9reyQ4ZyZ3Zt8HvNvgWoE2ievZ
XtXWUu2TE9d/nlq4FugCbZ/gW4PPzRidFvNjNFT0sU/gygtzt9TEvCP7BcJr
JeY4F8f8/IvMNU2sXY10zOLEYwx+nXyQdYj1CK1sDjFVYk1saczX5+X+DXz9
p8HX1kXbE6zX2i5MzLmeXniNfSJ3PePP8frPTTxHeD7k+OT6t2v7IvID1Fyg
F04rzQdQZ0C9wefxeuA+qemaFaz5onsS0xLbvp+5DoqcidyJGg44Yubvt8Ea
MloyMRWxFRo5Wjl65HaFNWV0IGIoYqn10KBz1xtcSrwsvHbu+qALhTcU3kJ4
DvlFsGaOD/kGjYD8O9g/UcNBLQf8HnOGe/iotMaNzktMT2xPfEqtG5zsefF5
wr3gc2YEzxH8GP6MuUNNBToTMRexFzUX6FrEZMRm1JRQW8J8gYtDs0eHI2Yl
dt1IeOvc9TLXBWv46HbEsMSy1Kzg85boGj4tXWNJrSkaHLWXrBnUaVCvwVqy
AzFqzZrEd8H5Mlon+3YMrmks6qyhUutIPvtuZs2W/IP4Fi0QH79R8Hg+MXFM
wXiD/5iSub6C2h/4hlmZ65uoXYEvWZCZI6Y2Bf7ixcz8eP+Yf6MrEUNsEpyf
v5O55phaazgvuC80/z+DNXS0dGpqqU3GZy7MrBfURf+A72QOMZfQwKgFRtNG
G2uj9rLMmgfaB/wHtXjUX50SrMmizW7A+4v8D7WS1AicHON3aiWp5zo1mG+Z
m7kmkNqduYXr4/BB1NLgI5vnrsfDd8IHfZe5nvGt4DHL2N1B/XsWfue8+xbC
A4SvDa6t2o01T/j8YG6TGkzyJWJqYmtqOMkn2gX/FjWm5FfU5+LL0GSopXo3
mPtHA5oQ7NO3yv0b+HrmDHOHGjn42jnBvqA3a6zabYPvnRpG+CL0pHWET4rn
g9/qmlk/oRYKfmtJ5vo/tAH4sXnC/WquNYcPfDhz/Qfa/orC2gKaOdr5H4Vr
D9G40bqXFD4Xmhna2c+Fa+PW4XkE85+s06zXpd5/m+B3S80r/B01ztSKoylT
+8z4Jy4jPluP2K1wro3PHxCsB5ILkxPPS809Uj9EfkS9Lpwu3ODZmble9B5y
ZTTEr1NrMdwLz4h6S9433DN1gvgufBi5NHV9+DZyKLh66mbIrd4tXQ/D2kw9
4Ael9WjWbuqhJpbWl/gt6pHIueBa3kmdi8HJwu2dk5mrRbvhWa5dc33nVbm1
UTRS6reYC7xb8nPqEZ/OPRba1hxvXJl7rMJHUl96bm6ul2ukvoe5wrMmn780
MwdNPsM74d3ACaMlNcjNFZNfbyVcy82No03xbuFPqR8lH98a/5Wba2duUj9B
jfXI1PU/5OrU/HySej6QW3+YOvd8JvfcObXm+GzH3LXe1HxTb9RR+Ft8a9Xx
3/W55x41i9Qz4qOpT/gjte+m/ojYhZwUf0RMQ2wzu+b6SH6PWJA51D53jRO1
TuhTxNNoSGhJ+IiuwfXHtyXmq/nWgPmHVkJdLmsZ/oBnTR0sawNrAPVIRea1
gTWF+o4Gmdca1hzqO6qZ1yLqoeBS4FQ+Ta2tUR+Lpon+uAfxmvCTVeubu+eu
zYCfR/9smbsWBr4aPRPti3rz56vWY+H0Gesb5+b64dap94ZfQt9mzcZXl5nX
ctY46qNC5rUPrQZfdWTN9cestfg2nsH1mX0tvo05Q/0s/PzN2rcv/hBfVHgu
UlPJekINxIWRT4avoGaAbwV4h+hd1EDwrQA1JvAffINBjM43KSfoXB8V5po4
/8s868LPBk0Y/4S+eHjUhAeVrrGZkromjNobaubhd7ln+B70Rr6NoYZ4cOka
D74ToUYFvY8aCepGqR+ldmJh5EfhO1mvqLkakLomgFosNP0hqWus0Pov1NY8
8Tcv+wXXrLwS+VVqWagRmpxaD6R2CL0VTZ33N6S0BooWepW2RsGc9ReRr6PW
DU28beRH0eeoOeE7B753oBZlbOFzoXnj7/EX5CboLegu1Lh9HvlA9Ej8E9wQ
Pu7ByH/CvTfPHDsSc8GlrZU5Fts2vo9RmWNF1iNiG3IG4lPqU6hfgv8nP3o0
OBeAs4HPRkuivhN+i+8lLs5dy4MPpX4afhPf0TS3dof+QT1hk9xaH/kCsS85
NPnBdnF9GJM5Vh2cu36M+JL8dHrpWPik3PXB1LTwnRYaJ3owfAJ6Cd9IoZfi
7+HOWAPQZ9GzqTlgzA0szZ+iv6KnwqdSs/Jdaj0WPpX1g1iYGlz42JH63TJx
fEg+jB4MH9tS9scL5wfkJuRo5C/EQiNlO4oxlDomoV4fzYpYhRq8wanjJWrz
0Ka6R3+Fzsb3HHAJf1d9z/1La61wynDLxFD443Mzx1bPy75pzZw83PzLpbln
OGW45Z6luXw4erj6dwtznXCgcKHvCb9SNecJ9zmlMFcKhwqXOrkwlwqnC7eL
RoRWBAcOFz6hMFcKhwqXOpV7qppzhXtFIz6+Zk4bbruHrmeNmjUHtIeFhbU8
5iRzc37hucacZe7+VLjWgTnKXEWDQYvh2xNqLZ4trV2gWaBd9BHepWYNHy3/
pdLaPpo92v0LpbULNA20jRdLaxtoKmgr/Uq/W94x3Hvf0rUA1AhQK4BmhHYE
5w33/XdhX4VPwDeMjvwuGsjEGFujReCjL9e+rwrXY1IbzvcrMwvH0s+l/v6G
ele0D9aky7iH0tpU59Tf4/SPesKmuWsrXi+8tjAnmBv/FPY1+Ah8xb/Cx9Y8
xhnrfJ9FLQU1FQelrvHA9zJHmCsjSn+/xrcKfI9DrI8vXB6v8fvCY5exzfcZ
rxXWJtEoqd0YUHpuMceodXhFuHXNNQzUMowoXAtBjQS1EiML+3JqJKiVGFJ4
blOTQG0CmijaKDUO1Ca8UVr7o7af75t+LOy7X0tdPzW0dCzKtxTUu6+Ufeea
15SVUZtGe/s2PtMfCtdTMSeZmwsKrw34fHz/rML1i72Ev673Gslahg9Fr+D7
ErgefBz6LmsOaw81ktSbUH/Ptx18Y4G+h4/H1xNToB98HMwdMP87qz05mGsh
nnky+HupdhHzrdDU0r5maOSTpgbXWvANw2PB36ecFzHfvvI9Db6IGtsDgr+3
4lsUatL3UnuMtmMSx4zoMV8W5kfJecl9x+fmT/lmlG9H+caMb83IN+A7ydHJ
1Qtt09UemJsLgjOEf6QGgnuH84D7eDM3lwKnCp+JXsraMjmz9s73Q3BtaK7U
NvO9F99ScE0tg2skuHY4oVZxvYDLJP8mD8dfw13yDS7f4vJ9w5mJ9Vi+7eH7
B7g6Ynzqf34prF3iH6nn+6vw2k7ND/XCy4Q3ER6bur4dTRYunG+rqO36vXB9
8JjU9dnLYzxOvkA9NDVa1LrwrRG1W58XriV4Hg5FeF5hLv4l4QXCXxeuB+wr
PL/eNWLUMvCtGLVjiyMelrqecWnh+uXRqesBfyusFaMZU3/4SWFtFM0U7RRN
GK1zauZaDeJ1uFpqEHZW+9PCWieaKtrqdDi+qjVQtFBqBqgdQJNFm6XmgNoD
NCy0rNmF69t7q/+8en/vDdfHGs9aj55H7cnYzLUmn8XrQXNFe50hPKtqTRZt
lpoKuPo34vhFHwh11gzQDlgDWAv4nmGfYP3kx8Q1tNXSfM3AxJzvzOD6QGp5
qGGklrFXsNbAmn1Y8DPj2cFXwGfgY/A11AhSKwj/xndPcJqDYjxLrg3Hf0Nw
fRy+Fp/bPsbTcDPE+Oh/1ORRm0fOgF5MPeHSzPlszxj/keuTQ9wWPH/g8uH0
qRUgZyF3wadOLu2/yYXIuW4M5jeI/eGY4R+I3xj7zAH43J2DYzu+KYNfor6A
3I6Ygtjii8LcC5we3B5jnLFOTfeRcf6hRWBvW5g/IPelRhE+gvyY2iVyytbB
+TzaGxrfUcHnJ7bhmyz4HeYMc4cxzLcOaGZoZ3Co8L8/x/oCYhjqG6i3/C3z
b8JX4OPx9fhYfC1zgrnBnKb2lznB3GBOUDtLjSq1qr8m5r/JCckNeWYfCncJ
1npuifwrPhjf2y76NzRp4mnGWC3y6ZyrDp8XzCnALbAmsDbAOcA9kM+/UzqH
5nnvQMxB7BZcO0PMTb3M5sG1L/xnDR3jeoBvpWaY2mHyKbRiOBP0+92DuUFi
1FaF+cxRuTVHtEc0R7RHOGv4Vfji93N/zwJ/BT9D7Rcx/UNxPeLbETQd+Gxi
buJQ3tn8OH7gJonRqQ+CD34tt+aJ9rl1MBeNprQwXh+xPN+MwV/CecF9sabA
p86N8RwaC/k7MQ7rMusz9TTERMQdxB98qwynD7ePZop+SoxCrMKaxtr2R+Q/
WNNGB/N3cC9oLPCFrLGstcTcfB8zsXDtKTk2ej2cEdwR+cz7pTmlWTHef680
RwRXxBrCWtItng/OAf7+ouDajU+1XRLMIcElkdNTrwpfCs+yfvQ3rCmsLawh
fEtFDSFaGT4Lfpk1g7UDTu7A4DVpUhw/1ANRP/xn5nuGz/u2MBeKJrl/8Bxl
rjKnWe+pLyaX4ZtG+GNiOGI5YgRiBdYs1i44L+p54DfhIvmGeZTavwX7WjTZ
FcExLLEsa/Sw+PtwTeQ85D7Ux6FLwfHwfRn1hDMzv3P4XDhmuGY0bOrPWRNZ
G1lDTi5cf0UtNTUMfL9FjEesR8xG7TxrDGsNMdqJ5BrEg4nHCOMFTpRYBY4d
vYg1lbWVGPyswmsqayuc6OHBMR6xHjH5cbKfX1gbR2NGa+b/2OD/2uD/ZDip
cH3435k5NfhVvvng2w++YThX9lCaO0WfRDtnjWetZ40/p/A3I3w7wjcjZxeu
0ed5UMOAfs7/2cH/3UFM3kb27sG14fD/xENwkrwvYo7x6v9/mVComw==
           "]], Polygon3DBox[CompressedData["
1:eJwl13m8z1Uex/EfF/fi9/td+xKaZImpR5ZoxRTNRNm1CWWbSZs12VJkGbJe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           "]], Polygon3DBox[CompressedData["
1:eJwlzj1OQkEUQOErBTwIGgoJpRrchpWVNBojWPhDfJ0WYoxRKpbgDnQBLoCI
MVrJBhQKMSYS92Bl9HuhOMmZM/dOZiXtbJ/mImIeeeyWI1oYLERMkogPPPBb
tPmwEPGCX96wtINCcdayu4Q3tQ7q/EubYpWfaRfembO7r+3hhhf1rl7mJ9ox
7nhF//SXdf6NRzMHzoc45z/mGtjAtfuc+Z5e41faJfq8pi/hKZm17O6ZL2up
t44wsvfnj1GKGPOxtmbmHffOm85b2aydRXOv3nhDlafaP3UZKdI=
           "]]},
         Annotation[#, "Charting`Private`Tag$7172#2"]& ]],
       Lighting->{{"Ambient", 
          RGBColor[
          0.19699838300000003`, 0.252204821, 0.33320940200000004`]}, {
         "Directional", 
          RGBColor[
          0.15473514000000002`, 0.21284718000000002`, 0.29811516000000005`], 
          ImageScaled[{0, 2, 2}]}, {"Directional", 
          RGBColor[
          0.15473514000000002`, 0.21284718000000002`, 0.29811516000000005`], 
          ImageScaled[{2, 2, 2}]}, {"Directional", 
          RGBColor[
          0.15473514000000002`, 0.21284718000000002`, 0.29811516000000005`], 
          ImageScaled[{2, 0, 2}]}}]}, {}, {}, {}, {}, {}}, {
     {GrayLevel[0], Line3DBox[CompressedData["
1:eJwl0j1IlHEcB/CfltqLbyBxnJUiKk46RCLF2WSgJQ0ORQoiDZV29D7oIm1F
RKNNTqLY5nBCDVmpmbOllqUpQhBIkEmzn4fg/vf5fp97/r/nhau5dqfrdl5E
jFp/hSRP+tpm2ZGIcp7OjzjvWFqv1i/ItXKT3MRWZtiZ/MYeXuUAb3KID/mE
j/iCzzjBW0cjbpg3LXe4TlbP6vP6ZfmUnHL8k/5Hvme9KYj4rM9wmW+5wndc
5Xt+Ya4wotn5X+WqIvdqTkvyHFxL9stnrEp91p5vjp3V5+Tv8jzX+YEbXOAP
fuQmX5mfcf5x+7f0XfmBNePZlvQ+x+/qU/pc8qzymJyTRzjOpxzhMB/zPgd5
nf28wm6282Jyf8wks72bS+Y1yj2u06t36FV6ifyb//QyLrLNanDfpXo9S1jL
YtbQlqim8ZH1XDs8bJ303urM/yU/N+MQX/In93jCHqfEueQ9yLZGmj6R8nWQ
x3iAFTQqXjupNe///20f8MZJPA==
       "]]}, 
     {GrayLevel[0], Line3DBox[CompressedData["
1:eJwl0klIlWEUBuCTUykZikEiLcoQN0kU0jJuIdKmTC1tMIkmSSRrFy2aHBos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       "]]}, 
     {GrayLevel[0.2], 
      Line3DBox[{2575, 2825, 3030, 1480, 2574, 3067, 3068, 3973, 2751, 2576, 
       3801, 2752, 2577, 3802, 2753, 2578, 3803, 2754, 2579, 3684, 3804, 2927,
        2755, 2905, 3950, 2977, 2978, 2906, 2974, 2756, 3029, 2975, 2976, 
       2908, 2979, 3619, 3959, 2907, 2827, 2928, 3957, 2757, 2580, 3805, 2758,
        2581, 3806, 2759, 2582, 3807, 2760, 2583, 3808, 2761, 2584, 1646, 
       3011, 2762, 2829}], 
      Line3DBox[{2585, 3010, 3044, 2830, 3009, 3060, 3061, 3969, 3059, 3058, 
       1492, 2586, 3809, 2763, 2587, 3810, 2764, 2588, 3811, 2765, 2589, 3924,
        2831, 2929, 2766, 2832, 3925, 2980, 2826, 3031, 2965, 2966, 2833, 
       2967, 2828, 2983, 2981, 2982, 3960, 2909, 2835, 2930, 3620, 3926, 2590,
        3812, 2767, 2591, 3813, 2768, 2592, 3814, 2769, 2593, 1835, 2770, 
       3062, 3970, 2837, 3032, 3033, 3045, 3034, 2910}], 
      Line3DBox[{2595, 2838, 3621, 3928, 2594, 3622, 3862, 2596, 1503, 2597, 
       3815, 2771, 2598, 3816, 2772, 2599, 3929, 2839, 2931, 2773, 2840, 3690,
