(* Content-type: application/mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 6.0' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       145,          7]
NotebookDataLength[    216000,       4195]
NotebookOptionsPosition[    201997,       3931]
NotebookOutlinePosition[    202431,       3948]
CellTagsIndexPosition[    202388,       3945]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{
Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJzsnQdgFNX2/zcdEBXh2duzPP9Pn70XkuzOtiQQAkgRREXF9iwoiKI+6ZBs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    "], {{0, 178}, {1256, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSize->{429.79999999999995`, Automatic},
  ImageSizeRaw->{1256, 178},
  PlotRange->{{0, 1256}, {0, 178}}]], "Title",
 CellChangeTimes->{{3.7461737167475877`*^9, 3.7461737263572493`*^9}, {
  3.7461739935184097`*^9, 
  3.7461740677280855`*^9}},ExpressionUUID->"d8cd49f9-1514-4c6b-a16d-\
5310ee3f95cf"],

Cell[TextData[StyleBox["Pr\[AAcute]ce s vektory a maticemi",
 Background->RGBColor[0, 1, 1]]], "Title",
 CellChangeTimes->{{3.4274539111282525`*^9, 3.4274539465032525`*^9}, {
   3.427506972953125*^9, 3.4275070679375*^9}, {3.42751317775*^9, 
   3.427513184265625*^9}, 3.42751332775*^9, {3.430738763765625*^9, 
   3.430738790109375*^9}, {3.43073894471875*^9, 3.430738947453125*^9}, {
   3.430739132140625*^9, 3.43073913565625*^9}, {3.4308000475783014`*^9, 
   3.4308000499845824`*^9}, {3.735543241985775*^9, 3.735543261938303*^9}, 
   3.735897674111104*^9, {3.7434075933061247`*^9, 3.7434076298259583`*^9}, {
   3.752341231772928*^9, 3.752341235764426*^9}, {3.7554486984291058`*^9, 
   3.7554487034758797`*^9}},
 Background->RGBColor[
  0, 1, 1],ExpressionUUID->"02aa6fc0-b4fc-4896-bf06-6c0482c52b11"],

Cell["\<\
Lenka H\[AAcute]kov\[AAcute]
\[CapitalUAcute]stav matematiky V\[CapitalSHacek]CHT Praha\
\>", "Subtitle",
 CellChangeTimes->{{3.43073937909375*^9, 3.43073945603125*^9}, {
  3.430739535109375*^9, 3.43073954046875*^9}, {3.752341239916465*^9, 
  3.752341241356307*^9}},
 Background->RGBColor[
  0, 1, 1],ExpressionUUID->"c60072f4-090c-46aa-99b2-a7bbd197e1fb"],

Cell[CellGroupData[{

Cell["\<\

Vektory\
\>", "Section",
 CellChangeTimes->{{3.427506934046875*^9, 3.42750696009375*^9}, {
  3.735543278302808*^9, 3.7355432824680347`*^9}, {3.7434076395916214`*^9, 
  3.7434076568609324`*^9}, {3.752341305988867*^9, 3.752341338508746*^9}, {
  3.755449007571602*^9, 3.755449008330915*^9}, {3.755584188596076*^9, 
  3.755584190419791*^9}, {3.755584250867732*^9, 3.75558425554766*^9}, {
  3.7555849145788383`*^9, 3.755584916914369*^9}},
 FontSize->24,ExpressionUUID->"c20d905c-b443-44c3-aede-8b0ab3b8cd2e"],

Cell[CellGroupData[{

Cell["Datov\[YAcute] typ seznam (list), manipulace se seznamy", "Text",
 CellGroupingRules->{GroupTogetherGrouping, 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, 3.43070847346875*^9, {
   3.7355431080745163`*^9, 3.73554311638937*^9}, {3.735543349767866*^9, 
   3.735543350719472*^9}, {3.7434076759554543`*^9, 3.7434076914307537`*^9}, {
   3.743407735033033*^9, 3.7434077758282948`*^9}, {3.7434078105073166`*^9, 
   3.7434078495855675`*^9}, {3.7540686391191483`*^9, 3.754068743902378*^9}, {
   3.754069935260605*^9, 3.754069941444293*^9}, {3.7555841992039547`*^9, 
   3.755584200027927*^9}, {3.755584261019726*^9, 3.755584266667598*^9}, {
   3.755587114126843*^9, 3.755587119447443*^9}},
 FontSize->18,
 FontColor->GrayLevel[0],
 Background->RGBColor[
  0, 1, 1],ExpressionUUID->"4336eb23-6f85-4e87-962d-eb148ec8e2df"],

Cell[CellGroupData[{

Cell["\<\
Seznam je uspo\[RHacek]\[AAcute]dan\[AAcute] n-tice symbol\[URing].
l[[i]] - i-t\[YAcute] prvek seznamu l
First[l] - prvn\[IAcute] prvek seznamu l
Last[l] - posledn\[IAcute] prvek seznamu l
Lenght[l] - d\[EAcute]lka seznamu l
Table[f, {i, imin, imax}] - vygenerov\[AAcute]n\[IAcute] seznamu pomoc\
\[IAcute] funkce f\
\>", "Text",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, {3.430707302328125*^9, 
   3.4307073135625*^9}, {3.430707349046875*^9, 3.430707355390625*^9}, 
   3.430708585984375*^9, {3.430709160453125*^9, 3.430709171625*^9}, {
   3.430709213109375*^9, 3.4307092233125*^9}, {3.43073202221875*^9, 
   3.43073203440625*^9}, 3.430814505586162*^9, {3.735543424804347*^9, 
   3.735543469593234*^9}, {3.735967713879491*^9, 3.7359677213831387`*^9}, {
   3.7434078836249857`*^9, 3.743407917383602*^9}, {3.7434085899839134`*^9, 
   3.7434087023212337`*^9}, {3.7434088294776487`*^9, 
   3.7434088828455915`*^9}, {3.743408940089163*^9, 3.7434089664543324`*^9}, {
   3.7540687126427526`*^9, 3.75406872021809*^9}, {3.755584204235734*^9, 
   3.755584204955789*^9}, {3.755584884426488*^9, 3.755584980098139*^9}, {
   3.7555855530730743`*^9, 3.755585556721348*^9}, {3.7555855970574417`*^9, 
   3.755585619288843*^9}, {3.755585767025135*^9, 3.755585831705297*^9}, {
   3.755585921200995*^9, 3.755585924257111*^9}, {3.7570902459154787`*^9, 
   3.757090304235214*^9}, {3.759562764902644*^9, 3.759562777030897*^9}},
 FontSize->16,
 Background->RGBColor[
  1, 1, 0],ExpressionUUID->"7083718a-652b-4ae7-bb55-f5731eb18926"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"list1", "=", 
  RowBox[{"{", 
   RowBox[{"4", ",", "0", ",", "1"}], "}"}]}]], "Input",
 CellChangeTimes->{{3.755584943965934*^9, 3.75558495551049*^9}, {
   3.755585569900907*^9, 3.755585572937709*^9}, {3.755585631373083*^9, 
   3.755585633834181*^9}, 3.755585853804003*^9, 3.7555859496172*^9},
 CellLabel->"In[4]:=",ExpressionUUID->"15101f0d-c9bd-4eb4-91d0-82bb0e716eb4"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"4", ",", "0", ",", "1"}], "}"}]], "Output",
 CellChangeTimes->{3.7555859500125732`*^9, 3.757090740712682*^9, 
  3.759562797505312*^9},
 CellLabel->"Out[4]=",ExpressionUUID->"4309b4c4-fda0-4cd3-bd53-bb661cebc53d"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"list1", "[", 
  RowBox[{"[", "1", "]"}], "]"}]], "Input",
 CellChangeTimes->{{3.755585532267136*^9, 3.755585543383564*^9}, 
   3.7555856360384283`*^9, 3.755585855573576*^9},
 CellLabel->"In[5]:=",ExpressionUUID->"391889e8-30fe-46c0-a204-e16ae3bc4d79"],

Cell[BoxData["4"], "Output",
 CellChangeTimes->{{3.755585539692512*^9, 3.755585543794258*^9}, 
   3.755585574486607*^9, 3.7555856364237127`*^9, 3.755585951159772*^9, 
   3.7595627989845257`*^9},
 CellLabel->"Out[5]=",ExpressionUUID->"99d81736-4856-46a8-bec2-15ba4e97a5f3"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Length", "[", "list1", "]"}]], "Input",
 CellChangeTimes->{{3.755585622130869*^9, 3.7555856385687437`*^9}, 
   3.755585856834735*^9},
 CellLabel->"In[6]:=",ExpressionUUID->"011f0c40-b7a5-4c42-827e-52c475894c1a"],

Cell[BoxData["3"], "Output",
 CellChangeTimes->{3.755585841893812*^9, 3.755585958138884*^9, 
  3.759562800680573*^9},
 CellLabel->"Out[6]=",ExpressionUUID->"8aec57e3-c936-43a1-89f5-a3a8508774ef"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Last", "[", "list1", "]"}]], "Input",
 CellChangeTimes->{{3.755585835993552*^9, 3.7555858580828857`*^9}},
 CellLabel->"In[7]:=",ExpressionUUID->"5819265d-7b0f-4cea-aa43-5312476dd64f"],

Cell[BoxData["1"], "Output",
 CellChangeTimes->{3.7555858447372913`*^9, 3.7555859593129272`*^9, 
  3.759562802181759*^9},
 CellLabel->"Out[7]=",ExpressionUUID->"dc0ea71c-8be8-4075-ba7d-f43252333494"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"list2", "=", 
  RowBox[{"Table", "[", 
   RowBox[{
    RowBox[{"i", "^", "2"}], ",", 
    RowBox[{"{", 
     RowBox[{"i", ",", "1", ",", "5"}], "}"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.7555858479947653`*^9, 3.755585883873323*^9}, {
  3.755585928595977*^9, 3.7555859303373823`*^9}},
 CellLabel->"In[8]:=",ExpressionUUID->"75724111-1c29-4985-aa60-8f253234ec41"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"1", ",", "4", ",", "9", ",", "16", ",", "25"}], "}"}]], "Output",
 CellChangeTimes->{{3.7555858847722187`*^9, 3.755585888888804*^9}, {
   3.755585931128776*^9, 3.7555859604720707`*^9}, 3.757090744905966*^9, 
   3.759562803430777*^9},
 CellLabel->"Out[8]=",ExpressionUUID->"e7938e8c-1ad2-4dd1-9a6e-d10bb7d5fac2"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["\<\
Drop[l,n] - zahod\[IAcute] n prvk\[URing] ze za\[CHacek]\[AAcute]tku seznamu l
Position[l,x] - vr\[AAcute]t\[IAcute] pozici zadan\[EAcute]ho prvku x v \
seznamu l
Count[l,x] - spo\[CHacek]\[IAcute]t\[AAcute] v\[YAcute]skyt zadan\[EAcute]ho \
prvku x v seznamu l
Select[l,podminka] - vr\[AAcute]t\[IAcute] prvky seznamu l spl\[NHacek]uj\
\[IAcute]c\[IAcute] zadanou logickou podm\[IAcute]nku (# pro prvek seznamu a \
zakon\[CHacek]\[IAcute]me &)
Prepend[l], Append[l] - p\[RHacek]id\[AAcute] na za\[CHacek]\[AAcute]tek \
(konec) seznamu l zadan\[YAcute] prvek
ListQ[l] - logick\[AAcute] funkce ov\[EHacek]\[RHacek]uj\[IAcute]c\[IAcute], \
zda je l seznam
MemberQ[l, x] - logick\[AAcute] funkce ov\[EHacek]\[RHacek]uj\[IAcute]c\
\[IAcute], zda je prvek x v seznamu l \
\>", "Text",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, {3.430707302328125*^9, 
   3.4307073135625*^9}, {3.430707349046875*^9, 3.430707355390625*^9}, 
   3.430708585984375*^9, {3.430709160453125*^9, 3.430709171625*^9}, {
   3.430709213109375*^9, 3.4307092233125*^9}, {3.43073202221875*^9, 
   3.43073203440625*^9}, 3.430814505586162*^9, {3.735543424804347*^9, 
   3.735543469593234*^9}, {3.735967713879491*^9, 3.7359677213831387`*^9}, {
   3.7434078836249857`*^9, 3.743407917383602*^9}, {3.7434085899839134`*^9, 
   3.7434087023212337`*^9}, {3.7434088294776487`*^9, 
   3.7434088828455915`*^9}, {3.743408940089163*^9, 3.7434089664543324`*^9}, {
   3.7540687126427526`*^9, 3.75406872021809*^9}, {3.755584204235734*^9, 
   3.755584204955789*^9}, {3.755584884426488*^9, 3.755584980098139*^9}, {
   3.7555855530730743`*^9, 3.755585556721348*^9}, {3.7555855970574417`*^9, 
   3.755585619288843*^9}, {3.7555857014250813`*^9, 3.755585719760551*^9}, {
   3.755585940624281*^9, 3.755585942024787*^9}, {3.755586020112185*^9, 
   3.7555861945450277`*^9}, {3.755586292219281*^9, 3.755586349424951*^9}, {
   3.755586512784853*^9, 3.7555865192970343`*^9}, {3.755586649785334*^9, 
   3.755586652785039*^9}, {3.755586692712872*^9, 3.755586703088552*^9}, {
   3.755586795945444*^9, 3.755586833177259*^9}, {3.755586979240921*^9, 
   3.755586991496718*^9}, {3.757090192947994*^9, 3.757090237619751*^9}, {
   3.7570903238746347`*^9, 3.757090369355186*^9}, {3.757090809339829*^9, 
   3.7570908115935783`*^9}, {3.757090862793796*^9, 3.757090880129856*^9}, {
   3.7570915057371693`*^9, 3.7570915393527813`*^9}},
 FontSize->16,
 Background->RGBColor[
  1, 1, 0],ExpressionUUID->"6ca9f22f-54b9-472d-82ad-85ed342c622c"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"list3", "=", 
  RowBox[{"{", 
   RowBox[{
   "8", ",", "5", ",", "3", ",", "10", ",", "6", ",", "5", ",", "7", ",", "5",
     ",", "3", ",", "8", ",", "1"}], "}"}]}]], "Input",
 CellChangeTimes->{{3.7555863555804243`*^9, 3.755586377376182*^9}, {
  3.7555864238006487`*^9, 3.755586484400098*^9}},
 CellLabel->"In[9]:=",ExpressionUUID->"207591fa-1f50-4559-ac45-23ab1baa055d"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "8", ",", "5", ",", "3", ",", "10", ",", "6", ",", "5", ",", "7", ",", "5", 
   ",", "3", ",", "8", ",", "1"}], "}"}]], "Output",
 CellChangeTimes->{3.755586489538588*^9, 3.7570904145070066`*^9, 
  3.759562806792584*^9},
 CellLabel->"Out[9]=",ExpressionUUID->"fd8d10eb-862f-40ff-b02b-73daa71c18a1"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Drop", "[", 
  RowBox[{"list3", ",", "2"}], "]"}]], "Input",
 CellChangeTimes->{{3.7555864661375837`*^9, 3.755586506068563*^9}},
 CellLabel->"In[10]:=",ExpressionUUID->"8e13f31c-8af0-4464-ba8f-1e92f8bea080"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "3", ",", "10", ",", "6", ",", "5", ",", "7", ",", "5", ",", "3", ",", "8", 
   ",", "1"}], "}"}]], "Output",
 CellChangeTimes->{3.755586506710738*^9, 3.759562808602824*^9},
 CellLabel->"Out[10]=",ExpressionUUID->"81a3f71f-b1cc-41cd-a872-bdcb4119b9b5"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Position", "[", 
  RowBox[{"list3", ",", "1"}], "]"}]], "Input",
 CellChangeTimes->{{3.755586522937936*^9, 3.755586533776657*^9}},
 CellLabel->"In[11]:=",ExpressionUUID->"935d79e7-7eb4-4b86-ad7f-3712cb038a40"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"{", "11", "}"}], "}"}]], "Output",
 CellChangeTimes->{3.755586534381811*^9, 3.75956281011462*^9},
 CellLabel->"Out[11]=",ExpressionUUID->"02c44ca2-6183-43b3-a7dd-1b5b7ec75f6d"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Count", "[", 
  RowBox[{"list3", ",", "5"}], "]"}]], "Input",
 CellChangeTimes->{{3.7555865383533697`*^9, 3.755586547760111*^9}},
 CellLabel->"In[12]:=",ExpressionUUID->"9366aae5-1eb2-433b-ad95-d5d3a1fe7a15"],

Cell[BoxData["3"], "Output",
 CellChangeTimes->{3.755586548298562*^9, 3.759562813885333*^9},
 CellLabel->"Out[12]=",ExpressionUUID->"860b8a0b-3173-4c04-8e4c-665a0390a0cb"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Select", "[", 
  RowBox[{"list3", ",", "OddQ"}], "]"}]], "Input",
 CellChangeTimes->{{3.755586551970059*^9, 3.755586554582954*^9}, {
  3.755586588191513*^9, 3.755586592511951*^9}, {3.7555866386285458`*^9, 
  3.755586689207859*^9}},
 CellLabel->"In[13]:=",ExpressionUUID->"d73935c5-41d8-4c12-b03a-c72db09bf0a0"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"5", ",", "3", ",", "5", ",", "7", ",", "5", ",", "3", ",", "1"}], 
  "}"}]], "Output",
 CellChangeTimes->{3.755586689971064*^9, 3.7595628151152*^9},
 CellLabel->"Out[13]=",ExpressionUUID->"b2d60088-9c28-4120-9599-93febeb5a0c5"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Select", "[", 
  RowBox[{"list3", ",", 
   RowBox[{
    RowBox[{"#", ">", "4"}], "&"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.755586760049687*^9, 3.75558677853703*^9}},
 CellLabel->"In[14]:=",ExpressionUUID->"38b05fda-6db9-4640-94ea-044216f6e120"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "8", ",", "5", ",", "10", ",", "6", ",", "5", ",", "7", ",", "5", ",", 
   "8"}], "}"}]], "Output",
 CellChangeTimes->{3.755586850135313*^9, 3.759562816212907*^9},
 CellLabel->"Out[14]=",ExpressionUUID->"e8cc94fe-6048-4723-9109-952e031587d2"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Prepend", "[", 
  RowBox[{"list3", ",", 
   RowBox[{"-", "1"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.7555868468082*^9, 3.7555869294955482`*^9}},
 CellLabel->"In[15]:=",ExpressionUUID->"27e4ac50-d298-482d-a445-8a5ea91ca220"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"-", "1"}], ",", "8", ",", "5", ",", "3", ",", "10", ",", "6", ",",
    "5", ",", "7", ",", "5", ",", "3", ",", "8", ",", "1"}], "}"}]], "Output",
 CellChangeTimes->{{3.755586881143461*^9, 3.755586930087854*^9}, 
   3.7595628178769207`*^9},
 CellLabel->"Out[15]=",ExpressionUUID->"517eca4b-b2ce-46ab-972c-8593a03c0184"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ListQ", "[", "list3", "]"}]], "Input",
 CellChangeTimes->{{3.757090887268918*^9, 3.7570908920168133`*^9}},
 CellLabel->"In[16]:=",ExpressionUUID->"de505de4-3b1d-474e-ac23-269131e37f91"],

Cell[BoxData["True"], "Output",
 CellChangeTimes->{3.757090893025947*^9, 3.759562819855762*^9},
 CellLabel->"Out[16]=",ExpressionUUID->"9bf1d6b8-0aa6-4435-b478-7508f371ba49"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"MemberQ", "[", 
  RowBox[{"list3", ",", "5"}], "]"}]], "Input",
 CellChangeTimes->{{3.757090378973548*^9, 3.757090390426487*^9}},
 CellLabel->"In[17]:=",ExpressionUUID->"5c28184b-16b5-4ce5-ab00-8921fb78bb39"],