        3961, 2834, 3035, 2968, 2969, 2841, 2970, 2836, 2986, 2985, 3927, 
       3692, 2911, 2844, 2933, 3623, 3931, 2600, 3624, 3863, 2601, 3817, 2774,
        2602, 3818, 2775, 2603, 3819, 2776, 2604, 3932, 2847, 2777, 2912}], 
      Line3DBox[{2606, 3625, 3864, 2605, 3626, 3865, 2607, 3627, 3866, 2608, 
       1515, 2609, 3820, 2778, 2610, 3933, 2848, 2932, 2849, 2611, 3691, 3930,
        2842, 2984, 2843, 2945, 3012, 2946, 2845, 3036, 2846, 3962, 3693, 
       2612, 2850, 2934, 2851, 3934, 2613, 3628, 3867, 2614, 3629, 3868, 2615,
        3821, 2779, 2616, 3822, 2780, 2617, 3823, 2781, 2618}], 
      Line3DBox[{2620, 3630, 3869, 2619, 3631, 3870, 2621, 3632, 3871, 2622, 
       3633, 3872, 2623, 1528, 2624, 3935, 2852, 2935, 2853, 2625, 3958, 2943,
        2854, 2936, 2855, 2947, 3013, 2948, 2856, 2937, 2857, 2944, 3951, 
       2626, 2858, 2938, 2859, 3936, 2627, 3634, 3873, 2628, 3635, 3874, 2629,
        3636, 3875, 2630, 3824, 2782, 2631, 3825, 2783, 2632}], 
      Line3DBox[{2634, 3637, 3876, 2633, 3638, 3877, 2635, 3639, 3878, 2636, 
       3640, 3879, 2637, 3641, 3880, 2638, 1668, 2939, 2860, 2639, 3937, 2861,
        2940, 2950, 2949, 2640, 2951, 2952, 2941, 2862, 3952, 2641, 2863, 
       2942, 1673, 2642, 3642, 3881, 2643, 3643, 3882, 2644, 3644, 3883, 2645,
        3645, 3884, 2646, 3826, 2784, 2647}], 
      Line3DBox[{106, 1380, 107, 1381, 108, 1382, 109, 1383, 110, 1384, 111, 
       1385, 112, 1819, 515, 113, 516, 1386, 114, 1387, 115, 1388, 116, 1389, 
       117, 1390, 118, 1391, 119, 1392, 120}], 
      Line3DBox[{2649, 3646, 3885, 2648, 3647, 3886, 2650, 3648, 3887, 2651, 
       3649, 3888, 2652, 3650, 3889, 2653, 3685, 3890, 2864, 2654, 1676, 2961,
        3015, 3023, 3014, 2655, 3016, 3017, 2971, 1678, 2656, 2865, 3891, 
       3686, 2657, 3651, 3892, 2658, 3652, 3893, 2659, 3653, 3894, 2660, 3654,
        3895, 2661, 3655, 3896, 2662}], 
      Line3DBox[{2664, 3827, 2785, 2663, 3828, 2786, 2665, 3829, 2787, 2666, 
       3830, 2788, 2667, 3831, 2789, 2668, 3687, 3832, 2790, 2913, 1682, 2962,
        2987, 3025, 2791, 3024, 2988, 2989, 2972, 3048, 1565, 2914, 2866, 
       3833, 2792, 2669, 3834, 2793, 2670, 3835, 2794, 2671, 3836, 2795, 2672,
        3837, 2796, 2673, 3838, 2797, 2674}], 
      Line3DBox[{2676, 3656, 3897, 2675, 3839, 2798, 2677, 3840, 2799, 2678, 
       3841, 2800, 2679, 3842, 2801, 2680, 1686, 2802, 2915, 3953, 2867, 2963,
        2990, 3027, 2803, 3026, 2991, 2992, 2973, 3049, 3657, 3967, 2916, 
       2868, 1578, 2681, 3843, 2804, 2682, 3844, 2805, 2683, 3845, 2806, 2684,
        3846, 2807, 2685, 3847, 2808, 2686}], 
      Line3DBox[{2688, 3658, 3898, 2687, 3659, 3899, 2689, 3848, 2809, 2690, 
       3849, 2810, 2691, 3850, 2811, 2692, 3938, 2869, 2812, 2917, 3954, 2870,
        2964, 2993, 3053, 2994, 3054, 2918, 3037, 2995, 3028, 2871, 3052, 
       3050, 3051, 3968, 2919, 2872, 3660, 3939, 2693, 1591, 2694, 3851, 2813,
        2695, 3852, 2814, 2696, 3853, 2815, 2697, 3854, 2816, 2698}], 
      Line3DBox[{2700, 3661, 3900, 2699, 3662, 3901, 2701, 3663, 3902, 2702, 
       3855, 2817, 2703, 3856, 2818, 2704, 3940, 2873, 2819, 2920, 3694, 3963,
        2874, 3038, 2996, 2997, 2921, 2998, 2875, 3001, 3000, 3941, 3696, 
       2922, 2878, 3664, 3943, 2705, 3665, 3903, 2706, 1604, 2707, 3857, 2820,
        2708, 3858, 2821, 2709, 3859, 2822, 2710}], 
      Line3DBox[{2723, 2892, 2891, 3947, 2722, 2824, 3861, 2721, 1617, 2720, 
       3907, 3669, 2719, 3906, 3668, 2718, 3946, 2888, 2887, 2717, 3697, 3964,
        2880, 3039, 2879, 2954, 3018, 2953, 2877, 2999, 2876, 3942, 3695, 
       2716, 2884, 2883, 3945, 2715, 2823, 3860, 2714, 3905, 3667, 2713, 3904,
        3666, 2712, 3974, 3070, 3069, 2711, 3944, 2882, 2881, 2923}], 
      Line3DBox[{2736, 3022, 3047, 2900, 3021, 2899, 3065, 3972, 2735, 3064, 
       1842, 2734, 3913, 3675, 2733, 3912, 3674, 2732, 3911, 3673, 2731, 3949,
        2898, 2897, 2730, 3955, 3004, 2890, 3040, 2889, 2956, 3020, 2955, 
       2886, 3003, 2885, 3002, 3965, 2729, 2896, 2895, 3948, 2728, 3910, 3672,
        2727, 3909, 3671, 2726, 3908, 3670, 2725, 1839, 3071, 3063, 3072, 
       2724, 3971, 3066, 2894, 3041, 2893, 3046, 3042, 2924}], 
      Line3DBox[{2750, 3055, 3057, 3056, 3043, 1718, 2749, 3923, 3683, 2748, 
       3922, 3682, 2747, 3921, 3681, 2746, 3920, 3680, 2745, 3689, 3919, 2904,
        2744, 3956, 3007, 3008, 2926, 2960, 2959, 2743, 2957, 2958, 2925, 
       3006, 3005, 3966, 2742, 2903, 3918, 3688, 2741, 3917, 3679, 2740, 3916,
        3678, 2739, 3915, 3677, 2738, 3914, 3676, 2737, 1712, 3019, 2901, 
       2902}], Line3DBox[{3074, 3328, 2035, 3073, 4035, 3248, 3075, 4036, 
       3249, 3076, 3329, 4099, 3250, 3445, 3756, 4153, 3492, 3251, 3446, 3757,
        4100, 3252, 3447, 3758, 4101, 3253, 3077, 4037, 3330, 3698, 4129, 
       3448, 3331, 4102, 3254, 3449, 3332, 3493, 4103, 3255, 3450, 3333, 4104,
        3256, 3078, 4038, 3257, 3079, 4039, 3258, 3080, 3759, 4105, 3259, 
       3334}], Line3DBox[{3082, 3699, 3975, 3081, 2046, 3083, 4040, 3260, 
       3084, 3335, 4106, 3261, 3451, 3760, 4154, 3494, 3262, 3452, 3761, 4107,
        3263, 3453, 4041, 3336, 3264, 3085, 4042, 3337, 3700, 4130, 3454, 
       3338, 3701, 4131, 3455, 3339, 3495, 4108, 3265, 3456, 3340, 4109, 3266,
        3086, 4043, 3267, 3087, 4044, 3268, 3088, 4045, 3269, 3089}], 
      Line3DBox[{3091, 3702, 3976, 3090, 3703, 3977, 3092, 2058, 3093, 3341, 
       4110, 3270, 3457, 3762, 4155, 3496, 3271, 3458, 4046, 3342, 3272, 3459,
        4047, 3343, 3273, 3094, 4048, 3344, 3704, 4132, 3460, 3345, 3705, 
       4133, 3461, 3346, 3706, 4134, 3462, 3347, 4111, 3274, 3095, 4049, 3275,
        3096, 4050, 3276, 3097, 4051, 3277, 3098}], 
      Line3DBox[{3100, 3707, 3978, 3099, 3708, 3979, 3101, 3709, 3980, 3102, 
       2070, 3103, 4052, 3348, 3497, 3278, 3463, 4053, 3349, 3499, 3279, 3464,
        4054, 3350, 3280, 3104, 4055, 3351, 3710, 4135, 3465, 3352, 3585, 
       3711, 4136, 3466, 3353, 3712, 3981, 3105, 3713, 3982, 3106, 4056, 3281,
        3107, 4057, 3282, 3108, 4058, 3283, 3109}], 
      Line3DBox[{3111, 3714, 3983, 3110, 3715, 3984, 3112, 3716, 3985, 3113, 
       3717, 3986, 3114, 2233, 3498, 3354, 3115, 4137, 3355, 3500, 3356, 3525,
        3116, 4138, 3357, 3358, 3117, 4059, 3359, 3360, 3987, 3118, 3587, 
       3588, 3361, 3586, 3362, 3988, 3119, 3363, 3364, 3989, 3120, 3718, 3990,
        3121, 3719, 3991, 3122, 4060, 3284, 3123, 4061, 3285, 3124}], 
      Line3DBox[{3136, 3379, 3378, 4062, 3135, 3999, 3724, 3134, 3998, 3723, 
       3133, 3997, 3722, 3132, 3764, 4156, 3503, 3377, 3131, 3996, 3375, 3542,
        3374, 3560, 3562, 4171, 3561, 3584, 3373, 3590, 3372, 3604, 3589, 
       4176, 3130, 3370, 3557, 3369, 3558, 4139, 3559, 3526, 3368, 3502, 2246,
        3129, 3367, 3501, 4112, 3763, 3128, 3995, 3721, 3127, 3994, 3720, 
       3126, 3993, 3612, 3611, 3125, 3992, 3366, 3365, 3467}], 
      Line3DBox[{3150, 3383, 4114, 3767, 3149, 4004, 3729, 3148, 4003, 3728, 
       3147, 4002, 3727, 3146, 3766, 4157, 3505, 3382, 3145, 3792, 4140, 3550,
        3471, 3535, 3534, 3144, 4166, 3532, 3533, 3470, 3376, 4158, 3143, 
       3371, 3469, 3529, 2444, 3142, 3527, 3528, 3468, 3791, 4168, 3549, 3141,
        3380, 3504, 4113, 3765, 3140, 4001, 3726, 3139, 4000, 3725, 3138, 
       3796, 4183, 3613, 3615, 3614, 3137, 4181, 3605, 3606, 3591, 3593, 3592,
        3472}], 
      Line3DBox[{3153, 3384, 4115, 3286, 3152, 4063, 3287, 3155, 4064, 3288, 
       3157, 4065, 3289, 3159, 3770, 4160, 3508, 3290, 3386, 3555, 4142, 3795,
        3477, 3543, 3291, 3571, 3790, 4143, 3544, 3478, 3292, 3509, 4066, 
       3381, 3479, 3545, 2113, 3572, 3546, 3547, 3481, 3556, 4170, 3293, 3480,
        3389, 3510, 4117, 3294, 3166, 4067, 3295, 3168, 4068, 3296, 3170, 
       3798, 4179, 3297, 3602, 3773, 4177, 3594, 3595, 3609, 3298, 3600}], 
      Line3DBox[{3172, 3567, 3568, 3566, 3603, 4180, 3799, 3171, 3601, 4178, 