Cell[BoxData["True"], "Output",
 CellChangeTimes->{{3.757090392408505*^9, 3.757090417114398*^9}, 
   3.7595628209271393`*^9},
 CellLabel->"Out[17]=",ExpressionUUID->"7284fbff-396c-4256-bc24-011766028aae"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["\<\
Sort[l] - se\[RHacek]ad\[IAcute] prvky v seznamu l
Union[l] - se\[RHacek]ad\[IAcute] prvky v seznamu l, vynech\[AAcute] opakov\
\[AAcute]n\[IAcute]
Reverse[l] - obr\[AAcute]t\[IAcute] po\[RHacek]ad\[IAcute] prvk\[URing]
Join[l1,l2,..] - z\[RHacek]et\[EHacek]z\[IAcute] n\[EHacek]kolik seznam\
\[URing] do jednoho
Union[l1,l2,..] - z\[RHacek]et\[EHacek]z\[IAcute] n\[EHacek]kolik seznam\
\[URing] do jednoho, vynech\[AAcute] opakov\[AAcute]n\[IAcute], se\[RHacek]ad\
\[IAcute] v\[YAcute]sledek\
\>", "Text",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, {3.430707302328125*^9, 
   3.4307073135625*^9}, {3.430707349046875*^9, 3.430707355390625*^9}, 
   3.430708585984375*^9, {3.430709160453125*^9, 3.430709171625*^9}, {
   3.430709213109375*^9, 3.4307092233125*^9}, {3.43073202221875*^9, 
   3.43073203440625*^9}, 3.430814505586162*^9, {3.735543424804347*^9, 
   3.735543469593234*^9}, {3.735967713879491*^9, 3.7359677213831387`*^9}, {
   3.7434078836249857`*^9, 3.743407917383602*^9}, {3.7434085899839134`*^9, 
   3.7434087023212337`*^9}, {3.7434088294776487`*^9, 
   3.7434088828455915`*^9}, {3.743408940089163*^9, 3.7434089664543324`*^9}, {
   3.7540687126427526`*^9, 3.75406872021809*^9}, {3.755584204235734*^9, 
   3.755584204955789*^9}, {3.755584884426488*^9, 3.755584980098139*^9}, {
   3.7555855530730743`*^9, 3.755585556721348*^9}, {3.7555855970574417`*^9, 
   3.755585619288843*^9}, {3.7555857014250813`*^9, 3.755585719760551*^9}, {
   3.755585940624281*^9, 3.755585942024787*^9}, {3.755586020112185*^9, 
   3.7555861945450277`*^9}, {3.755586292219281*^9, 3.755586349424951*^9}, {
   3.755586512784853*^9, 3.7555865192970343`*^9}, {3.755586649785334*^9, 
   3.755586652785039*^9}, {3.755586692712872*^9, 3.755586703088552*^9}, {
   3.755586795945444*^9, 3.755586833177259*^9}, {3.755586979240921*^9, 
   3.7555870088756733`*^9}, {3.757090452969399*^9, 3.757090481946206*^9}},
 FontSize->16,
 Background->RGBColor[
  1, 1, 0],ExpressionUUID->"3173b187-3b61-4efb-a401-15d25d229de3"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"list4", "=", 
  RowBox[{"Sort", "[", "list3", "]"}]}]], "Input",
 CellChangeTimes->{{3.755586995298616*^9, 3.755587065415976*^9}, 
   3.759562831665833*^9, 
   3.759562864450508*^9},ExpressionUUID->"662c4d2b-0d25-4de3-8f28-\
b1071237e94f"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "1", ",", "3", ",", "3", ",", "5", ",", "5", ",", "5", ",", "6", ",", "7", 
   ",", "8", ",", "8", ",", "10"}], "}"}]], "Output",
 CellChangeTimes->{{3.75558702004685*^9, 3.755587066488014*^9}, 
   3.7595627922536077`*^9, 3.7595628333064947`*^9},
 CellLabel->"Out[18]=",ExpressionUUID->"9bcbbda6-067a-4f3e-be3e-3df921899eff"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"list5", "=", 
  RowBox[{"Union", "[", "list3", "]"}]}]], "Input",
 CellChangeTimes->{{3.759562838399873*^9, 
  3.7595628414757853`*^9}},ExpressionUUID->"9f637afb-9992-4d94-ab67-\
e5a30239b0ad"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"1", ",", "3", ",", "5", ",", "6", ",", "7", ",", "8", ",", "10"}], 
  "}"}]], "Output",
 CellChangeTimes->{3.759562839557418*^9},
 CellLabel->"Out[19]=",ExpressionUUID->"ff2be60d-e956-4d12-8958-e0ae7aec8ee0"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"list6", "=", 
  RowBox[{"Reverse", "[", "list3", "]"}]}]], "Input",
 CellLabel->"In[20]:=",ExpressionUUID->"3bbe25d1-d14e-4117-b640-97caefec80c7"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "1", ",", "8", ",", "3", ",", "5", ",", "7", ",", "5", ",", "6", ",", "10", 
   ",", "3", ",", "5", ",", "8"}], "}"}]], "Output",
 CellChangeTimes->{3.759562846671401*^9},
 CellLabel->"Out[20]=",ExpressionUUID->"de7b4ae2-47f8-4608-8dc7-6f0fd0699b14"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Join", "[", 
  RowBox[{"list4", ",", " ", "list5", ",", " ", "list6"}], "]"}]], "Input",
 CellChangeTimes->{{3.755587070905403*^9, 3.755587077951396*^9}},
 CellLabel->"In[21]:=",ExpressionUUID->"be7914e4-a0ab-44f3-a93e-f08fdf9edcb6"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "1", ",", "3", ",", "3", ",", "5", ",", "5", ",", "5", ",", "6", ",", "7", 
   ",", "8", ",", "8", ",", "10", ",", "1", ",", "3", ",", "5", ",", "6", ",",
    "7", ",", "8", ",", "10", ",", "1", ",", "8", ",", "3", ",", "5", ",", 
   "7", ",", "5", ",", "6", ",", "10", ",", "3", ",", "5", ",", "8"}], 
  "}"}]], "Output",
 CellChangeTimes->{3.755587079101132*^9, 3.759562849923519*^9},
 CellLabel->"Out[21]=",ExpressionUUID->"ba28a45d-f817-4aeb-81c7-a2aa54d09c15"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Union", "[", 
  RowBox[{"list4", ",", " ", "list5", ",", " ", "list6"}], "]"}]], "Input",
 CellChangeTimes->{{3.755587083080236*^9, 3.7555870929038773`*^9}},
 CellLabel->"In[22]:=",ExpressionUUID->"e59efc46-c887-4f86-b4be-ab1635da3d9c"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"1", ",", "3", ",", "5", ",", "6", ",", "7", ",", "8", ",", "10"}], 
  "}"}]], "Output",
 CellChangeTimes->{3.755587093714097*^9, 3.759562851934867*^9},
 CellLabel->"Out[22]=",ExpressionUUID->"42017c37-c8c1-4ec8-bd2b-e2554d77bdfb"]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Operace s vektory", "Text",
 CellGroupingRules->{GroupTogetherGrouping, 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, 3.43070847346875*^9, {
   3.7355431080745163`*^9, 3.73554311638937*^9}, {3.735543349767866*^9, 
   3.735543350719472*^9}, {3.7434076759554543`*^9, 3.7434076914307537`*^9}, {
   3.743407735033033*^9, 3.7434077758282948`*^9}, {3.7434078105073166`*^9, 
   3.7434078495855675`*^9}, {3.7540686391191483`*^9, 3.754068743902378*^9}, {
   3.754069935260605*^9, 3.754069941444293*^9}, {3.7555841992039547`*^9, 
   3.755584200027927*^9}, {3.755587246422989*^9, 3.755587249879631*^9}},
 FontSize->18,
 FontColor->GrayLevel[0],
 Background->RGBColor[
  0, 1, 1],ExpressionUUID->"9889e7ef-00f9-4ec4-ae7e-46df2e134b3c"],

Cell[CellGroupData[{

Cell["\<\
Vektory se zad\[AAcute]vaj\[IAcute] jako seznamy.
+, - - s\[CHacek]\[IAcute]t\[AAcute]n\[IAcute], \
od\[CHacek]\[IAcute]t\[AAcute]n\[IAcute]
u.v nebo Dot[u,v] - skal\[AAcute]rn\[IAcute] sou\[CHacek]in 
Cross[u,v] - vektorov\[YAcute] sou\[CHacek]in
Norm[u] - norma
Normalize[u] - jednotkov\[YAcute] vektor stejn\[EAcute]ho sm\[EHacek]ru
VectorAngle[u,v] - \[UAcute]hel dvou vektor\[URing]\
\>", "Text",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, {3.430707302328125*^9, 
   3.4307073135625*^9}, {3.430707349046875*^9, 3.430707355390625*^9}, 
   3.430708585984375*^9, {3.430709160453125*^9, 3.430709171625*^9}, {
   3.430709213109375*^9, 3.4307092233125*^9}, {3.43073202221875*^9, 
   3.43073203440625*^9}, 3.430814505586162*^9, {3.735543424804347*^9, 
   3.735543469593234*^9}, {3.735967713879491*^9, 3.7359677213831387`*^9}, {
   3.7434078836249857`*^9, 3.743407917383602*^9}, {3.7434085899839134`*^9, 
   3.7434087023212337`*^9}, {3.7434088294776487`*^9, 
   3.7434088828455915`*^9}, {3.743408940089163*^9, 3.7434089664543324`*^9}, {
   3.7540687126427526`*^9, 3.75406872021809*^9}, {3.755584204235734*^9, 
   3.755584204955789*^9}, {3.755587271031424*^9, 3.755587380591845*^9}, {
   3.755587922335506*^9, 3.755587931439083*^9}, {3.75561909710296*^9, 
   3.755619123568157*^9}, {3.755621874080988*^9, 3.755621875386004*^9}, {
   3.757090502697898*^9, 3.757090529625945*^9}},
 FontSize->16,
 Background->RGBColor[
  1, 1, 0],ExpressionUUID->"c42b33b7-b780-4d86-905c-762ae2f037f4"],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"v1", "=", 
   RowBox[{"{", 
    RowBox[{"1", ",", "1", ",", 
     RowBox[{"-", "2"}]}], "}"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"v2", "=", 
   RowBox[{"{", 
    RowBox[{"0", ",", 
     RowBox[{"-", "3"}], ",", "6"}], "}"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{"v", "=", 
  RowBox[{
   RowBox[{"2", "v1"}], "+", "v2"}]}]}], "Input",
 CellChangeTimes->{{3.755587468330186*^9, 3.7555875810143147`*^9}, {
  3.755587822627078*^9, 3.755587890471435*^9}, {3.759562877803123*^9, 
  3.759562879354217*^9}},
 CellLabel->"In[23]:=",ExpressionUUID->"d8191074-bb91-480a-a8a2-f0ed7e852f1b"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"2", ",", 
   RowBox[{"-", "1"}], ",", "2"}], "}"}]], "Output",
 CellChangeTimes->{
  3.755587491829576*^9, {3.755587537290512*^9, 3.755587581422482*^9}, {
   3.7555878272596407`*^9, 3.755587891103868*^9}, 3.759562879954097*^9},
 CellLabel->"Out[25]=",ExpressionUUID->"652d687c-ffbf-4411-9958-68b113caf827"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Norm", "[", "v", "]"}]], "Input",
 CellChangeTimes->{{3.759562883776203*^9, 3.759562886183133*^9}},
 CellLabel->"In[26]:=",ExpressionUUID->"a1cc93fd-7486-4367-bd28-e0aef43413fc"],

Cell[BoxData["3"], "Output",
 CellChangeTimes->{3.7595628879376793`*^9},
 CellLabel->"Out[26]=",ExpressionUUID->"5ed2ff9c-7515-4d12-9d5d-fab1a7b241c5"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Normalize", "[", "v", "]"}]], "Input",
 CellLabel->"In[27]:=",ExpressionUUID->"4be04af2-6431-4154-a4b0-978ba4458058"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox["2", "3"], ",", 
   RowBox[{"-", 
    FractionBox["1", "3"]}], ",", 
   FractionBox["2", "3"]}], "}"}]], "Output",
 CellChangeTimes->{3.7595628900266447`*^9},
 CellLabel->"Out[27]=",ExpressionUUID->"bc56b43d-4b7b-40cd-bcfb-059ced3b1931"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"v1", ".", "v2"}]], "Input",
 CellChangeTimes->{{3.7555879012724524`*^9, 3.7555879050069036`*^9}},
 CellLabel->
  "In[191]:=",ExpressionUUID->"3f1e5335-c33a-47bf-8ad2-9cbae5fd98d9"],

Cell[BoxData[
 RowBox[{"-", "15"}]], "Output",
 CellChangeTimes->{3.755587905616239*^9},
 CellLabel->
  "Out[191]=",ExpressionUUID->"cd62a98f-8c58-4a43-ba54-145f564130c7"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Dot", "[", 
  RowBox[{"v1", ",", "v2"}], "]"}]], "Input",
 CellChangeTimes->{{3.755587908009025*^9, 3.7555879194470167`*^9}},
 CellLabel->
  "In[193]:=",ExpressionUUID->"b956d5ec-ee97-48ff-85c9-fcc916dd6bf9"],

Cell[BoxData[
 RowBox[{"-", "15"}]], "Output",
 CellChangeTimes->{{3.755587915107718*^9, 3.755587919865712*^9}},
 CellLabel->
  "Out[193]=",ExpressionUUID->"b0d4320e-1a22-46bf-a69e-da5ddf1a1aae"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Cross", "[", 
  RowBox[{"v1", ",", "v2"}], "]"}]], "Input",
 CellChangeTimes->{{3.7555879346964903`*^9, 3.755587940406687*^9}},
 CellLabel->
  "In[194]:=",ExpressionUUID->"4672ef8d-54e8-47f5-baf2-fc0edd47d6e4"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0", ",", 
   RowBox[{"-", "6"}], ",", 
   RowBox[{"-", "3"}]}], "}"}]], "Output",
 CellChangeTimes->{3.755587941007392*^9},
 CellLabel->
  "Out[194]=",ExpressionUUID->"6a5f8c13-3024-42c5-8946-ca54750bf8df"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"VectorAngle", "[", 
  RowBox[{"v1", ",", "v2"}], "]"}]], "Input",
 CellChangeTimes->{{3.755587944872361*^9, 3.755588000743058*^9}},
 CellLabel->
  "In[199]:=",ExpressionUUID->"25f4b671-f1ae-4746-880a-50c882e4e866"],

Cell[BoxData[
 RowBox[{"ArcCos", "[", 
  RowBox[{"-", 
   SqrtBox[
    FractionBox["5", "6"]]}], "]"}]], "Output",
 CellChangeTimes->{{3.755587953517961*^9, 3.755588001203251*^9}},
 CellLabel->
  "Out[199]=",ExpressionUUID->"9dde7c52-88ba-4f94-9d03-e1fe5dae1b2c"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Degree", " ", 
  RowBox[{"N", "[", 
   RowBox[{"VectorAngle", "[", 
    RowBox[{"v1", ",", "v2"}], "]"}], "]"}]}]], "Input",
 CellLabel->
  "In[200]:=",ExpressionUUID->"573d0904-bcce-4672-9c8e-63aafd45079e"],

Cell[BoxData["0.04749142679321659`"], "Output",
 CellChangeTimes->{3.755588003886669*^9},
 CellLabel->
  "Out[200]=",ExpressionUUID->"6b2421cf-81fa-4216-8f2d-be800aeb424f"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["\<\

Matice\
\>", "Section",
 CellChangeTimes->{{3.427506934046875*^9, 3.42750696009375*^9}, {
  3.735543278302808*^9, 3.7355432824680347`*^9}, {3.7434076395916214`*^9, 
  3.7434076568609324`*^9}, {3.752341305988867*^9, 3.752341338508746*^9}, {
  3.755449007571602*^9, 3.755449008330915*^9}, {3.755584188596076*^9, 
  3.755584190419791*^9}, {3.755588042366345*^9, 3.755588042966413*^9}},
 FontSize->24,ExpressionUUID->"d20b0207-6a95-4c87-80c1-ac489ff8cc9e"],

Cell[CellGroupData[{

Cell["Operace s maticemi", "Text",
 CellGroupingRules->{GroupTogetherGrouping, 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, 3.43070847346875*^9, {
   3.7355431080745163`*^9, 3.73554311638937*^9}, {3.735543349767866*^9, 
   3.735543350719472*^9}, {3.7434076759554543`*^9, 3.7434076914307537`*^9}, {
   3.743407735033033*^9, 3.7434077758282948`*^9}, {3.7434078105073166`*^9, 
   3.7434078495855675`*^9}, {3.7540686391191483`*^9, 3.754068743902378*^9}, {
   3.754069935260605*^9, 3.754069941444293*^9}, {3.7555841992039547`*^9, 
   3.755584200027927*^9}, {3.75558808977415*^9, 3.755588092366502*^9}},
 FontSize->18,
 FontColor->GrayLevel[0],
 Background->RGBColor[
  0, 1, 1],ExpressionUUID->"3fbf10ab-3c99-4afd-832a-705891f040e6"],

Cell[CellGroupData[{

Cell["\<\
Matice se zad\[AAcute]v\[AAcute] jako seznam seznam\[URing] (\[RHacek]\
\[AAcute]dk\[URing] matice). Pro zobrazen\[IAcute] v tabulce slou\[ZHacek]\
\[IAcute] p\[RHacek]\[IAcute]kaz MatrixForm.
mezera - n\[AAcute]soben\[IAcute] prvek po prvku
a.b - maticov\[EAcute] n\[AAcute]soben\[IAcute]
Transpose[a] - transponov\[AAcute]n\[IAcute] matice a
Det[a] - determinant matice a
Tr[a]- stopa matice a
Inverse[a] - inverzn\[IAcute] matice k matici a
IdentityMatrix[n] - jednotkov\[AAcute] matice \[RHacek]\[AAcute]du n
MatrixQ[a] - ov\[EHacek]\[RHacek]\[IAcute], zda je a matice (seznam seznam\
\[URing] stejn\[EAcute] d\[EAcute]lky)\
\>", "Text",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, {3.430707302328125*^9, 
   3.4307073135625*^9}, {3.430707349046875*^9, 3.430707355390625*^9}, 
   3.430708585984375*^9, {3.430709160453125*^9, 3.430709171625*^9}, {
   3.430709213109375*^9, 3.4307092233125*^9}, {3.43073202221875*^9, 
   3.43073203440625*^9}, 3.430814505586162*^9, {3.735543424804347*^9, 
   3.735543469593234*^9}, {3.735967713879491*^9, 3.7359677213831387`*^9}, {
   3.7434078836249857`*^9, 3.743407917383602*^9}, {3.7434085899839134`*^9, 
   3.7434087023212337`*^9}, {3.7434088294776487`*^9, 
   3.7434088828455915`*^9}, {3.743408940089163*^9, 3.7434089664543324`*^9}, {
   3.7540687126427526`*^9, 3.75406872021809*^9}, {3.755584204235734*^9, 
   3.755584204955789*^9}, {3.7556191717343693`*^9, 3.755619305774727*^9}, {
   3.755620050693419*^9, 3.755620056413198*^9}, {3.755620987139247*^9, 
   3.75562099164349*^9}, {3.757090548033689*^9, 3.757090585153675*^9}, {
   3.7570909170646048`*^9, 3.757090923136951*^9}, {3.75956294612889*^9, 
   3.759562951703211*^9}},
 FontSize->16,
 Background->RGBColor[
  1, 1, 0],ExpressionUUID->"07b342b3-3703-457a-84f3-c20f04c30147"],

Cell[BoxData[{
 RowBox[{
  RowBox[{"aa", "=", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"1", ",", "2", ",", "0"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{
       RowBox[{"-", "1"}], ",", "3", ",", "2"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"1", ",", "0", ",", "1"}], "}"}]}], "}"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"bb", "=", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"3", ",", "0", ",", 
       RowBox[{"-", "2"}]}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"1", ",", "4", ",", "0"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"2", ",", "1", ",", "1"}], "}"}]}], "}"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"w", "=", 
   RowBox[{"{", 
    RowBox[{"1", ",", "2", ",", "3"}], "}"}]}], ";"}]}], "Input",
 CellChangeTimes->{{3.7556193135269403`*^9, 3.755619391886979*^9}, {
   3.7556194373203993`*^9, 3.7556194413100767`*^9}, {3.755619517038245*^9, 
   3.7556195237750587`*^9}, {3.755619854264497*^9, 3.7556198668620996`*^9}, 
   3.7595629606980677`*^9},ExpressionUUID->"738b459d-40c1-4fc4-adc8-\
51c5fe04c6ff"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"MatrixForm", "[", "aa", "]"}]], "Input",
 CellChangeTimes->{{3.7556193403055143`*^9, 3.755619350622624*^9}, {
  3.755619868634177*^9, 3.755619868837059*^9}},
 CellLabel->
  "In[228]:=",ExpressionUUID->"bc7d094a-bf1f-4dc6-af90-154bbed44395"],

Cell[BoxData[
 TagBox[
  RowBox[{"(", "\[NoBreak]", GridBox[{
     {"1", "2", "0"},
     {
      RowBox[{"-", "1"}], "3", "2"},
     {"1", "0", "1"}
    },
    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->{3.7556194011828947`*^9, 3.755619529670395*^9, 
  3.755619897118548*^9},
 CellLabel->
  "Out[228]//MatrixForm=",ExpressionUUID->"77e576f2-386b-46f0-b811-\
3852c5934e81"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"aa", " ", "w"}]], "Input",
 CellChangeTimes->{{3.755619421729713*^9, 3.755619444790258*^9}, {
   3.75561949299317*^9, 3.7556194946537933`*^9}, 3.755619525914308*^9, {
   3.755619852672559*^9, 3.755619873661517*^9}, {3.7556219213982773`*^9, 
   3.7556219244337606`*^9}},
 CellLabel->
  "In[271]:=",ExpressionUUID->"e64f66b0-bfa0-407b-9717-73bc87a7bf45"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"1", ",", "2", ",", "0"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "2"}], ",", "6", ",", "4"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"3", ",", "0", ",", "3"}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{{3.7556194258614483`*^9, 3.7556194452575417`*^9}, 
   3.755619495326161*^9, 3.7556195310523853`*^9, 3.7556198981028547`*^9, 
   3.7556219249125767`*^9},
 CellLabel->
  "Out[271]=",ExpressionUUID->"50115459-eebe-4e02-880c-ad0cf46f944c"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"aa", ".", "w"}]], "Input",
 CellChangeTimes->{{3.755621909217908*^9, 3.755621929297694*^9}},
 CellLabel->
  "In[272]:=",ExpressionUUID->"ac9d7d28-ed84-4299-91f8-1ee9463cf4e7"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"5", ",", "11", ",", "4"}], "}"}]], "Output",
 CellChangeTimes->{{3.755621909937613*^9, 3.7556219298221283`*^9}},
 CellLabel->
  "Out[272]=",ExpressionUUID->"f9d9e68b-c765-43d5-80dd-0c5ff2d97e23"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"aa", ".", "bb"}]], "Input",
 CellChangeTimes->{{3.7556194291354933`*^9, 3.755619430014237*^9}, {
  3.755619849512767*^9, 3.755619878941312*^9}},
 CellLabel->
  "In[230]:=",ExpressionUUID->"d01c959d-c9c0-4f42-8e53-ec2793050259"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"5", ",", "8", ",", 
     RowBox[{"-", "2"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"4", ",", "14", ",", "4"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"5", ",", "1", ",", 
     RowBox[{"-", "1"}]}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{3.7556194312189093`*^9, 3.755619536204485*^9, 
  3.755619898933864*^9},
 CellLabel->
  "Out[230]=",ExpressionUUID->"2b2a6ba0-e1ab-418a-b897-11cd0e4dc9dc"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Transpose", "[", "aa", "]"}], " ", "//", "MatrixForm"}]], "Input",
 CellChangeTimes->{{3.755619545391839*^9, 3.755619548518227*^9}, {
   3.7556196254563503`*^9, 3.755619628118037*^9}, 3.7556198479845057`*^9, {
   3.755619880669387*^9, 3.755619880885467*^9}},
 CellLabel->
  "In[231]:=",ExpressionUUID->"177491db-9693-4925-8083-58a4f8a16137"],

Cell[BoxData[
 TagBox[
  RowBox[{"(", "\[NoBreak]", GridBox[{
     {"1", 
      RowBox[{"-", "1"}], "1"},
     {"2", "3", "0"},
     {"0", "2", "1"}
    },
    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->{3.7556195489045153`*^9, 3.755619629029469*^9, 
  3.755619899823702*^9},
 CellLabel->
  "Out[231]//MatrixForm=",ExpressionUUID->"af171348-1ad7-4cc6-a091-\
91cf9f72af0e"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"MatrixForm", "[", 
  RowBox[{"Inverse", "[", "aa", "]"}], "]"}]], "Input",
 CellChangeTimes->{{3.755620065448114*^9, 3.755620076501088*^9}},
 CellLabel->
  "In[238]:=",ExpressionUUID->"7f7a9587-0788-4c0e-9a9a-abb1cf3e2c57"],

Cell[BoxData[
 TagBox[
  RowBox[{"(", "\[NoBreak]", GridBox[{
     {
      FractionBox["1", "3"], 
      RowBox[{"-", 
       FractionBox["2", "9"]}], 
      FractionBox["4", "9"]},
     {
      FractionBox["1", "3"], 
      FractionBox["1", "9"], 
      RowBox[{"-", 
       FractionBox["2", "9"]}]},
     {
      RowBox[{"-", 
       FractionBox["1", "3"]}], 
      FractionBox["2", "9"], 
      FractionBox["5", "9"]}
    },
    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->{3.755620077214705*^9},
 CellLabel->
  "Out[238]//MatrixForm=",ExpressionUUID->"f1511033-fc23-43c6-80c7-\
30063d68bf53"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Det", "[", "bb", "]"}]], "Input",
 CellChangeTimes->{{3.7556195503672457`*^9, 3.755619552086232*^9}, {
  3.755619884135227*^9, 3.7556198853896847`*^9}},
 CellLabel->
  "In[232]:=",ExpressionUUID->"ed0f7146-addd-4fad-940d-e8a67592dd50"],