       3797, 3169, 4009, 3734, 3167, 4008, 3733, 3165, 3772, 4159, 3507, 3388,
        3164, 3794, 4141, 3554, 3476, 3541, 3540, 3163, 3788, 4173, 3565, 
       3536, 3475, 3553, 3580, 2488, 3162, 3530, 3564, 3531, 3474, 3539, 3552,
        4167, 3789, 3161, 3537, 3538, 3473, 3793, 4169, 3551, 3160, 3385, 
       3506, 4116, 3769, 3158, 4007, 3732, 3156, 4006, 3731, 3154, 4005, 3730,
        3151, 3768, 4172, 3563, 3582, 3581, 3583}], 
      Line3DBox[{3174, 3390, 3735, 4010, 3173, 4069, 3299, 3175, 4070, 3300, 
       3176, 4071, 3301, 3177, 3774, 4161, 3511, 3302, 3391, 3771, 4162, 3512,
        3522, 3303, 3575, 4174, 3573, 3574, 3569, 3304, 3178, 4072, 3387, 
       3570, 3576, 3736, 4175, 3579, 3577, 3578, 3548, 2123, 3482, 3392, 3513,
        4118, 3305, 3179, 4073, 3306, 3180, 4074, 3307, 3181, 4075, 3308, 
       3182, 4076, 3393, 3309, 3483}], 
      Line3DBox[{3184, 3737, 4011, 3183, 3738, 4012, 3185, 4077, 3310, 3186, 
       4078, 3311, 3187, 3775, 4163, 3514, 3312, 3484, 4079, 3394, 3515, 3523,
        3524, 3485, 4080, 3395, 3313, 3599, 4182, 3607, 3608, 3396, 3596, 
       3597, 3598, 4144, 3486, 3610, 3616, 3397, 3618, 3617, 4184, 3800, 3487,
        3398, 2134, 3188, 4081, 3314, 3189, 4082, 3315, 3190, 4083, 3316, 
       3191, 4084, 3317, 3192}], 
      Line3DBox[{3194, 3739, 4013, 3193, 3740, 4014, 3195, 3741, 4015, 3196, 
       4085, 3318, 3197, 4086, 3399, 3516, 3319, 3488, 4087, 3400, 3320, 3489,
        4088, 3401, 3321, 3198, 4089, 3402, 3742, 4145, 3490, 3403, 3743, 
       4146, 3491, 3404, 3744, 4016, 3199, 2146, 3200, 4090, 3322, 3201, 4091,
        3323, 3202, 4092, 3324, 3203}], 
      Line3DBox[{3205, 3745, 4017, 3204, 3746, 4018, 3206, 3747, 4019, 3207, 
       3405, 4119, 3776, 3208, 4147, 3406, 3517, 3407, 3209, 4148, 3408, 3409,
        3210, 4149, 3410, 3411, 3211, 4093, 3412, 3413, 4020, 3212, 3414, 
       3415, 4021, 3213, 3416, 3417, 4022, 3214, 3418, 4120, 3777, 3215, 2158,
        3216, 4094, 3325, 3217, 4095, 3326, 3218}], 
      Line3DBox[{3220, 3748, 4023, 3219, 3749, 4024, 3221, 3750, 4025, 3222, 
       3419, 4121, 3778, 3223, 3779, 4122, 3518, 3420, 3224, 4150, 3421, 3422,
        3225, 4151, 3423, 3424, 3226, 4096, 3425, 3426, 4026, 3227, 3427, 
       3428, 4027, 3228, 3429, 3519, 4164, 3780, 3229, 3430, 4123, 3781, 3230,
        3751, 4028, 3231, 2170, 3232, 4097, 3327, 3233}], 
      Line3DBox[{3247, 3444, 2346, 3246, 4034, 3755, 3245, 4033, 3754, 3244, 
       3787, 4128, 3443, 3243, 3786, 4165, 3521, 3442, 3242, 3785, 4127, 3441,
        3241, 4032, 3440, 3439, 4098, 3240, 3438, 3437, 4152, 3239, 3436, 
       4126, 3784, 3238, 3435, 3520, 4125, 3783, 3237, 3782, 4124, 3434, 3236,
        4031, 3753, 3235, 4030, 3752, 3234, 4029, 3432, 3431, 3433}]}, 
     {GrayLevel[0.2], 
      Line3DBox[{1299, 1851, 1481, 3973, 1300, 1831, 1492, 1321, 3862, 1502, 
       1332, 3865, 1513, 1344, 3870, 1525, 1356, 3877, 1537, 1368, 3886, 1549,
        1381, 1561, 3828, 1394, 1573, 3839, 1407, 3899, 1585, 1420, 3901, 
       1597, 1433, 1852, 3974, 1609, 1446, 1839, 1620, 1458, 3914, 1630, 
       1470}], Line3DBox[{1301, 1482, 3801, 1302, 1493, 3809, 1322, 1503, 
       1333, 3866, 1514, 1345, 3871, 1526, 1357, 3878, 1538, 1369, 3887, 1550,
        1382, 1562, 3829, 1395, 1574, 3840, 1408, 1586, 3848, 1421, 3902, 
       1598, 1434, 3904, 1610, 1447, 3908, 1621, 1459, 3915, 1631, 1471}], 
      Line3DBox[{1303, 1483, 3802, 1304, 1494, 3810, 1323, 1504, 3815, 1334, 
       1515, 1346, 3872, 1527, 1358, 3879, 1539, 1370, 3888, 1551, 1383, 1563,
        3830, 1396, 1575, 3841, 1409, 1587, 3849, 1422, 1599, 3855, 1435, 
       3905, 1611, 1448, 3909, 1622, 1460, 3916, 1632, 1472}], 
      Line3DBox[{1305, 1484, 3803, 1306, 1495, 3811, 1324, 1505, 3816, 1335, 
       1516, 3820, 1347, 1528, 1359, 3880, 1540, 1371, 3889, 1552, 1384, 1564,
        3831, 1397, 1576, 3842, 1410, 1588, 3850, 1423, 1600, 3856, 1436, 
       1612, 3860, 1449, 3910, 1623, 1461, 3917, 1633, 1473}], 
      Line3DBox[{1307, 1641, 1642, 3804, 1750, 1647, 3924, 1648, 1751, 1653, 
       3929, 1654, 1752, 1660, 3933, 1661, 1753, 1664, 3935, 1665, 1755, 1668,
        1669, 1372, 3890, 1674, 1675, 1385, 1680, 1681, 3832, 1398, 1685, 
       1686, 1411, 1691, 3938, 1692, 1424, 1697, 3940, 1698, 1437, 1701, 3945,
        1702, 1450, 1707, 3948, 1708, 1462, 3918, 1713, 1714, 1716}], 
      Line3DBox[CompressedData["
1:eJwVzjEvg1EYBeC3Q1sDOlALkRj4QZJ2sDEYKzUUER0MLLpYamE1dbIRkYg0
IkLEJiUhRUJCMZQO6jE8Ofecm+/mG5uZmywkIiLPSDLiPhXxwD4fFDIRLXnA
J18U+Sbnri0P+aHDAkv2rvzliEhHJJiyl/VFbrilZLuTx6zSYI1p+4lcp8kG
dSoMe2ucCU71TR6pcvb/f77dkk9sc868bUc+88IrFyzbU95JcqmnZQ+z9l29
z7mXK+d+uWLPyJo+KAe4ds7Ksrshuae/88ao/gdUezWA
       "]], 
      Line3DBox[{8, 501, 320, 559, 3029, 23, 505, 242, 2833, 549, 38, 508, 
       250, 2841, 550, 53, 509, 3012, 257, 389, 68, 510, 3013, 337, 393, 83, 
       2640, 511, 340, 540, 98, 2655, 514, 343, 574, 113, 519, 346, 542, 3024,
        128, 522, 349, 544, 3026, 143, 525, 352, 2918, 546, 158, 528, 355, 
       2921, 578, 173, 529, 3018, 292, 555, 188, 532, 3020, 300, 556, 203, 
       2743, 536, 310, 557, 218}], 
      Line3DBox[{1311, 1487, 3805, 1312, 1498, 3812, 1327, 3863, 1508, 1338, 
       3867, 1519, 1350, 3873, 1531, 1362, 3881, 1543, 1375, 3892, 1555, 1388,
        1567, 3834, 1401, 1579, 3843, 1414, 1591, 1427, 3903, 1603, 1440, 
       3906, 1615, 1453, 3911, 1626, 1465, 3920, 1636, 1476}], 
      Line3DBox[{1313, 1488, 3806, 1314, 1499, 3813, 1328, 1509, 3817, 1339, 
       3868, 1520, 1351, 3874, 1532, 1363, 3882, 1544, 1376, 3893, 1556, 1389,
        1568, 3835, 1402, 1580, 3844, 1415, 1592, 3851, 1428, 1604, 1441, 
       3907, 1616, 1454, 3912, 1627, 1466, 3921, 1637, 1477}], 
      Line3DBox[{1315, 1489, 3807, 1316, 1500, 3814, 1329, 1510, 3818, 1340, 
       1521, 3821, 1352, 3875, 1533, 1364, 3883, 1545, 1377, 3894, 1557, 1390,
        1569, 3836, 1403, 1581, 3845, 1416, 1593, 3852, 1429, 1605, 3857, 
       1442, 1617, 1455, 3913, 1628, 1467, 3922, 1638, 1478}], 
      Line3DBox[{1317, 1490, 3808, 1318, 1834, 1835, 1330, 1511, 3819, 1341, 
       1522, 3822, 1353, 1534, 3824, 1365, 3884, 1546, 1378, 3895, 1558, 1391,
        1570, 3837, 1404, 1582, 3846, 1417, 1594, 3853, 1430, 1606, 3858, 
       1443, 1618, 3861, 1456, 1842, 1843, 1468, 3923, 1639, 1479}], 
      Line3DBox[{1319, 1645, 1646, 1818, 1837, 1838, 1836, 3970, 1651, 1823, 
       1658, 3932, 1659, 1342, 1523, 3823, 1354, 1535, 3825, 1366, 1547, 3826,
        1379, 3896, 1559, 1392, 1571, 3838, 1405, 1583, 3847, 1418, 1595, 
       3854, 1431, 1607, 3859, 1444, 1705, 3947, 1706, 1820, 1845, 3972, 1846,
        1844, 1711, 1824, 1718, 1719, 1720}], 
      Line3DBox[{1469, 1629, 1712, 1457, 1619, 1841, 1840, 1850, 3971, 1849, 
       1445, 1608, 3944, 1700, 1432, 1596, 3900, 1419, 1584, 3898, 1406, 1572,
        3897, 1393, 3827, 1560, 1380, 1548, 3885, 1367, 1536, 3876, 1355, 
       1524, 3869, 1343, 1512, 3864, 1331, 1501, 3928, 1652, 1320, 1491, 3969,
        1833, 1832, 1848, 1847, 1298, 1480, 1640, 1721}], 
      Line3DBox[CompressedData["
1:eJwVzL8rxHEcx/G3H0cYOAuGGw6L4UZlVValWzBYriwGp6i7pM5gMKnLZOEP
8AdYLvmRLulKOmU7sZxyG0pHeRievV7v5+v7/aRz+ex6R0Qs4yoRkeuJeMUj
xnojtgYjRuWZbYkb0etyWG7akvLUNs8N6Q9yhx/Q+3Fsm+X69FX+Xm/hHWXb
tNzlJ+01/QR7/JQs8RP8nX6EAp+S49ytPMQal5RVHGDFnZBp39zIDW/sywX+
G9f6M/J8Q85xLVzq21y3/7oww72gU1/kL+y/+EGGf0KRb7vP8YVPpPgaCrYP
dwVvaP5v3voDqhgxow==
       "]], 
      Line3DBox[{1475, 1635, 1717, 3919, 1464, 1625, 3949, 1710, 1452, 1614, 
       3946, 1704, 1439, 1602, 3943, 1699, 1426, 1590, 3939, 1696, 1413, 1578,
        1690, 1400, 3833, 1566, 1684, 1387, 1554, 1679, 3891, 1374, 1542, 
       1673, 1361, 1530, 3936, 1667, 1349, 1518, 3934, 1663, 1337, 1507, 3931,
        1657, 1326, 1497, 3926, 1650, 1310, 3957, 1486, 1643, 1644}], 
      Line3DBox[{1854, 2036, 4035, 1855, 2046, 1878, 3977, 2057, 1892, 3979, 
       2068, 1906, 3984, 2079, 1919, 2572, 3993, 2090, 1930, 4183, 2556, 2100,
        1941, 4005, 2110, 4063, 1951, 2119, 4069, 1961, 4012, 2129, 1972, 
       4014, 2140, 1984, 4018, 2151, 1998, 4024, 2162, 2012, 4030, 2173, 
       2026}], Line3DBox[{1856, 2037, 4036, 1857, 2047, 4040, 1879, 2058, 
       1893, 3980, 2069, 1907, 3985, 2080, 1920, 3994, 2091, 1931, 4000, 2101,
        1942, 4006, 2111, 4064, 1952, 2120, 4070, 1962, 2130, 4077, 1973, 
       4015, 2141, 1985, 4019, 2152, 1999, 4025, 2163, 2013, 4031, 2174, 
       2027}], Line3DBox[{1858, 2183, 2350, 2038, 4099, 1859, 2196, 2357, 
       2048, 4106, 1880, 2209, 2364, 2059, 4110, 1894, 2070, 1908, 3986, 2081,
        1921, 3995, 2092, 1932, 4001, 2102, 1943, 4007, 2112, 4065, 1953, 
       2121, 4071, 1963, 2131, 4078, 1974, 2142, 4085, 1986, 4119, 2304, 2401,
        2153, 2000, 4121, 2317, 2408, 2164, 2014, 4124, 2331, 2415, 2175, 
       2028}], Line3DBox[{1860, 2184, 2351, 2185, 4153, 2422, 2197, 2358, 
       2198, 4154, 2423, 2210, 2365, 2211, 4155, 2424, 2222, 4052, 2223, 2425,
        2233, 2234, 2427, 4112, 2244, 2245, 2429, 4113, 2255, 2256, 2430, 
       4116, 2267, 2268, 4160, 2432, 2279, 2280, 4161, 2434, 2287, 2288, 4163,
        2436, 2294, 4086, 2295, 2438, 2305, 4147, 2402, 2306, 2439, 4122, 
       2318, 2409, 2319, 2440, 4125, 2332, 2416, 2333, 2336}], 
      Line3DBox[CompressedData["
1:eJwVz7srhWEcB/Cf4bhMxF9wVmeQQc5mkWOQQVlOMZwMSlHKP+EyuRSDy+CI
kWSyHaRErpN0KLlkUJYTi88zfPr+3u/zPO/7vNnS1NBkXUSM0NcQMdsUMUcn
840RmZaIgn7VnNedN0esmYu6suzRXel2zOO6fdmre9AdmGd0x7Lde/r173zw
RoUTzshZP5UD7PHFLoPpHlywwI13bchH1jmk4OyivGSJJ3u2UrJJh/Vhucw1
K3za8yxf0jesV+Utd+nu3FPk23/82HvkP37lqK6m+zNXdBnPXc6Pyfp0P12r
7NZNyDaquqzM66ZlmW1e+QfHJzvD
       "]], 
      Line3DBox[{1864, 2189, 4037, 2190, 1865, 2203, 4042, 2205, 1883, 2216, 
       4048, 2218, 1897, 2228, 4055, 2230, 1910, 2238, 4059, 2240, 2504, 2548,
        4176, 2549, 2547, 2565, 2564, 2384, 2251, 4158, 2431, 2487, 2486, 
       2544, 2488, 2489, 2433, 4066, 2262, 2390, 2274, 4072, 2275, 2519, 2554,
        2555, 2553, 2571, 4182, 2570, 2551, 2300, 4089, 2301, 1989, 2311, 
       4093, 2313, 2003, 2324, 4096, 2326, 2017, 2339, 4098, 2341, 2343}], 
      Line3DBox[{1869, 2193, 2042, 4104, 1870, 2208, 2052, 4109, 1887, 2221, 
       2063, 4111, 1901, 3982, 2074, 1914, 3990, 2085, 1925, 3997, 2096, 1936,
        4002, 2106, 1947, 4008, 2116, 4067, 1957, 2125, 4073, 1967, 2135, 
       4081, 1979, 2146, 1993, 4120, 2316, 2157, 2007, 4123, 2329, 2168, 2021,
        4128, 2345, 2179, 2032}], 
      Line3DBox[{1871, 2043, 4038, 1872, 2053, 4043, 1888, 2064, 4049, 1902, 
       2075, 4056, 1915, 3991, 2086, 1926, 3998, 2097, 1937, 4003, 2107, 1948,
        4009, 2117, 4068, 1958, 2126, 4074, 1968, 2136, 4082, 1980, 2147, 
       4090, 1994, 2158, 2008, 4028, 2169, 2022, 4033, 2180, 2033}], 
      Line3DBox[{1873, 2044, 4039, 1874, 2054, 4044, 1889, 2065, 4050, 1903, 
       2076, 4057, 1916, 2087, 4060, 1927, 3999, 2098, 1938, 4004, 2108, 1949,
        4178, 2559, 2560, 4179, 1959, 2127, 4075, 1969, 2137, 4083, 1981, 
       2148, 4091, 1995, 2159, 4094, 2009, 2170, 2023, 4034, 2181, 2034}], 
      Line3DBox[{1875, 2194, 2195, 4105, 1876, 2055, 4045, 1890, 2066, 4051, 
       1904, 2077, 4058, 1917, 2088, 4061, 1928, 2253, 4062, 2254, 1939, 4114,
        2264, 2265, 2512, 4180, 2562, 2563, 2561, 2277, 4177, 2550, 2285, 
       4076, 2286, 1970, 2138, 4084, 1982, 2149, 4092, 1996, 2160, 4095, 2010,
        2171, 4097, 2024, 2346, 2347, 2348}], 
      Line3DBox[{2025, 2172, 4029, 2330, 2011, 2161, 4023, 1997, 2150, 4017, 
       1983, 2139, 4013, 1971, 2128, 4011, 1960, 2118, 4010, 2278, 1950, 4115,
        2109, 2266, 4172, 1940, 2099, 2558, 2557, 2567, 4181, 2566, 1929, 
       2089, 3992, 2243, 1918, 2078, 3983, 1905, 2067, 3978, 1891, 2056, 3976,
        1877, 2045, 3975, 1853, 2035, 2182, 2349}], Line3DBox[CompressedData["
1:eJwVzz0oBHAYx/HnJndSZ5H5riuTOhbZGCgnXek26kpZLp1BssrufXDKZEHJ
dEoWJoWkRKEkLxlcrIw+hm+/3/N9nv/wz0xMj1YTEVHGV1PEfDJiMxUxg9N0
RE6+8rP8lH7MtclbrsJN6nUuKc+4MtfVKs2pZh5HfInP87/8GB7wiHvs2xfs
i/bv5jc0zDV5gw1su+nnnv87XvQ1eY1VjHhbc9PDP5lXcKcvyysM2i/JRTed
/Ld+gCIuMGx/Kc+x4CbrpqF/Ygjr/njCzdm1yw73A/yhXuFaZI7r4/b0cS4h
s1wvt6UXuB9kuG5uFzv4wB9JpDc0
       "]], Line3DBox[CompressedData["
1:eJwVziFIA1AUheHrgrrB0KZNZCgGNWgZNg2GLW0iLigMg2WoRYZV7CaLQy3G
MaZhjOmCswzsJqPdIIalsW/h59zz3/d4b/H4vHg2EREF/E5FXE1H1JIRF1jG
wmzED1/lT/W3mYg5+cVVuBNzi0vJPlfmNtwp60Nzh9uX6VREiT/k//UGn5cl
/QM9PHE5Z3b4d/0A3fGbWOPv7LN2r/oeXvCMVbsbu3W7pl7AvT996td8Rv5x
OdzyPf2Sn5cr7u7ybXOFS8slbpurm4+4hMxwW9yjOc9N6gO5yT2M38M3Rs/W
Ku0=
       "]], 
      Line3DBox[{2031, 2178, 2421, 2344, 4165, 2020, 2167, 2414, 2328, 4164, 
       2006, 2156, 2407, 4022, 2315, 1992, 2145, 4016, 2303, 1978, 2134, 2293,
        1966, 4118, 2124, 2284, 1956, 4117, 2115, 2276, 4159, 1946, 2105, 
       2263, 4157, 1935, 2095, 2252, 4156, 1924, 2084, 3989, 2242, 1913, 2073,
        3981, 2232, 1900, 2062, 4134, 2370, 2220, 1886, 4108, 2051, 2363, 
       2207, 1868, 4103, 2041, 2356, 2191, 2192}], Line3DBox[CompressedData["
1:eJwV0L8rxHEcx/G3qCOD8w/Q2Swy6GwGEpLlutINFgZloFtlkwF/AGXE5JTD
5scNyo9FXRh1VsN1sWDz+AzPnq/36/351Pf7yS2uFVbbImIeA10RhzhCP8ro
S2QjGpmIXnkFeXOW67oOXsKIrp3vdH+dET89EQvmX3mLv7mlK8lf8iaPu/Mh
f6KBmu4WRQzZ3aSzeLV7xwsuzReYsS/wOVp4sqvjEafmCqadmeMTNPFgN8v3
vMHXPMWDzl3J63KV33znhHwmL/ufY37WjaW3kUu6bnf25VHdHk+mt9DtysO6
HT7g7fQm+AdfLDSh
       "]]}, {}, {}, {}, {}, {}}},
   VertexNormals->CompressedData["
1:eJzEuHc013/7By4UlaiQQklINi1lPWVEGkrJSPaKSkWhkpTsUUpkZBQamkYS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    "]],
  Axes->True,
  AxesLabel->{None, None, None},
  AxesOrigin->{Automatic, Automatic, Automatic},
  BoxRatios->{1, 1, 0.4},
  DisplayFunction->Identity,
  FaceGrids->None,
  FaceGridsStyle->Automatic,
  ImageSize->{367.5670461614924, 229.12850921318125`},
  Method->{"DefaultBoundaryStyle" -> Directive[
      GrayLevel[0.3]], "RotationControl" -> "Globe"},
  PlotRange->{{-2, 2}, {-2, 2}, {-18., 16.832293673094284`}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{-0.7871285341549477, -2.559789080464275, 2.0683105507285253`},
  ViewVertical->{0., 0., 1.}]], "Output",
 CellChangeTimes->{
  3.710623558855688*^9, 3.7106237406727576`*^9, {3.7106237933029003`*^9, 
   3.710623819167308*^9}, 3.7106238676063843`*^9, 3.7106239909675403`*^9, 
   3.71062408570194*^9, 3.7106241526572013`*^9, 
   3.710624185517058*^9},ExpressionUUID->"f5f5fdcb-c093-4245-99b5-\
4408d5d7bd88"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{"a", "=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"1", ",", "1", ",", "1"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"2", ",", "2", ",", "2"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"3", ",", "3", ",", "3"}], "}"}]}], 
   "}"}]}], "\[IndentingNewLine]", 
 RowBox[{"MatrixForm", "[", "a", "]"}]}], "Input",
 CellChangeTimes->{{3.710626035132475*^9, 
  3.710626092511268*^9}},ExpressionUUID->"397face9-e003-4177-903e-\
de82b51be14f"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"1", ",", "1", ",", "1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"2", ",", "2", ",", "2"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"3", ",", "3", ",", "3"}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{
  3.710626096403026*^9},ExpressionUUID->"f2946b80-2a31-442e-aed4-\
d64643f37d35"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 TagBox[
  RowBox[{"(", "\[NoBreak]", GridBox[{
     {"1", "1", "1"},
     {"2", "2", "2"},
     {"3", "3", "3"}
    },
    GridBoxAlignment->{
     "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, 
      "RowsIndexed" -> {}},
    GridBoxSpacings->{"Columns" -> {
        Offset[0.27999999999999997`], {
         Offset[0.7]}, 
        Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> {
        Offset[0.2], {
         Offset[0.4]}, 
        Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}],