Cell[BoxData["26"], "Output",
 CellChangeTimes->{3.755619552604343*^9, 3.755619900819747*^9},
 CellLabel->
  "Out[232]=",ExpressionUUID->"60cc594d-3c5c-4b04-97a6-074cc1270c96"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"3", "*", "aa"}], "-", 
  RowBox[{"IdentityMatrix", "[", "3", "]"}], "+", 
  RowBox[{"2", "*", "bb"}]}]], "Input",
 CellChangeTimes->{{3.75561956085604*^9, 3.755619579822585*^9}, {
  3.7556198448170233`*^9, 3.755619846325375*^9}, {3.755619888085526*^9, 
  3.7556198908534813`*^9}},
 CellLabel->
  "In[233]:=",ExpressionUUID->"08820ee2-d47a-41fa-acae-990e5d15c93e"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"8", ",", "6", ",", 
     RowBox[{"-", "4"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1"}], ",", "16", ",", "6"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"7", ",", "2", ",", "4"}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{3.755619580700547*^9, 3.755619901692107*^9},
 CellLabel->
  "Out[233]=",ExpressionUUID->"e3408a18-d386-4cc0-8caf-fe3eae06d55a"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"MatrixQ", "[", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"1", ",", "2"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"3", ",", "4", ",", "5"}], "}"}]}], "}"}], "]"}]], "Input",
 CellChangeTimes->{{3.757091666170321*^9, 3.757091666335476*^9}},
 CellLabel->"In[8]:=",ExpressionUUID->"deb484b3-6d15-4284-b4e3-c8039c4b4d22"],

Cell[BoxData["False"], "Output",
 CellChangeTimes->{3.757090940115368*^9, 3.757091667423571*^9},
 CellLabel->"Out[8]=",ExpressionUUID->"9fd55a9d-d2bf-433d-a32b-4f16025115bc"]
}, Open  ]],

Cell[CellGroupData[{

Cell["\<\
Na matice lze aplikovat p\[RHacek]\[IAcute]kazy pro manipulaci se seznamy.
Jednotliv\[EAcute] slo\[ZHacek]ky matice jsou prvky prvk\[URing] seznam\
\[URing] (\[RHacek]\[AAcute]dk\[URing]) matice).\
\>", "Text",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, {3.430707302328125*^9, 
   3.4307073135625*^9}, {3.430707349046875*^9, 3.430707355390625*^9}, 
   3.430708585984375*^9, {3.430709160453125*^9, 3.430709171625*^9}, {
   3.430709213109375*^9, 3.4307092233125*^9}, {3.43073202221875*^9, 
   3.43073203440625*^9}, 3.430814505586162*^9, {3.735543424804347*^9, 
   3.735543469593234*^9}, {3.735967713879491*^9, 3.7359677213831387`*^9}, {
   3.7434078836249857`*^9, 3.743407917383602*^9}, {3.7434085899839134`*^9, 
   3.7434087023212337`*^9}, {3.7434088294776487`*^9, 
   3.7434088828455915`*^9}, {3.743408940089163*^9, 3.7434089664543324`*^9}, {
   3.7540687126427526`*^9, 3.75406872021809*^9}, {3.755584204235734*^9, 
   3.755584204955789*^9}, {3.7556191717343693`*^9, 3.755619305774727*^9}, {
   3.755619742405349*^9, 3.755619769734209*^9}, {3.75562001471754*^9, 
   3.755620016740696*^9}, {3.7556201036457577`*^9, 3.755620122980928*^9}, 
   3.755620408884005*^9, 3.755620456276037*^9, {3.75562048930861*^9, 
   3.755620572259985*^9}},
 FontSize->16,
 Background->RGBColor[
  1, 1, 0],ExpressionUUID->"b064682d-eb78-438b-99a5-7f9e6b114b82"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"aa", "[", 
  RowBox[{"[", "1", "]"}], "]"}]], "Input",
 CellChangeTimes->{{3.7556203943917093`*^9, 3.755620399020647*^9}},
 CellLabel->
  "In[259]:=",ExpressionUUID->"5e38ce9a-96e8-446a-b6ba-fefcd5d228f3"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"1", ",", "2", ",", "0"}], "}"}]], "Output",
 CellChangeTimes->{3.7556203999083347`*^9},
 CellLabel->
  "Out[259]=",ExpressionUUID->"91166c71-f401-4e25-a69a-94ce638f002f"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"aa", "[", 
   RowBox[{"[", "1", "]"}], "]"}], "[", 
  RowBox[{"[", "2", "]"}], "]"}]], "Input",
 CellChangeTimes->{{3.755620420222377*^9, 3.755620438588584*^9}},
 CellLabel->
  "In[260]:=",ExpressionUUID->"904e8155-b895-4427-a0f2-ff64598d3e87"],

Cell[BoxData["2"], "Output",
 CellChangeTimes->{3.755620439188953*^9},
 CellLabel->
  "Out[260]=",ExpressionUUID->"705e4a19-dca6-440b-bf48-f3dbab49ec78"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"cc", "=", 
  RowBox[{"Table", "[", 
   RowBox[{
    RowBox[{"i", "+", "j"}], ",", 
    RowBox[{"{", 
     RowBox[{"i", ",", "1", ",", "4"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"j", ",", "1", ",", "3"}], "}"}]}], "]"}], " "}]], "Input",
 CellChangeTimes->{{3.755619775600292*^9, 3.75561984170159*^9}, {
   3.7556198927877693`*^9, 3.755619892940895*^9}, {3.7556202417289143`*^9, 
   3.7556202437575502`*^9}, 3.7556203849270277`*^9, 
   3.755620418012958*^9},ExpressionUUID->"bff293e2-6719-4cda-a897-\
c42f573dc8da"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"2", ",", "3", ",", "4"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"3", ",", "4", ",", "5"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"4", ",", "5", ",", "6"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"5", ",", "6", ",", "7"}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{3.755620276386593*^9, 3.75562035511861*^9},
 CellLabel->
  "Out[257]=",ExpressionUUID->"34ad15aa-be68-4cd4-a895-b6e329cac067"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"dd", "=", 
  RowBox[{
   RowBox[{"Join", "[", 
    RowBox[{"aa", ",", "bb"}], "]"}], "//", "MatrixForm"}]}]], "Input",
 CellChangeTimes->{{3.755619919158391*^9, 3.7556199393977337`*^9}, {
  3.755619997403117*^9, 3.755620005220578*^9}},
 CellLabel->
  "In[237]:=",ExpressionUUID->"5ddc8388-8f55-4ec0-91c3-8ae8cf9afa3c"],

Cell[BoxData[
 TagBox[
  RowBox[{"(", "\[NoBreak]", GridBox[{
     {"1", "2", "0"},
     {
      RowBox[{"-", "1"}], "3", "2"},
     {"1", "0", "1"},
     {"3", "0", 
      RowBox[{"-", "2"}]},
     {"1", "4", "0"},
     {"2", "1", "1"}
    },
    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->{
  3.755619940642734*^9, {3.755619998529113*^9, 3.755620005828042*^9}},
 CellLabel->
  "Out[237]//MatrixForm=",ExpressionUUID->"1eafe5fd-d14b-4827-9f82-\
80b16553d178"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"Append", "[", 
   RowBox[{"cc", ",", "w"}], "]"}], " ", "//", "MatrixForm"}]], "Input",
 CellChangeTimes->{{3.755620130494487*^9, 3.755620213500319*^9}, {
  3.7556202570753736`*^9, 3.755620266156735*^9}},
 CellLabel->
  "In[251]:=",ExpressionUUID->"fe818d6c-8012-48a7-8e34-aa1d0ee5470f"],

Cell[BoxData[
 TagBox[
  RowBox[{"(", "\[NoBreak]", GridBox[{
     {"2", "3", "4"},
     {"3", "4", "5"},
     {"4", "5", "6"},
     {"5", "6", "7"},
     {"1", "2", "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$, 
   MatrixForm[BoxForm`e$]]]], "Output",
 CellChangeTimes->{{3.7556201398812838`*^9, 3.755620213958479*^9}, {
  3.755620250787294*^9, 3.7556202672707367`*^9}},
 CellLabel->
  "Out[251]//MatrixForm=",ExpressionUUID->"2a5520ac-18e7-4290-99ea-\
fcf87d1c4afb"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Soustavy rovnic", "Text",
 CellGroupingRules->{GroupTogetherGrouping, 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, 3.43070847346875*^9, {
   3.7355431080745163`*^9, 3.73554311638937*^9}, {3.735543349767866*^9, 
   3.735543350719472*^9}, {3.7434076759554543`*^9, 3.7434076914307537`*^9}, {
   3.743407735033033*^9, 3.7434077758282948`*^9}, {3.7434078105073166`*^9, 
   3.7434078495855675`*^9}, {3.7540686391191483`*^9, 3.754068743902378*^9}, {
   3.754069935260605*^9, 3.754069941444293*^9}, {3.7555841992039547`*^9, 
   3.755584200027927*^9}, {3.755588095254434*^9, 3.755588102670526*^9}, 
   3.755620936363228*^9, {3.7577192296885633`*^9, 3.757719258385707*^9}},
 FontSize->18,
 FontColor->GrayLevel[0],
 Background->RGBColor[
  0, 1, 1],ExpressionUUID->"a5940112-b84b-44c7-a3d5-edaf900f8388"],