  Function[BoxForm`e$, 
   MatrixForm[BoxForm`e$]]], "\[IndentingNewLine]", 
 RowBox[{"b", "=", 
  RowBox[{"{", GridBox[{
     {"1", "1", "1"},
     {"2", "2", "3"},
     {"4", "5", "6"}
    }], "}"}]}], "\[IndentingNewLine]", "b"}], "Input",
 CellChangeTimes->{{3.710626103274913*^9, 
  3.710626206888768*^9}},ExpressionUUID->"748a1ca4-6faf-4e1a-b315-\
e4bfca83f308"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"1", ",", "1", ",", "1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"2", ",", "2", ",", "2"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"3", ",", "3", ",", "3"}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{{3.7106261877724085`*^9, 
  3.7106262102361403`*^9}},ExpressionUUID->"f999b92a-2cf1-4089-b5c9-\
9b23854ed3bd"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"1", ",", "1", ",", "1"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"2", ",", "2", ",", "3"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"4", ",", "5", ",", "6"}], "}"}]}], "}"}], "}"}]], "Output",
 CellChangeTimes->{{3.7106261877724085`*^9, 
  3.710626210238142*^9}},ExpressionUUID->"94dd38cc-8653-41d3-bd33-\
fdd82b26e03b"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"{", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"1", ",", "1", ",", "1"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"2", ",", "2", ",", "3"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"4", ",", "5", ",", "6"}], "}"}]}], "}"}], "}"}], 
  "\[IndentingNewLine]", "\[IndentingNewLine]"}], "\[IndentingNewLine]", 
 RowBox[{"c", "=", 
  RowBox[{"[", GridBox[{
     {"1", "2", "3"},
     {"2", "3", "4"},
     {"5", "6", "7"}
    }], "]"}]}], "\[IndentingNewLine]", "c"}], "Input",
 CellChangeTimes->{{3.710626242627286*^9, 3.7106262805145044`*^9}},
 EmphasizeSyntaxErrors->
  True,ExpressionUUID->"716e1997-4b1d-4623-9371-ce8ce42d2aa6"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"1", ",", "1", ",", "1"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"2", ",", "2", ",", "3"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"4", ",", "5", ",", "6"}], "}"}]}], "}"}], "}"}]], "Output",
 CellChangeTimes->{
  3.7106262838278522`*^9},ExpressionUUID->"282baf81-b11e-40ba-ac7f-\
2e2c3919e335"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"\[IndentingNewLine]", 
  RowBox[{
   RowBox[{"A", "=", 
    RowBox[{"(", GridBox[{
       {"1", "1", "1", "6"},
       {"1", 
        RowBox[{"-", "1"}], "1", "2"},
       {"2", "2", 
        RowBox[{"-", "1"}], "6"}
      }], ")"}]}], "\[IndentingNewLine]", "\[IndentingNewLine]", 
   "\[IndentingNewLine]", 
   RowBox[{"MatrixForm", "[", 
    RowBox[{"RowReduce", "[", "A", "]"}], "]"}]}]}]], "Input",
 CellChangeTimes->{{3.7106264865678587`*^9, 3.710626580049816*^9}, {
  3.7106266556073337`*^9, 3.710626656937276*^9}, {3.710626735229284*^9, 
  3.7106267357946844`*^9}, {3.710626774971917*^9, 3.7106268033280106`*^9}, {
  3.710626846996602*^9, 
  3.7106268846228175`*^9}},ExpressionUUID->"1b48dba7-6ac5-47d2-99e6-\
b76ca174d33d"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"1", ",", "1", ",", "1", ",", "6"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"1", ",", 
     RowBox[{"-", "1"}], ",", "1", ",", "2"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"2", ",", "2", ",", 
     RowBox[{"-", "1"}], ",", "6"}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{
  3.7106265852365103`*^9, 3.7106266612303314`*^9, 3.7106266943377557`*^9, {
   3.7106267262569256`*^9, 3.710626806947175*^9}, {3.7106268646444263`*^9, 
   3.7106268875589104`*^9}},ExpressionUUID->"4ccec7e5-6b51-4ab0-ab83-\
bde65dee0e2f"],

Cell[BoxData[
 TagBox[
  RowBox[{"(", "\[NoBreak]", GridBox[{
     {"1", "0", "0", "2"},
     {"0", "1", "0", "2"},
     {"0", "0", "1", "2"}
    },
    GridBoxAlignment->{
     "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, 
      "RowsIndexed" -> {}},
    GridBoxSpacings->{"Columns" -> {
        Offset[0.27999999999999997`], {
         Offset[0.7]}, 
        Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> {
        Offset[0.2], {
         Offset[0.4]}, 
        Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}],
  Function[BoxForm`e$, 
   MatrixForm[BoxForm`e$]]]], "Output",
 CellChangeTimes->{
  3.7106265852365103`*^9, 3.7106266612303314`*^9, 3.7106266943377557`*^9, {
   3.7106267262569256`*^9, 3.710626806947175*^9}, {3.7106268646444263`*^9, 
   3.710626887560912*^9}},ExpressionUUID->"8f15c34d-5150-43e1-9bf0-\
b8f4c971dbb0"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"Demanda", ":=", "100"}], ";"}], "\[IndentingNewLine]", 
 RowBox[{"Preco", "=", "5"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"S", "=", "2"}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"Cm", "=", "4"}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{
   RowBox[{"CT", "=", 
    RowBox[{
     RowBox[{"Demanda", "*", "Preco"}], "+", 
     RowBox[{"Demanda", "*", 
      RowBox[{"S", "/", "q"}]}], "+", 
     RowBox[{"Cm", "*", 
      RowBox[{"q", "/", "2"}]}]}]}], ";"}], 
  "\[IndentingNewLine]"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"CT", "[", "1", "]"}], 
  "\[IndentingNewLine]"}], "\[IndentingNewLine]"}], "Input",
 CellChangeTimes->{{3.7106274464795685`*^9, 3.710627496273726*^9}, {
   3.7106275505607047`*^9, 3.710627662158327*^9}, {3.710627723725687*^9, 
   3.7106280026498394`*^9}, {3.710628062347657*^9, 3.710628063952794*^9}, {
   3.7106281182471566`*^9, 3.7106281236890125`*^9}, 3.7106281643641467`*^9, {
   3.7106282586662474`*^9, 3.7106282630353436`*^9}, {3.7106288965565767`*^9, 
   3.710628910954779*^9}, {3.7106289912944784`*^9, 3.7106290648163376`*^9}, {
   3.7106291068619757`*^9, 3.7106291084691143`*^9}, {3.7106653245354586`*^9, 
   3.7106653295970697`*^9}, {3.710665369286713*^9, 3.710665382690709*^9}, {
   3.7106654468876696`*^9, 3.7106654532251825`*^9}, {3.710665514573699*^9, 
   3.7106655149829884`*^9}, {3.7106655557218394`*^9, 3.7106655587079563`*^9}, 
   3.710665691512742*^9, {3.710666043922561*^9, 
   3.710666044429939*^9}},ExpressionUUID->"638ecb8d-4511-419b-9845-\
c22d8911c188"],

Cell[BoxData["5"], "Output",
 CellChangeTimes->{3.710665712984418*^9, 
  3.7106660508786936`*^9},ExpressionUUID->"47de8277-cb67-4fee-9e6a-\
01c9fdc7d15f"],

Cell[BoxData[
 RowBox[{
  RowBox[{"(", 
   RowBox[{"500", "+", 
    FractionBox["200", "q"], "+", 
    RowBox[{"2", " ", "q"}]}], ")"}], "[", "1", "]"}]], "Output",
 CellChangeTimes->{3.710665712984418*^9, 
  3.710666050893705*^9},ExpressionUUID->"8b47347b-6bec-4cb7-8fb9-\
ba397712a9e2"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"{", 
   RowBox[{"min", ",", "val"}], "}"}], "=", 
  RowBox[{"Minimize", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"CT", ",", 
      RowBox[{"q", "\[GreaterEqual]", "0"}]}], "}"}], ",", "q"}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.7106657280427866`*^9, 
  3.710665818805314*^9}},ExpressionUUID->"90b34eee-0193-4ad5-87fd-\
08c3758d3fee"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"540", ",", 
   RowBox[{"{", 
    RowBox[{"q", "\[Rule]", "10"}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{3.7106658282803264`*^9, 
  3.7106660640718627`*^9},ExpressionUUID->"1c3eb4b6-db7c-4efa-b4af-\
ae8f5d2f81cd"]
}, Open  ]],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.7106658643234634`*^9, 3.7106658900265217`*^9}, 
   3.710666090817626*^9},ExpressionUUID->"9226ecf4-c196-46ff-a6aa-\
ab8127dbf0d9"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plot", "[", 
  RowBox[{"CT", ",", 
   RowBox[{"{", 
    RowBox[{"q", ",", "1", ",", "100"}], "}"}], ",", 
   RowBox[{"Epilog", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"Red", ",", 
      RowBox[{"PointSize", "[", "0.025", "]"}], ",", 
      RowBox[{"Point", "[", 
       RowBox[{"{", 
        RowBox[{
         RowBox[{"q", "/.", "val"}], ",", "min"}], "}"}], "]"}]}], "}"}]}]}], 
  "]"}]], "Input",
 CellChangeTimes->{{3.710666094192003*^9, 3.7106662074983788`*^9}, {
  3.710666238194193*^9, 
  3.710666325241562*^9}},ExpressionUUID->"0c4fd4ca-8c55-4699-af57-\
bc7f50f68989"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[
      1.], LineBox[CompressedData["
1:eJwV2HlUTO8fB/BWLYrWadFkmmmTtChpkXmr0KYVTV/fSCESpR8ly9fcmabS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       "]]},
     Annotation[#, "Charting`Private`Tag$24176#1"]& ]}, {}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 540.000014520771},
  DisplayFunction->Identity,
  Epilog->{
    RGBColor[1, 0, 0], 
    PointSize[0.025], 
    PointBox[{10, 540}]},
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{1, 100}, {540.000014520771, 701.9999959995919}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.7106662173862443`*^9, 
  3.7106663295346265`*^9}},ExpressionUUID->"a7755171-8d85-44f7-922e-\
526d1249874d"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"c", "=", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "5"}], ",", 
     RowBox[{"-", "2"}]}], "}"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"a", "=", 
   RowBox[{"(", GridBox[{
      {
       RowBox[{"-", "1"}], "0"},
      {"0", 
       RowBox[{"-", "1"}]},
      {
       RowBox[{"-", "1"}], 
       RowBox[{"-", "2"}]}
     }], ")"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"b", "=", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "3"}], ",", 
     RowBox[{"-", "4"}], ",", 
     RowBox[{"-", "9"}]}], "}"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{"sol", "=", 
  RowBox[{"LinearProgramming", "[", 
   RowBox[{"c", ",", "a", ",", "b"}], "]"}]}]}], "Input",
 CellChangeTimes->{{3.7106658243262033`*^9, 3.7106658243332143`*^9}, {
  3.7106660737075047`*^9, 3.7106660770048385`*^9}, {3.7106668229346223`*^9, 
  3.710666954284727*^9}, {3.7106681682693043`*^9, 3.7106681700093637`*^9}, {
  3.71066834378909*^9, 3.71066834606031*^9}, {3.710668386399557*^9, 
  3.7106684077452383`*^9}, {3.7106684785373583`*^9, 
  3.7106684840322876`*^9}},ExpressionUUID->"2aae6eba-ac6e-45d2-abab-\
40f76cdda861"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"3", ",", "3"}], "}"}]], "Output",
 CellChangeTimes->{
  3.710666959521491*^9, 3.710668174342476*^9, {3.7106683972577376`*^9, 
   3.7106684131501293`*^9}, 3.710668488956204*^9, 
   3.710669009777378*^9},ExpressionUUID->"1be7954c-f0f7-4fdd-b94d-\
f2c4ac472b01"]
}, Open  ]],

Cell[BoxData[""], "Input",
 CellChangeTimes->{3.7106690050149727`*^9},
 NumberMarks->False,ExpressionUUID->"1158ce02-28f5-4ee7-9461-7bcf908fc482"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.7106690152402935`*^9, 
  3.7106690152422867`*^9}},ExpressionUUID->"e4445203-7401-451b-b5ca-\
7f397a3848ac"],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"constr", "=", 
   RowBox[{"And", " ", "@@", 
    RowBox[{"MapThread", "[", 
     RowBox[{"GreaterEqual", ",", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"a", ".", 
         RowBox[{"{", 
          RowBox[{"x", ",", "y"}], "}"}]}], ",", "b"}], "}"}]}], "]"}]}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"region", "=", 
   RowBox[{"RegionPlot", "[", 
    RowBox[{"constr", ",", 
     RowBox[{"{", 
      RowBox[{"x", ",", "0", ",", "10"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"y", ",", "0", ",", "10"}], "}"}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", "orange", "}"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"objplot", "=", 
   RowBox[{"DensityPlot", "[", 
    RowBox[{
     RowBox[{"c", ".", 
      RowBox[{"{", 
       RowBox[{"x", ",", "y"}], "}"}]}], ",", 
     RowBox[{"{", 
      RowBox[{"x", ",", "0", ",", "10"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"y", ",", "0", ",", "10"}], "}"}], ",", 
     RowBox[{"PlotLegends", "\[Rule]", "Automatic"}]}], "]"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{"Show", "[", 
  RowBox[{"objplot", ",", "region", ",", 
   RowBox[{"Graphics", "[", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"PointSize", "\[Rule]", "Large"}], ",", 
      RowBox[{"Point", "[", "sol", "]"}]}], "}"}], "]"}]}], "]"}]}], "Input",
 CellChangeTimes->{{3.7106686516583896`*^9, 3.7106688134601192`*^9}, {
   3.7106688435937033`*^9, 3.7106689656084976`*^9}, 
   3.710669145464137*^9},ExpressionUUID->"db239572-c8ea-4a8e-9102-\
1c0616dab4e7"],

Cell[BoxData[
 TemplateBox[{GraphicsBox[{
     GraphicsComplexBox[CompressedData["
1:eJx1lk2O1DAQhRsWWbGxFEVCioQC5hzt7Ww5AhLLhrtwBs4w3IAjsBnWHMES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      "], {{{
         EdgeForm[], 
         GrayLevel[0.8], 
         GraphicsGroupBox[{
           PolygonBox[CompressedData["
1:eJwBCQX2+iFib1JiAgAAAKgBAAADAAAA4gIRFQUGEgIDEwMEFgYHFwcIGgoL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            "]]}]}, {}, {}, {}, {}}}, VertexColors -> CompressedData["
1:eJzdmAdUVNcWhjFGJYIiRjEiUhR5iBrQKEZEf1Ri4WksoAYsGEEFGyq2oBIF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       "]], 
     GraphicsComplexBox[CompressedData["
1:eJx1lXtMW1Ucx9sOOgrcVnEzuEZc4xI6MUER2IIZ98QyUeaWlhiWBdONKRop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      "], {{{
         EdgeForm[], 
         Directive[
          RGBColor[0.368417, 0.506779, 0.709798], 
          AbsoluteThickness[1.6], 
          Opacity[1]], 
         GraphicsGroupBox[{
           PolygonBox[CompressedData["
1:eJwNw2dz0gAAAFDKTEgIJAQSyIAMMiAJK0DLJjQUCl3UOk9P0dazraLVarW2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            "]], 
           
           PolygonBox[{{130, 89, 50, 60}, {134, 135, 67, 42}, {93, 136, 56, 
            54}, {131, 90, 51, 61}, {133, 92, 68, 67}, {100, 145, 76, 77}, {
            124, 144, 74, 52}, {121, 122, 62, 51}, {132, 91, 52, 62}, {118, 
            119, 61, 50}, {94, 137, 64, 55}, {139, 140, 70, 46}, {138, 95, 71,
             70}, {112, 113, 59, 48}, {115, 116, 60, 49}, {104, 148, 77, 
            53}, {147, 146, 46, 76}, {127, 86, 47, 57}, {128, 87, 48, 58}, {
            109, 110, 58, 47}, {92, 99, 63, 68}, {105, 104, 53, 63}, {129, 88,
             49, 59}, {95, 103, 65, 71}, {152, 151, 55, 65}, {150, 149, 54, 
            64}, {97, 141, 73, 74}, {143, 142, 42, 
            73}}]}]}, {}, {}, {}, {}}, {{
         Directive[
          RGBColor[0.368417, 0.506779, 0.709798], 
          AbsoluteThickness[1.6]], 
         LineBox[{2, 1, 7, 13, 19, 25, 31, 37, 43, 56, 84, 136, 93, 125, 149, 
          150, 101, 137, 94, 126, 151, 152, 102, 103, 95, 138, 140, 139, 85, 
          107, 146, 147, 145, 100, 148, 104, 105, 98, 99, 92, 133, 135, 134, 
          83, 106, 142, 143, 141, 97, 144, 124, 123, 91, 132, 82, 122, 121, 
          120, 90, 131, 81, 119, 118, 117, 89, 130, 80, 116, 115, 114, 88, 
          129, 79, 113, 112, 111, 87, 128, 78, 110, 109, 108, 86, 127, 96, 57,
           6, 5, 4, 3, 2}]}}}], {PointSize -> Large, 
      PointBox[{3, 3}]}}, {
    DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, 
     AxesOrigin -> {0., 0.}, 
     FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, 
     GridLines -> {None, None}, AxesLabel -> {None, None}, 
     FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> Identity, 
     AspectRatio -> 1, AxesLabel -> {None, None}, DisplayFunction :> Identity,
      Frame -> True, FrameLabel -> {{None, None}, {None, None}}, 
     FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, 
     GridLinesStyle -> Directive[
       GrayLevel[0.5, 0.4]], 
     Method -> {
      "DefaultBoundaryStyle" -> Automatic, "DefaultPlotStyle" -> Automatic, 
       "GridLinesInFront" -> True}, PlotRange -> {{0, 10}, {0, 10}}, 
     PlotRangeClipping -> True, PlotRangePadding -> {{
        Scaled[0.02], 
        Scaled[0.02]}, {
        Scaled[0.02], 
        Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}],FormBox[
    FormBox[
     TemplateBox[{
       FormBox[
        StyleBox[
         StyleBox[
          PaneBox[
           GraphicsBox[{{}, {}, 
             RasterBox[CompressedData["