Cell[CellGroupData[{

Cell["\<\
Soustavu rovnic \[RHacek]e\[SHacek]\[IAcute]me pomoc\[IAcute] p\[RHacek]\
\[IAcute]kazu LinearSolve[matice, prav\[AAcute] strana]. 
P\[RHacek]\[IAcute]kaz LinearSolve[matice] vyrob\[IAcute] funkci pro \
libovolnou pravou stranu.\
\>", "Text",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, {3.430707302328125*^9, 
   3.4307073135625*^9}, {3.430707349046875*^9, 3.430707355390625*^9}, 
   3.430708585984375*^9, {3.430709160453125*^9, 3.430709171625*^9}, {
   3.430709213109375*^9, 3.4307092233125*^9}, {3.43073202221875*^9, 
   3.43073203440625*^9}, 3.430814505586162*^9, {3.735543424804347*^9, 
   3.735543469593234*^9}, {3.735967713879491*^9, 3.7359677213831387`*^9}, {
   3.7434078836249857`*^9, 3.743407917383602*^9}, {3.7434085899839134`*^9, 
   3.7434087023212337`*^9}, {3.7434088294776487`*^9, 
   3.7434088828455915`*^9}, {3.743408940089163*^9, 3.7434089664543324`*^9}, {
   3.7540687126427526`*^9, 3.75406872021809*^9}, {3.755584204235734*^9, 
   3.755584204955789*^9}, {3.7556191717343693`*^9, 3.755619305774727*^9}, {
   3.755619742405349*^9, 3.755619769734209*^9}, {3.75562001471754*^9, 
   3.755620016740696*^9}, {3.7556201036457577`*^9, 3.755620122980928*^9}, 
   3.755620408884005*^9, 3.755620456276037*^9, {3.75562048930861*^9, 
   3.755620572259985*^9}, {3.755620631283348*^9, 3.7556206635239143`*^9}, {
   3.755620790364349*^9, 3.7556208231874437`*^9}, {3.757719243461073*^9, 
   3.757719289160549*^9}, {3.757719416631379*^9, 3.757719460790358*^9}, {
   3.7577196123785477`*^9, 3.757719631834155*^9}},
 FontSize->16,
 Background->RGBColor[
  1, 1, 0],ExpressionUUID->"dee2166a-ad1e-4988-8923-21c05caa306f"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"LinearSolve", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"1", ",", "1"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"1", ",", 
       RowBox[{"-", "1"}]}], "}"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"5", ",", "1"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.7556206735427017`*^9, 3.755620680019548*^9}, {
  3.755620741803821*^9, 3.755620804668133*^9}, {3.757719296732638*^9, 
  3.757719362488545*^9}, {3.757719441542367*^9, 3.757719520901052*^9}, {
  3.757719565118332*^9, 
  3.7577195804276457`*^9}},ExpressionUUID->"43e4afec-630e-4554-ac9b-\
023dff868929"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"3", ",", "2"}], "}"}]], "Output",
 CellChangeTimes->{3.757719521669055*^9, 3.757719576083247*^9},
 CellLabel->"Out[10]=",ExpressionUUID->"74252de2-62d6-41c5-9666-2dc724a5398b"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"reseni", "=", 
  RowBox[{"LinearSolve", "[", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"1", ",", "1"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"1", ",", 
       RowBox[{"-", "1"}]}], "}"}]}], "}"}], "]"}]}]], "Input",
 CellChangeTimes->{{3.755620808437639*^9, 3.755620811819991*^9}, {
  3.757719587286543*^9, 3.757719604458598*^9}, {3.7577196364042253`*^9, 
  3.7577196404184103`*^9}, {3.757719677485464*^9, 3.757719698916078*^9}},
 CellLabel->"In[14]:=",ExpressionUUID->"e979c552-f2a4-4fec-ba31-c3b7efc08772"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{
   TagBox["LinearSolveFunction",
    "SummaryHead"], "[", 
   DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, 
    TemplateBox[{PaneSelectorBox[{False -> GridBox[{{
            PaneBox[
             ButtonBox[
              DynamicBox[
               FEPrivate`FrontEndResource[
               "FEBitmaps", "SquarePlusIconMedium"]], 
              ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, 
              Evaluator -> Automatic, Method -> "Preemptive"], 
             Alignment -> {Center, Center}, ImageSize -> 
             Dynamic[{
               Automatic, 
                3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[
                 Magnification])}]], 
            TemplateBox[{
              GraphicsBox[
               
               RasterBox[{{{0.772061, 0.92462, 0.998703}, {0.16791, 0., 
                0.301671}}, {{0.772061, 0.92462, 0.998703}, {0.772061, 
                0.92462, 0.998703}}}, {{0, 0}, {2, 2}}, {0, 1}], AspectRatio -> 
               1, Axes -> False, Frame -> False, FrameLabel -> {None, None}, 
               FrameStyle -> Directive[
                 Opacity[0.5], 
                 Thickness[Tiny], 
                 RGBColor[0.368417, 0.506779, 0.709798]], 
               FrameTicks -> {{None, None}, {None, None}}, GridLinesStyle -> 
               Directive[
                 GrayLevel[0.5, 0.4]], ImageSize -> 
               Dynamic[{
                 Automatic, 
                  3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[
                   Magnification])}], 
               Method -> {
                "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> 
                 Automatic, "DefaultPlotStyle" -> Automatic, "DomainPadding" -> 
                 Scaled[0.02], "RangePadding" -> Scaled[0.05]}], 
              RowBox[{"-", "1"}]}, "Superscript", SyntaxForm -> 
             SuperscriptBox], 
            GridBox[{{
               RowBox[{
                 TagBox["\"Matrix dimensions: \"", "SummaryItemAnnotation"], 
                 "\[InvisibleSpace]", 
                 TagBox[
                  RowBox[{"{", 
                    RowBox[{"2", ",", "2"}], "}"}], "SummaryItem"]}]}}, 
             GridBoxAlignment -> {
              "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> 
             False, GridBoxItemSize -> {
              "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
             GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}},
              BaseStyle -> {
              ShowStringCharacters -> False, NumberMarks -> False, 
               PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, 
          GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, 
          GridBoxItemSize -> {
           "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
          BaselinePosition -> {1, 1}], True -> GridBox[{{
            PaneBox[
             ButtonBox[
              DynamicBox[
               FEPrivate`FrontEndResource[
               "FEBitmaps", "SquareMinusIconMedium"]], 
              ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, 
              Evaluator -> Automatic, Method -> "Preemptive"], 
             Alignment -> {Center, Center}, ImageSize -> 
             Dynamic[{
               Automatic, 
                3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[
                 Magnification])}]], 
            TemplateBox[{
              GraphicsBox[
               
               RasterBox[{{{0.772061, 0.92462, 0.998703}, {0.16791, 0., 
                0.301671}}, {{0.772061, 0.92462, 0.998703}, {0.772061, 
                0.92462, 0.998703}}}, {{0, 0}, {2, 2}}, {0, 1}], AspectRatio -> 
               1, Axes -> False, Frame -> False, FrameLabel -> {None, None}, 
               FrameStyle -> Directive[
                 Opacity[0.5], 
                 Thickness[Tiny], 
                 RGBColor[0.368417, 0.506779, 0.709798]], 
               FrameTicks -> {{None, None}, {None, None}}, GridLinesStyle -> 
               Directive[
                 GrayLevel[0.5, 0.4]], ImageSize -> 
               Dynamic[{
                 Automatic, 
                  3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[
                   Magnification])}], 
               Method -> {
                "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> 
                 Automatic, "DefaultPlotStyle" -> Automatic, "DomainPadding" -> 
                 Scaled[0.02], "RangePadding" -> Scaled[0.05]}], 
              RowBox[{"-", "1"}]}, "Superscript", SyntaxForm -> 
             SuperscriptBox], 
            GridBox[{{
               RowBox[{
                 TagBox["\"Matrix dimensions: \"", "SummaryItemAnnotation"], 
                 "\[InvisibleSpace]", 
                 TagBox[
                  RowBox[{"{", 
                    RowBox[{"2", ",", "2"}], "}"}], "SummaryItem"]}]}, {
               RowBox[{
                 TagBox["\"Precision: \"", "SummaryItemAnnotation"], 
                 "\[InvisibleSpace]", 
                 TagBox["\[Infinity]", "SummaryItem"]}]}}, 
             GridBoxAlignment -> {
              "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> 
             False, GridBoxItemSize -> {
              "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
             GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}},
              BaseStyle -> {
              ShowStringCharacters -> False, NumberMarks -> False, 
               PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, 
          GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, 
          GridBoxItemSize -> {
           "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
          BaselinePosition -> {1, 1}]}, 
       Dynamic[Typeset`open$$], ImageSize -> Automatic]},
     "SummaryPanel"],
    DynamicModuleValues:>{}], "]"}],
  LinearSolveFunction[{2, 2}, {
   2, True, {{{1, 1}, {1, -2}}, {1, 2}, 0}, {0, Automatic, Automatic}, 0}],
  Editable->False,
  SelectWithContents->True,
  Selectable->False]], "Output",
 CellChangeTimes->{
  3.755620812542153*^9, 3.75771964522509*^9, {3.7577196811081343`*^9, 
   3.757719703154524*^9}},
 CellLabel->"Out[14]=",ExpressionUUID->"b4aed369-0510-4b9e-88d8-c88cf9414cb0"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"reseni", "[", 
  RowBox[{"{", 
   RowBox[{"5", ",", "1"}], "}"}], "]"}]], "Input",
 CellChangeTimes->{{3.7577196835788403`*^9, 3.75771968955315*^9}},
 CellLabel->"In[15]:=",ExpressionUUID->"251580b4-6b7f-4bfb-9cdf-fe0b2e8a5ee4"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"3", ",", "2"}], "}"}]], "Output",
 CellChangeTimes->{{3.757719690353863*^9, 3.757719706907756*^9}},
 CellLabel->"Out[15]=",ExpressionUUID->"18cbef8d-7ac7-4880-85cb-e9378fdf6d36"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Vlastn\[IAcute] \[CHacek]\[IAcute]sla a vektory", "Text",
 CellGroupingRules->{GroupTogetherGrouping, 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, 3.43070847346875*^9, {
   3.7355431080745163`*^9, 3.73554311638937*^9}, {3.735543349767866*^9, 
   3.735543350719472*^9}, {3.7434076759554543`*^9, 3.7434076914307537`*^9}, {
   3.743407735033033*^9, 3.7434077758282948`*^9}, {3.7434078105073166`*^9, 
   3.7434078495855675`*^9}, {3.7540686391191483`*^9, 3.754068743902378*^9}, {
   3.754069935260605*^9, 3.754069941444293*^9}, {3.7555841992039547`*^9, 
   3.755584200027927*^9}, {3.755588095254434*^9, 3.755588102670526*^9}, 
   3.755620936363228*^9},
 FontSize->18,
 FontColor->GrayLevel[0],
 Background->RGBColor[
  0, 1, 1],ExpressionUUID->"4a18bf2d-68f7-4153-b199-e316dfdfddcc"],