1:eJxFlwmcjvUWxyV3YmZsZbtJ9i1q7q2spR9ZrrJUuLYUQiEx1iRRdmNwiySk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              "], {{
                Rational[-15, 2], 
                Rational[-225, 2]}, {
                Rational[15, 2], 
                Rational[225, 2]}}], {Antialiasing -> False, 
              AbsoluteThickness[0.1], 
              Directive[
               Opacity[0.3], 
               GrayLevel[0]], 
              LineBox[
               NCache[{{
                  Rational[15, 2], 
                  Rational[-225, 2]}, {
                  Rational[-15, 2], 
                  Rational[-225, 2]}, {
                  Rational[-15, 2], 
                  Rational[225, 2]}, {
                  Rational[15, 2], 
                  Rational[225, 2]}, {
                  Rational[15, 2], 
                  Rational[-225, 2]}}, {{7.5, -112.5}, {-7.5, -112.5}, {-7.5, 
                112.5}, {7.5, 112.5}, {7.5, -112.5}}]]}, {
              CapForm[None], {}}, {Antialiasing -> False, 
              StyleBox[
               LineBox[{{7.5, -112.5}, {7.5, 112.5}}], 
               Directive[
                AbsoluteThickness[0.2], 
                Opacity[0.3], 
                GrayLevel[0]], StripOnInput -> False], 
              StyleBox[
               StyleBox[{{
                  StyleBox[
                   LineBox[{{{7.5, -80.35714285714286}, 
                    Offset[{4., 0}, {7.5, -80.35714285714286}]}, {{
                    7.5, -16.07142857142857}, 
                    Offset[{4., 0}, {7.5, -16.07142857142857}]}, {{7.5, 
                    48.214285714285715`}, 
                    Offset[{4., 0}, {7.5, 48.214285714285715`}]}, {{7.5, 
                    112.5}, 
                    Offset[{4., 0}, {7.5, 112.5}]}}], 
                   Directive[
                    AbsoluteThickness[0.2], 
                    GrayLevel[0.4]], StripOnInput -> False], 
                  StyleBox[
                   LineBox[{{{7.5, -112.5}, 
                    Offset[{2.5, 0.}, {7.5, -112.5}]}, {{
                    7.5, -96.42857142857143}, 
                    Offset[{2.5, 0.}, {7.5, -96.42857142857143}]}, {{
                    7.5, -64.28571428571428}, 
                    Offset[{2.5, 0.}, {7.5, -64.28571428571428}]}, {{
                    7.5, -48.214285714285715`}, 
                    Offset[{2.5, 0.}, {7.5, -48.214285714285715`}]}, {{
                    7.5, -32.14285714285714}, 
                    Offset[{2.5, 0.}, {7.5, -32.14285714285714}]}, {{7.5, 0.}, 
                    Offset[{2.5, 0.}, {7.5, 0.}]}, {{7.5, 16.07142857142857}, 
                    Offset[{2.5, 0.}, {7.5, 16.07142857142857}]}, {{7.5, 
                    32.14285714285714}, 
                    Offset[{2.5, 0.}, {7.5, 32.14285714285714}]}, {{7.5, 
                    64.28571428571428}, 
                    Offset[{2.5, 0.}, {7.5, 64.28571428571428}]}, {{7.5, 
                    80.35714285714286}, 
                    Offset[{2.5, 0.}, {7.5, 80.35714285714286}]}, {{7.5, 
                    96.42857142857143}, 
                    Offset[{2.5, 0.}, {7.5, 96.42857142857143}]}}], 
                   Directive[
                    AbsoluteThickness[0.2], 
                    GrayLevel[0.4], 
                    Opacity[0.3]], StripOnInput -> False]}, 
                 StyleBox[
                  StyleBox[{{
                    StyleBox[{
                    InsetBox[
                    FormBox[
                    RowBox[{"-", "60"}], TraditionalForm], 
                    Offset[{7., 0.}, {7.5, -80.35714285714286}], {-1, 0.}, 
                    Automatic, {1, 0}], 
                    InsetBox[
                    FormBox[
                    RowBox[{"-", "40"}], TraditionalForm], 
                    Offset[{7., 0.}, {7.5, -16.07142857142857}], {-1, 0.}, 
                    Automatic, {1, 0}], 
                    InsetBox[
                    FormBox[
                    RowBox[{"-", "20"}], TraditionalForm], 
                    Offset[{7., 0.}, {7.5, 48.214285714285715`}], {-1, 0.}, 
                    Automatic, {1, 0}], 
                    InsetBox[
                    FormBox["0", TraditionalForm], 
                    Offset[{7., 0.}, {7.5, 112.5}], {-1, 0.}, Automatic, {1, 
                    0}]}, 
                    Directive[
                    AbsoluteThickness[0.2], 
                    GrayLevel[0.4]], {
                    Directive[
                    Opacity[1]], 
                    Directive[
                    Opacity[1]]}, StripOnInput -> False], 
                    StyleBox[{{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}}, 
                    Directive[
                    AbsoluteThickness[0.2], 
                    GrayLevel[0.4], 
                    Opacity[0.3]], {
                    Directive[
                    Opacity[1]], 
                    Directive[
                    Opacity[1]]}, StripOnInput -> False]}, {}}, {
                    Directive[
                    Opacity[1]], 
                    Directive[
                    Opacity[1]]}, StripOnInput -> False], "GraphicsLabel", 
                  StripOnInput -> False]}, "GraphicsTicks", StripOnInput -> 
                False], 
               Directive[
                AbsoluteThickness[0.2], 
                Opacity[0.3], 
                GrayLevel[0]], StripOnInput -> False]}}, PlotRangePadding -> 
            Scaled[0.02], PlotRange -> All, Frame -> True, 
            FrameTicks -> {{False, False}, {True, False}}, FrameStyle -> 
            Opacity[0], FrameTicksStyle -> Opacity[0], 
            ImageSize -> {Automatic, 225}, BaseStyle -> {}], Alignment -> 
           Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}},
            ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> 
          False], {FontFamily -> "Arial"}, Background -> Automatic, 
         StripOnInput -> False], TraditionalForm]}, "BarLegend", 
      DisplayFunction -> (#& ), 
      InterpretationFunction :> (RowBox[{"BarLegend", "[", 
         RowBox[{
           RowBox[{"{", 
             RowBox[{
               RowBox[{
                 RowBox[{"Blend", "[", 
                   RowBox[{"\"M10DefaultDensityGradient\"", ",", "#1"}], 
                   "]"}], "&"}], ",", 
               RowBox[{"{", 
                 RowBox[{
                   RowBox[{"-", "70.`"}], ",", "0.`"}], "}"}]}], "}"}], ",", 
           RowBox[{"LabelStyle", "\[Rule]", 
             RowBox[{"{", "}"}]}], ",", 
           RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",", 
           RowBox[{"Charting`TickAnnotations", "\[Rule]", "None"}], ",", 
           RowBox[{"ScalingFunctions", "\[Rule]", 
             RowBox[{"{", 
               RowBox[{"Identity", ",", "Identity"}], "}"}]}], ",", 
           RowBox[{"Charting`TickSide", "\[Rule]", "Right"}], ",", 
           RowBox[{"ColorFunctionScaling", "\[Rule]", "True"}]}], "]"}]& )], 
     TraditionalForm], TraditionalForm]},
  "Legended",
  DisplayFunction->(GridBox[{{
      TagBox[
       ItemBox[
        PaneBox[
         TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, 
         BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], 
       "SkipImageSizeLevel"], 
      ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, 
    GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, 
    AutoDelete -> False, GridBoxItemSize -> Automatic, 
    BaselinePosition -> {1, 1}]& ),
  Editable->True,
  InterpretationFunction->(RowBox[{"Legended", "[", 
     RowBox[{#, ",", 
       RowBox[{"Placed", "[", 
         RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )]], "Output",
 CellChangeTimes->{3.7106689700617*^9, 3.7106690218202147`*^9, 
  3.710669148504324*^9},ExpressionUUID->"a34fbab4-3712-417a-bdab-\
d526031ae92f"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"f", "=", 
   RowBox[{
    RowBox[{"-", 
     RowBox[{"Cos", "[", "x", "]"}]}], "/", 
    RowBox[{"(", 
     RowBox[{
      RowBox[{"x", "^", "2"}], "+", "6"}], ")"}]}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{"Plot", "[", 
  RowBox[{"f", ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", 
     RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", 
   RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}], "Input",
 CellChangeTimes->{{3.710665697590053*^9, 3.7106656975940576`*^9}, {
  3.7106717625230036`*^9, 
  3.7106718227142115`*^9}},ExpressionUUID->"f3b3f1a8-2285-4836-848e-\
fb713442f04a"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[
      1.], LineBox[CompressedData["
1:eJw1m3k4lF/Yx+37kn0sYWbarIlQoXNKsiTZIlJKyJZEJCLbiJKsM5GS5Wdf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       "]]},
     Annotation[#, "Charting`Private`Tag$27042#1"]& ]}, {}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{All, All},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{
  3.7106718263080263`*^9},ExpressionUUID->"ecd91f2c-ddc5-4243-84f8-\
4c43a94cc1c4"]
}, Open  ]],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.7106656994188585`*^9, 
  3.7106656994228587`*^9}},ExpressionUUID->"5f127816-59f4-48f1-84ed-\
ad06785424e6"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.7106657024560146`*^9, 
  3.7106657081780663`*^9}},ExpressionUUID->"27f1c799-fd8f-4106-897e-\
ba237924e28a"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.7106657063477716`*^9, 
  3.7106657063777885`*^9}},ExpressionUUID->"2ffa3873-2a8b-453b-b228-\
1e25d377a937"]
},
WindowSize->{1280, 637},
WindowMargins->{{-8, Automatic}, {Automatic, -8}},
Magnification:>2. Inherited,
FrontEndVersion->"11.1 for Microsoft Windows (64-bit) (April 18, 2017)",
StyleDefinitions->"Default.nb"
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[CellGroupData[{
Cell[580, 22, 579, 15, 309, "Input", "ExpressionUUID" -> \
"d3627d42-d090-49a4-aca4-4e0876ab6992"],
Cell[CellGroupData[{
Cell[1184, 41, 292, 7, 44, "Print", "ExpressionUUID" -> \
"b78c3d78-d64e-4d4c-8165-c8189ce0697b"],
Cell[1479, 50, 290, 7, 44, "Print", "ExpressionUUID" -> \
"4179e405-9320-4869-9d5d-ca856a4fa6cb"],
Cell[1772, 59, 290, 7, 44, "Print", "ExpressionUUID" -> \
"4b9b1941-42e6-4521-acf8-3d27f70aaa15"],
Cell[2065, 68, 292, 7, 44, "Print", "ExpressionUUID" -> \
"725ce9b6-2b6d-4a5d-a491-4c85e836e7f9"],
Cell[2360, 77, 292, 7, 44, "Print", "ExpressionUUID" -> \
"2f3f11df-22a7-4fc0-9818-5bc34d25ab0b"],
Cell[2655, 86, 292, 7, 44, "Print", "ExpressionUUID" -> \
"c4bb563f-ef56-45a7-88a3-21a5b3b41775"],
Cell[2950, 95, 290, 7, 44, "Print", "ExpressionUUID" -> \
"5d509fd6-6a4f-483a-a4f2-e4b4c802e273"],
Cell[3243, 104, 292, 7, 44, "Print", "ExpressionUUID" -> \
"4b1ce6ba-4754-4f93-a355-790d61724d68"],
Cell[3538, 113, 290, 7, 44, "Print", "ExpressionUUID" -> \
"a5587905-2272-4866-946f-aa6eea1eb7ea"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[3877, 126, 439, 12, 206, "Input", "ExpressionUUID" -> \
"20b61977-17f2-4fdd-ae7b-0e0b5fc6e766"],
Cell[CellGroupData[{
Cell[4341, 142, 248, 7, 44, "Print", "ExpressionUUID" -> \
"3f2dfbfa-d0ea-477a-a72d-57ee1f0f8b68"],
Cell[4592, 151, 246, 7, 44, "Print", "ExpressionUUID" -> \
"ef35dce4-f5c9-4589-baad-4ddefcf1f91f"],
Cell[4841, 160, 248, 7, 44, "Print", "ExpressionUUID" -> \
"ba59d238-e733-4c4e-ab69-7f19ccd7831b"],
Cell[5092, 169, 248, 7, 44, "Print", "ExpressionUUID" -> \
"f2c4e752-0861-4370-861c-ad6797a9158d"],
Cell[5343, 178, 248, 7, 44, "Print", "ExpressionUUID" -> \
"d3d98bdf-c92a-4120-86b0-dafe1f7bfbfc"],
Cell[5594, 187, 246, 7, 44, "Print", "ExpressionUUID" -> \
"b326ee2b-b846-45bf-9acb-91782d91ca1b"],
Cell[5843, 196, 246, 7, 44, "Print", "ExpressionUUID" -> \
"8d38ebff-dba0-4c04-8ec1-8ee298309488"],
Cell[6092, 205, 248, 7, 44, "Print", "ExpressionUUID" -> \
"6c81ee32-cd3c-41a8-9520-80b6e9abd68b"],
Cell[6343, 214, 248, 7, 44, "Print", "ExpressionUUID" -> \
"c49fb9c5-75aa-4c4e-8cf7-533d8e1f57d3"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[6640, 227, 941, 26, 245, "Input", "ExpressionUUID" -> \
"db02bcb5-0608-49c9-b90d-d67fdf368589"],
Cell[7584, 255, 31045, 529, 501, "Output", "ExpressionUUID" -> \
"6ec8b0d2-6ea4-4287-8774-687e75a2fa97"]
}, Open  ]],
Cell[CellGroupData[{
Cell[38666, 789, 1627, 44, 274, "Input", "ExpressionUUID" -> \
"b89a1380-73e4-4faa-a8fc-6e17bc0d8788"],
Cell[40296, 835, 235525, 3837, 546, "Output", "ExpressionUUID" -> \
"f5f5fdcb-c093-4245-99b5-4408d5d7bd88"]
}, Open  ]],
Cell[CellGroupData[{
Cell[275858, 4677, 485, 14, 130, "Input", "ExpressionUUID" -> \
"397face9-e003-4177-903e-de82b51be14f"],
Cell[276346, 4693, 362, 11, 86, "Output", "ExpressionUUID" -> \
"f2946b80-2a31-442e-aed4-d64643f37d35"]
}, Open  ]],
Cell[CellGroupData[{
Cell[276745, 4709, 923, 27, 279, InheritFromParent, "ExpressionUUID" -> \
"748a1ca4-6faf-4e1a-b315-e4bfca83f308"],
Cell[277671, 4738, 390, 11, 86, "Output", "ExpressionUUID" -> \
"f999b92a-2cf1-4089-b5c9-9b23854ed3bd"],
Cell[278064, 4751, 418, 12, 86, "Output", "ExpressionUUID" -> \
"94dd38cc-8653-41d3-bd33-fdd82b26e03b"]
}, Open  ]],
Cell[CellGroupData[{
Cell[278519, 4768, 696, 20, 290, InheritFromParent, "ExpressionUUID" -> \
"716e1997-4b1d-4623-9371-ce8ce42d2aa6"],
Cell[279218, 4790, 394, 12, 86, "Output", "ExpressionUUID" -> \
"282baf81-b11e-40ba-ac7f-2e2c3919e335"]
}, Open  ]],
Cell[CellGroupData[{
Cell[279649, 4807, 756, 19, 319, "Input", "ExpressionUUID" -> \
"1b48dba7-6ac5-47d2-99e6-b76ca174d33d"],
Cell[280408, 4828, 590, 15, 86, "Output", "ExpressionUUID" -> \
"4ccec7e5-6b51-4ab0-ab83-bde65dee0e2f"],
Cell[281001, 4845, 888, 23, 146, "Output", "ExpressionUUID" -> \
"8f15c34d-5150-43e1-9bf0-b8f4c971dbb0"]
}, Open  ]],
Cell[CellGroupData[{
Cell[281926, 4873, 1575, 33, 399, "Input", "ExpressionUUID" -> \
"638ecb8d-4511-419b-9845-c22d8911c188"],
Cell[283504, 4908, 154, 3, 86, "Output", "ExpressionUUID" -> \
"47de8277-cb67-4fee-9e6a-01c9fdc7d15f"],
Cell[283661, 4913, 288, 8, 120, "Output", "ExpressionUUID" -> \
"8b47347b-6bec-4cb7-8fb9-ba397712a9e2"]
}, Open  ]],
Cell[CellGroupData[{
Cell[283986, 4926, 384, 12, 116, "Input", "ExpressionUUID" -> \
"90b34eee-0193-4ad5-87fd-08c3758d3fee"],
Cell[284373, 4940, 259, 7, 86, "Output", "ExpressionUUID" -> \
"1c3eb4b6-db7c-4efa-b4af-ae8f5d2f81cd"]
}, Open  ]],
Cell[284647, 4950, 179, 3, 61, "Input", "ExpressionUUID" -> \
"9226ecf4-c196-46ff-a6aa-ab8127dbf0d9"],
Cell[CellGroupData[{
Cell[284851, 4957, 602, 17, 116, InheritFromParent, "ExpressionUUID" -> \
"0c4fd4ca-8c55-4699-af57-bc7f50f68989"],
Cell[285456, 4976, 7064, 137, 488, "Output", "ExpressionUUID" -> \
"a7755171-8d85-44f7-922e-526d1249874d"]
}, Open  ]],
Cell[CellGroupData[{
Cell[292557, 5118, 1163, 34, 305, InheritFromParent, "ExpressionUUID" -> \
"2aae6eba-ac6e-45d2-abab-40f76cdda861"],
Cell[293723, 5154, 299, 7, 86, "Output", "ExpressionUUID" -> \
"1be7954c-f0f7-4fdd-b94d-f2c4ac472b01"]
}, Open  ]],
Cell[294037, 5164, 146, 2, 61, "Input", "ExpressionUUID" -> \
"1158ce02-28f5-4ee7-9461-7bcf908fc482"],
Cell[294186, 5168, 156, 3, 61, InheritFromParent, "ExpressionUUID" -> \
"e4445203-7401-451b-b5ca-7f397a3848ac"],
Cell[CellGroupData[{
Cell[294367, 5175, 1589, 45, 332, "Input", "ExpressionUUID" -> \
"db239572-c8ea-4a8e-9102-1c0616dab4e7"],
Cell[295959, 5222, 22762, 431, 778, "Output", "ExpressionUUID" -> \
"a34fbab4-3712-417a-bdab-d526031ae92f"]
}, Open  ]],
Cell[CellGroupData[{
Cell[318758, 5658, 621, 19, 188, InheritFromParent, "ExpressionUUID" -> \
"f3b3f1a8-2285-4836-848e-fb713442f04a"],
Cell[319382, 5679, 22649, 391, 500, "Output", "ExpressionUUID" -> \
"ecd91f2c-ddc5-4243-84f8-4c43a94cc1c4"]
}, Open  ]],
Cell[342046, 6073, 156, 3, 61, InheritFromParent, "ExpressionUUID" -> \
"5f127816-59f4-48f1-84ed-ad06785424e6"],
Cell[342205, 6078, 156, 3, 61, InheritFromParent, "ExpressionUUID" -> \
"27f1c799-fd8f-4106-897e-ba237924e28a"],
Cell[342364, 6083, 156, 3, 61, InheritFromParent, "ExpressionUUID" -> \
"2ffa3873-2a8b-453b-b228-1e25d377a937"]
}
]
*)