Cell[CellGroupData[{

Cell["\<\
P\[RHacek]\[IAcute]kazy pro nalezen\[IAcute] vlastn\[IAcute]ch \[CHacek]\
\[IAcute]sel a vektor\[URing] jsou Eigenvalues, Eigenvectors, Eigensystem.\
\>", "Text",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.},
 CellChangeTimes->{{3.430706685234375*^9, 3.43070675628125*^9}, {
   3.430706788765625*^9, 3.430706818359375*^9}, {3.430707302328125*^9, 
   3.4307073135625*^9}, {3.430707349046875*^9, 3.430707355390625*^9}, 
   3.430708585984375*^9, {3.430709160453125*^9, 3.430709171625*^9}, {
   3.430709213109375*^9, 3.4307092233125*^9}, {3.43073202221875*^9, 
   3.43073203440625*^9}, 3.430814505586162*^9, {3.735543424804347*^9, 
   3.735543469593234*^9}, {3.735967713879491*^9, 3.7359677213831387`*^9}, {
   3.7434078836249857`*^9, 3.743407917383602*^9}, {3.7434085899839134`*^9, 
   3.7434087023212337`*^9}, {3.7434088294776487`*^9, 
   3.7434088828455915`*^9}, {3.743408940089163*^9, 3.7434089664543324`*^9}, {
   3.7540687126427526`*^9, 3.75406872021809*^9}, {3.755584204235734*^9, 
   3.755584204955789*^9}, {3.7556191717343693`*^9, 3.755619305774727*^9}, {
   3.755619742405349*^9, 3.755619769734209*^9}, {3.75562001471754*^9, 
   3.755620016740696*^9}, {3.7556201036457577`*^9, 3.755620122980928*^9}, 
   3.755620408884005*^9, 3.755620456276037*^9, {3.75562048930861*^9, 
   3.755620572259985*^9}, {3.755620631283348*^9, 3.7556206635239143`*^9}, {
   3.755620790364349*^9, 3.7556208231874437`*^9}},
 FontSize->16,
 Background->RGBColor[
  1, 1, 0],ExpressionUUID->"1a05310c-dd87-4924-97a0-0cd54f3b1447"],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"ee", "=", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"1", ",", 
       RowBox[{"\[Minus]", "4"}], ",", 
       RowBox[{"\[Minus]", "4"}]}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"0", ",", "1", ",", "0"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"0", ",", 
       RowBox[{"\[Minus]", "2"}], ",", 
       RowBox[{"\[Minus]", "1"}]}], "}"}]}], "}"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{"Eigenvalues", "[", "ee", "]"}]}], "Input",
 CellChangeTimes->{{3.7556206735427017`*^9, 3.755620680019548*^9}, {
  3.755620741803821*^9, 3.755620804668133*^9}, {3.7595629765547657`*^9, 
  3.759562977354248*^9}},
 CellLabel->"In[28]:=",ExpressionUUID->"b90253cd-f338-4f7b-8242-c85d0ab86797"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"-", "1"}], ",", "1", ",", "1"}], "}"}]], "Output",
 CellChangeTimes->{{3.755620765053322*^9, 3.7556208053341837`*^9}, 
   3.759562978285513*^9},
 CellLabel->"Out[29]=",ExpressionUUID->"2ee63317-756b-48f0-95f5-f8f65963e0cd"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Eigenvectors", "[", "ee", "]"}]], "Input",
 CellLabel->"In[30]:=",ExpressionUUID->"3d4b93df-7c0e-4db1-9ff2-10d36b50e843"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"2", ",", "0", ",", "1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"0", ",", 
     RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"1", ",", "0", ",", "0"}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{3.759562980314872*^9},
 CellLabel->"Out[30]=",ExpressionUUID->"dca6cfc0-d332-4012-82e1-e9e45c38857d"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Eigensystem", "[", "ee", "]"}]], "Input",
 CellChangeTimes->{{3.755620808437639*^9, 3.755620811819991*^9}},
 CellLabel->
  "In[269]:=",ExpressionUUID->"6bb07f35-4667-44fb-a5a4-69f3c9180505"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"-", "1"}], ",", "1", ",", "1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"2", ",", "0", ",", "1"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"0", ",", 
       RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"1", ",", "0", ",", "0"}], "}"}]}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{3.755620812542153*^9},
 CellLabel->
  "Out[269]=",ExpressionUUID->"72410b2e-f135-4c97-9fcc-f101c04e08fe"]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}, Open  ]]
},
CellGrouping->Manual,
WindowSize->{1920, 1006},
WindowMargins->{{0, Automatic}, {0, Automatic}},
PrivateNotebookOptions->{"VersionedStylesheet"->{"Default.nb"[8.] -> False}},
FrontEndVersion->"11.3 for Linux x86 (64-bit) (March 6, 2018)",
StyleDefinitions->"Default.nb"
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[545, 20, 140130, 2302, 107, "Title",ExpressionUUID->"d8cd49f9-1514-4c6b-a16d-5310ee3f95cf"],
Cell[140678, 2324, 799, 12, 115, "Title",ExpressionUUID->"02aa6fc0-b4fc-4896-bf06-6c0482c52b11"],
Cell[141480, 2338, 366, 8, 103, "Subtitle",ExpressionUUID->"c60072f4-090c-46aa-99b2-a7bbd197e1fb"],
Cell[CellGroupData[{
Cell[141871, 2350, 514, 10, 97, "Section",ExpressionUUID->"c20d905c-b443-44c3-aede-8b0ab3b8cd2e"],
Cell[CellGroupData[{
Cell[142410, 2364, 894, 14, 56, "Text",ExpressionUUID->"4336eb23-6f85-4e87-962d-eb148ec8e2df",
 CellGroupingRules->{GroupTogetherGrouping, 10000.}],
Cell[CellGroupData[{
Cell[143329, 2382, 1647, 28, 178, "Text",ExpressionUUID->"7083718a-652b-4ae7-bb55-f5731eb18926",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.}],
Cell[CellGroupData[{
Cell[145001, 2414, 395, 7, 31, "Input",ExpressionUUID->"15101f0d-c9bd-4eb4-91d0-82bb0e716eb4"],
Cell[145399, 2423, 252, 5, 35, "Output",ExpressionUUID->"4309b4c4-fda0-4cd3-bd53-bb661cebc53d"]
}, Open  ]],
Cell[CellGroupData[{
Cell[145688, 2433, 275, 5, 31, "Input",ExpressionUUID->"391889e8-30fe-46c0-a204-e16ae3bc4d79"],
Cell[145966, 2440, 272, 4, 35, "Output",ExpressionUUID->"99d81736-4856-46a8-bec2-15ba4e97a5f3"]
}, Open  ]],
Cell[CellGroupData[{
Cell[146275, 2449, 235, 4, 31, "Input",ExpressionUUID->"011f0c40-b7a5-4c42-827e-52c475894c1a"],
Cell[146513, 2455, 195, 3, 35, "Output",ExpressionUUID->"8aec57e3-c936-43a1-89f5-a3a8508774ef"]
}, Open  ]],
Cell[CellGroupData[{
Cell[146745, 2463, 207, 3, 31, "Input",ExpressionUUID->"5819265d-7b0f-4cea-aa43-5312476dd64f"],
Cell[146955, 2468, 199, 3, 35, "Output",ExpressionUUID->"dc0ea71c-8be8-4075-ba7d-f43252333494"]
}, Open  ]],
Cell[CellGroupData[{
Cell[147191, 2476, 392, 9, 31, "Input",ExpressionUUID->"75724111-1c29-4985-aa60-8f253234ec41"],
Cell[147586, 2487, 351, 6, 35, "Output",ExpressionUUID->"e7938e8c-1ad2-4dd1-9a6e-d10bb7d5fac2"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[147986, 2499, 2596, 42, 203, "Text",ExpressionUUID->"6ca9f22f-54b9-472d-82ad-85ed342c622c",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.}],
Cell[CellGroupData[{
Cell[150607, 2545, 397, 8, 31, "Input",ExpressionUUID->"207591fa-1f50-4559-ac45-23ab1baa055d"],
Cell[151007, 2555, 340, 7, 35, "Output",ExpressionUUID->"fd8d10eb-862f-40ff-b02b-73daa71c18a1"]
}, Open  ]],
Cell[CellGroupData[{
Cell[151384, 2567, 231, 4, 31, "Input",ExpressionUUID->"8e13f31c-8af0-4464-ba8f-1e92f8bea080"],
Cell[151618, 2573, 294, 6, 35, "Output",ExpressionUUID->"81a3f71f-b1cc-41cd-a872-bdcb4119b9b5"]
}, Open  ]],
Cell[CellGroupData[{
Cell[151949, 2584, 233, 4, 31, "Input",ExpressionUUID->"935d79e7-7eb4-4b86-ad7f-3712cb038a40"],
Cell[152185, 2590, 216, 4, 35, "Output",ExpressionUUID->"02c44ca2-6183-43b3-a7dd-1b5b7ec75f6d"]
}, Open  ]],
Cell[CellGroupData[{
Cell[152438, 2599, 232, 4, 31, "Input",ExpressionUUID->"9366aae5-1eb2-433b-ad95-d5d3a1fe7a15"],
Cell[152673, 2605, 171, 2, 35, "Output",ExpressionUUID->"860b8a0b-3173-4c04-8e4c-665a0390a0cb"]
}, Open  ]],
Cell[CellGroupData[{
Cell[152881, 2612, 334, 6, 31, "Input",ExpressionUUID->"d73935c5-41d8-4c12-b03a-c72db09bf0a0"],
Cell[153218, 2620, 267, 5, 35, "Output",ExpressionUUID->"b2d60088-9c28-4120-9599-93febeb5a0c5"]
}, Open  ]],
Cell[CellGroupData[{
Cell[153522, 2630, 274, 6, 31, "Input",ExpressionUUID->"38b05fda-6db9-4640-94ea-044216f6e120"],
Cell[153799, 2638, 284, 6, 35, "Output",ExpressionUUID->"e8cc94fe-6048-4723-9109-952e031587d2"]
}, Open  ]],
Cell[CellGroupData[{
Cell[154120, 2649, 251, 5, 31, "Input",ExpressionUUID->"27e4ac50-d298-482d-a445-8a5ea91ca220"],
Cell[154374, 2656, 370, 7, 35, "Output",ExpressionUUID->"517eca4b-b2ce-46ab-972c-8593a03c0184"]
}, Open  ]],
Cell[CellGroupData[{
Cell[154781, 2668, 209, 3, 31, "Input",ExpressionUUID->"de505de4-3b1d-474e-ac23-269131e37f91"],
Cell[154993, 2673, 174, 2, 35, "Output",ExpressionUUID->"9bf1d6b8-0aa6-4435-b478-7508f371ba49"]
}, Open  ]],
Cell[CellGroupData[{
Cell[155204, 2680, 232, 4, 31, "Input",ExpressionUUID->"5c28184b-16b5-4ce5-ab00-8921fb78bb39"],
Cell[155439, 2686, 204, 3, 35, "Output",ExpressionUUID->"7284fbff-396c-4256-bc24-011766028aae"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[155692, 2695, 2121, 34, 153, "Text",ExpressionUUID->"3173b187-3b61-4efb-a401-15d25d229de3",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.}],
Cell[CellGroupData[{
Cell[157838, 2733, 263, 6, 31, "Input",ExpressionUUID->"662c4d2b-0d25-4de3-8f28-b1071237e94f"],
Cell[158104, 2741, 367, 7, 35, "Output",ExpressionUUID->"9bcbbda6-067a-4f3e-be3e-3df921899eff"]
}, Open  ]],
Cell[CellGroupData[{
Cell[158508, 2753, 217, 5, 31, "Input",ExpressionUUID->"9f637afb-9992-4d94-ab67-e5a30239b0ad"],
Cell[158728, 2760, 248, 5, 35, "Output",ExpressionUUID->"ff2be60d-e956-4d12-8958-e0ae7aec8ee0"]
}, Open  ]],
Cell[CellGroupData[{
Cell[159013, 2770, 170, 3, 31, "Input",ExpressionUUID->"3bbe25d1-d14e-4117-b640-97caefec80c7"],
Cell[159186, 2775, 292, 6, 35, "Output",ExpressionUUID->"de7b4ae2-47f8-4608-8dc7-6f0fd0699b14"]
}, Open  ]],
Cell[CellGroupData[{
Cell[159515, 2786, 257, 4, 31, "Input",ExpressionUUID->"be7914e4-a0ab-44f3-a93e-f08fdf9edcb6"],
Cell[159775, 2792, 507, 9, 35, "Output",ExpressionUUID->"ba28a45d-f817-4aeb-81c7-a2aa54d09c15"]
}, Open  ]],
Cell[CellGroupData[{
Cell[160319, 2806, 260, 4, 31, "Input",ExpressionUUID->"e59efc46-c887-4f86-b4be-ab1635da3d9c"],
Cell[160582, 2812, 270, 5, 35, "Output",ExpressionUUID->"42017c37-c8c1-4ec8-bd2b-e2554d77bdfb"]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[160925, 2825, 806, 13, 56, "Text",ExpressionUUID->"9889e7ef-00f9-4ec4-ae7e-46df2e134b3c",
 CellGroupingRules->{GroupTogetherGrouping, 10000.}],
Cell[CellGroupData[{
Cell[161756, 2842, 1615, 28, 203, "Text",ExpressionUUID->"c42b33b7-b780-4d86-905c-762ae2f037f4",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.}],
Cell[CellGroupData[{
Cell[163396, 2874, 638, 17, 78, "Input",ExpressionUUID->"d8191074-bb91-480a-a8a2-f0ed7e852f1b"],
Cell[164037, 2893, 346, 7, 35, "Output",ExpressionUUID->"652d687c-ffbf-4411-9958-68b113caf827"]
}, Open  ]],
Cell[CellGroupData[{
Cell[164420, 2905, 202, 3, 31, "Input",ExpressionUUID->"a1cc93fd-7486-4367-bd28-e0aef43413fc"],
Cell[164625, 2910, 151, 2, 35, "Output",ExpressionUUID->"5ed2ff9c-7515-4d12-9d5d-fab1a7b241c5"]
}, Open  ]],
Cell[CellGroupData[{
Cell[164813, 2917, 141, 2, 31, "Input",ExpressionUUID->"4be04af2-6431-4154-a4b0-978ba4458058"],
Cell[164957, 2921, 292, 8, 53, "Output",ExpressionUUID->"bc56b43d-4b7b-40cd-bcfb-059ced3b1931"]
}, Open  ]],
Cell[CellGroupData[{
Cell[165286, 2934, 204, 4, 31, "Input",ExpressionUUID->"3f1e5335-c33a-47bf-8ad2-9cbae5fd98d9"],
Cell[165493, 2940, 171, 4, 35, "Output",ExpressionUUID->"cd62a98f-8c58-4a43-ba54-145f564130c7"]
}, Open  ]],
Cell[CellGroupData[{
Cell[165701, 2949, 232, 5, 31, "Input",ExpressionUUID->"b956d5ec-ee97-48ff-85c9-fcc916dd6bf9"],
Cell[165936, 2956, 195, 4, 35, "Output",ExpressionUUID->"b0d4320e-1a22-46bf-a69e-da5ddf1a1aae"]
}, Open  ]],
Cell[CellGroupData[{
Cell[166168, 2965, 234, 5, 31, "Input",ExpressionUUID->"4672ef8d-54e8-47f5-baf2-fc0edd47d6e4"],
Cell[166405, 2972, 246, 7, 35, "Output",ExpressionUUID->"6a5f8c13-3024-42c5-8946-ca54750bf8df"]
}, Open  ]],
Cell[CellGroupData[{
Cell[166688, 2984, 238, 5, 31, "Input",ExpressionUUID->"25f4b671-f1ae-4746-880a-50c882e4e866"],
Cell[166929, 2991, 263, 7, 61, "Output",ExpressionUUID->"9dde7c52-88ba-4f94-9d03-e1fe5dae1b2c"]
}, Open  ]],
Cell[CellGroupData[{
Cell[167229, 3003, 231, 6, 31, "Input",ExpressionUUID->"573d0904-bcce-4672-9c8e-63aafd45079e"],
Cell[167463, 3011, 172, 3, 35, "Output",ExpressionUUID->"6b2421cf-81fa-4216-8f2d-be800aeb424f"]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[167696, 3021, 463, 9, 97, "Section",ExpressionUUID->"d20b0207-6a95-4c87-80c1-ac489ff8cc9e"],
Cell[CellGroupData[{
Cell[168184, 3034, 806, 13, 56, "Text",ExpressionUUID->"3fbf10ab-3c99-4afd-832a-705891f040e6",
 CellGroupingRules->{GroupTogetherGrouping, 10000.}],
Cell[CellGroupData[{
Cell[169015, 3051, 1908, 33, 253, "Text",ExpressionUUID->"07b342b3-3703-457a-84f3-c20f04c30147",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.}],
Cell[170926, 3086, 1121, 33, 78, "Input",ExpressionUUID->"738b459d-40c1-4fc4-adc8-51c5fe04c6ff"],
Cell[CellGroupData[{
Cell[172072, 3123, 264, 5, 31, "Input",ExpressionUUID->"bc7d094a-bf1f-4dc6-af90-154bbed44395"],
Cell[172339, 3130, 827, 24, 83, "Output",ExpressionUUID->"77e576f2-386b-46f0-b811-3852c5934e81"]
}, Open  ]],
Cell[CellGroupData[{
Cell[173203, 3159, 376, 7, 31, "Input",ExpressionUUID->"e64f66b0-bfa0-407b-9717-73bc87a7bf45"],
Cell[173582, 3168, 536, 14, 35, "Output",ExpressionUUID->"50115459-eebe-4e02-880c-ad0cf46f944c"]
}, Open  ]],
Cell[CellGroupData[{
Cell[174155, 3187, 199, 4, 31, "Input",ExpressionUUID->"ac9d7d28-ed84-4299-91f8-1ee9463cf4e7"],
Cell[174357, 3193, 235, 5, 35, "Output",ExpressionUUID->"f9d9e68b-c765-43d5-80dd-0c5ff2d97e23"]
}, Open  ]],
Cell[CellGroupData[{
Cell[174629, 3203, 251, 5, 31, "Input",ExpressionUUID->"d01c959d-c9c0-4f42-8e53-ec2793050259"],
Cell[174883, 3210, 477, 14, 35, "Output",ExpressionUUID->"2b2a6ba0-e1ab-418a-b897-11cd0e4dc9dc"]
}, Open  ]],
Cell[CellGroupData[{
Cell[175397, 3229, 376, 7, 31, "Input",ExpressionUUID->"177491db-9693-4925-8083-58a4f8a16137"],
Cell[175776, 3238, 827, 24, 83, "Output",ExpressionUUID->"af171348-1ad7-4cc6-a091-91cf9f72af0e"]
}, Open  ]],
Cell[CellGroupData[{
Cell[176640, 3267, 247, 5, 31, "Input",ExpressionUUID->"7f7a9587-0788-4c0e-9a9a-abb1cf3e2c57"],
Cell[176890, 3274, 1050, 34, 119, "Output",ExpressionUUID->"f1511033-fc23-43c6-80c7-30063d68bf53"]
}, Open  ]],
Cell[CellGroupData[{
Cell[177977, 3313, 259, 5, 31, "Input",ExpressionUUID->"ed0f7146-addd-4fad-940d-e8a67592dd50"],
Cell[178239, 3320, 176, 3, 35, "Output",ExpressionUUID->"60cc594d-3c5c-4b04-97a6-074cc1270c96"]
}, Open  ]],
Cell[CellGroupData[{
Cell[178452, 3328, 398, 9, 31, "Input",ExpressionUUID->"08820ee2-d47a-41fa-acae-990e5d15c93e"],
Cell[178853, 3339, 450, 13, 35, "Output",ExpressionUUID->"e3408a18-d386-4cc0-8caf-fe3eae06d55a"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[179352, 3358, 363, 9, 31, "Input",ExpressionUUID->"deb484b3-6d15-4284-b4e3-c8039c4b4d22"],
Cell[179718, 3369, 174, 2, 35, "Output",ExpressionUUID->"9fd55a9d-d2bf-433d-a32b-4f16025115bc"]
}, Open  ]],
Cell[CellGroupData[{
Cell[179929, 3376, 1475, 24, 78, "Text",ExpressionUUID->"b064682d-eb78-438b-99a5-7f9e6b114b82",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.}],
Cell[CellGroupData[{
Cell[181429, 3404, 229, 5, 31, "Input",ExpressionUUID->"5e38ce9a-96e8-446a-b6ba-fefcd5d228f3"],
Cell[181661, 3411, 210, 5, 35, "Output",ExpressionUUID->"91166c71-f401-4e25-a69a-94ce638f002f"]
}, Open  ]],
Cell[CellGroupData[{
Cell[181908, 3421, 279, 7, 31, "Input",ExpressionUUID->"904e8155-b895-4427-a0f2-ff64598d3e87"],
Cell[182190, 3430, 153, 3, 35, "Output",ExpressionUUID->"705e4a19-dca6-440b-bf48-f3dbab49ec78"]
}, Open  ]],
Cell[CellGroupData[{
Cell[182380, 3438, 546, 13, 31, "Input",ExpressionUUID->"bff293e2-6719-4cda-a897-c42f573dc8da"],
Cell[182929, 3453, 475, 13, 35, "Output",ExpressionUUID->"34ad15aa-be68-4cd4-a895-b6e329cac067"]
}, Open  ]],
Cell[CellGroupData[{
Cell[183441, 3471, 342, 8, 31, "Input",ExpressionUUID->"5ddc8388-8f55-4ec0-91c3-8ae8cf9afa3c"],
Cell[183786, 3481, 915, 28, 137, "Output",ExpressionUUID->"1eafe5fd-d14b-4827-9f82-80b16553d178"]
}, Open  ]],
Cell[CellGroupData[{
Cell[184738, 3514, 322, 7, 31, "Input",ExpressionUUID->"fe818d6c-8012-48a7-8e34-aa1d0ee5470f"],
Cell[185063, 3523, 877, 25, 119, "Output",ExpressionUUID->"2a5520ac-18e7-4290-99ea-fcf87d1c4afb"]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[186001, 3555, 878, 14, 56, "Text",ExpressionUUID->"a5940112-b84b-44c7-a3d5-edaf900f8388",
 CellGroupingRules->{GroupTogetherGrouping, 10000.}],
Cell[CellGroupData[{
Cell[186904, 3573, 1755, 28, 78, "Text",ExpressionUUID->"dee2166a-ad1e-4988-8923-21c05caa306f",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.}],
Cell[CellGroupData[{
Cell[188684, 3605, 637, 17, 31, "Input",ExpressionUUID->"43e4afec-630e-4554-ac9b-023dff868929"],
Cell[189324, 3624, 216, 4, 35, "Output",ExpressionUUID->"74252de2-62d6-41c5-9666-2dc724a5398b"]
}, Open  ]],
Cell[CellGroupData[{
Cell[189577, 3633, 563, 13, 31, "Input",ExpressionUUID->"e979c552-f2a4-4fec-ba31-c3b7efc08772"],
Cell[190143, 3648, 6370, 132, 68, "Output",ExpressionUUID->"b4aed369-0510-4b9e-88d8-c88cf9414cb0"]
}, Open  ]],
Cell[CellGroupData[{
Cell[196550, 3785, 252, 5, 31, "Input",ExpressionUUID->"251580b4-6b7f-4bfb-9cdf-fe0b2e8a5ee4"],
Cell[196805, 3792, 218, 4, 35, "Output",ExpressionUUID->"18cbef8d-7ac7-4880-85cb-e9378fdf6d36"]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[197084, 3803, 862, 14, 56, "Text",ExpressionUUID->"4a18bf2d-68f7-4153-b199-e316dfdfddcc",
 CellGroupingRules->{GroupTogetherGrouping, 10000.}],
Cell[CellGroupData[{
Cell[197971, 3821, 1527, 24, 53, "Text",ExpressionUUID->"1a05310c-dd87-4924-97a0-0cd54f3b1447",
 CellGroupingRules->{"GroupTogetherGrouping", 10000.}],
Cell[CellGroupData[{
Cell[199523, 3849, 754, 20, 55, "Input",ExpressionUUID->"b90253cd-f338-4f7b-8242-c85d0ab86797"],
Cell[200280, 3871, 275, 6, 35, "Output",ExpressionUUID->"2ee63317-756b-48f0-95f5-f8f65963e0cd"]
}, Open  ]],
Cell[CellGroupData[{
Cell[200592, 3882, 145, 2, 31, "Input",ExpressionUUID->"3d4b93df-7c0e-4db1-9ff2-10d36b50e843"],
Cell[200740, 3886, 402, 11, 35, "Output",ExpressionUUID->"dca6cfc0-d332-4012-82e1-e9e45c38857d"]
}, Open  ]],
Cell[CellGroupData[{
Cell[201179, 3902, 214, 4, 31, "Input",ExpressionUUID->"6bb07f35-4667-44fb-a5a4-69f3c9180505"],
Cell[201396, 3908, 549, 17, 35, "Output",ExpressionUUID->"72410b2e-f135-4c97-9fcc-f101c04e08fe"]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}
]
*)