/
Uvod v Mathematico.nb
11650 lines (11174 loc) · 545 KB
/
Uvod v Mathematico.nb
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
(* Content-type: application/vnd.wolfram.mathematica *)
(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)
(* CreatedBy='Mathematica 9.0' *)
(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[ 157, 7]
NotebookDataLength[ 557998, 11642]
NotebookOptionsPosition[ 527492, 11109]
NotebookOutlinePosition[ 528127, 11131]
CellTagsIndexPosition[ 528020, 11126]
WindowFrame->Normal*)
(* Beginning of Notebook Content *)
Notebook[{
Cell[BoxData[
RowBox[{"\[IndentingNewLine]",
RowBox[{
RowBox[{"April", " ", "2019"}], "\[IndentingNewLine]",
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJztvX+wXdV15wljKKjCVVBF8YcoF8WoyiVVCUeAKZqhSWAGhiaBEEUhhoQU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"], {{0, 299}, {640, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
BaseStyle->"ImageGraphics",
ImageSize->{590., Automatic},
ImageSizeRaw->{640, 299},
PlotRange->{{0, 640}, {0, 299}}], "\[IndentingNewLine]",
ButtonBox[
RowBox[{
RowBox[{"Prof", ".", " ", "dr", ".", " ", "Janko"}], " ",
"Slavi\[CHacek]"}],
BaseStyle->"Hyperlink",
ButtonData->{
URL["http://www.ladisk.si/~slavic"], None},
ButtonNote->"http://www.ladisk.si/~slavic"], "\[IndentingNewLine]",
ButtonBox[
RowBox[{"Repozitorij", " ", "pypinm"}],
BaseStyle->"Hyperlink",
ButtonData->{
URL["http://github.com/jankoslavic/pypinm"], None},
ButtonNote->"http://github.com/jankoslavic/pypinm"]}]}]], "Text",
CellChangeTimes->{{3.661395860310301*^9, 3.6613958987939043`*^9}, {
3.661395979066207*^9, 3.661396001794959*^9}, {3.661396032457633*^9,
3.6613960998976107`*^9}, {3.7644804262249117`*^9, 3.764480443412489*^9}},
TextAlignment->Center,ExpressionUUID->"e865004f-fbe2-4bb7-b2de-f4934fc3c8b5"],
Cell[CellGroupData[{
Cell[TextData[StyleBox["Uvod v Mathematico",
FontSlant->"Italic"]], "Title",
CellChangeTimes->{{3.6061000670580564`*^9, 3.606100074958541*^9}, {
3.6061001959466467`*^9, 3.6061002068224792`*^9}, {3.606111509609539*^9,
3.6061115158079157`*^9}},ExpressionUUID->"b7c29c28-5abe-439f-97a7-\
f49fa7567947"],
Cell["Licen\[CHacek]na verzija za \[SHacek]tudente FS, UNI-LJ", "Subtitle",
CellChangeTimes->{{3.606280865717231*^9, 3.6062808798871746`*^9}, {
3.6613986775226383`*^9,
3.6613986787785563`*^9}},ExpressionUUID->"32dc2d84-6daf-4cc9-9393-\
2d7c3130f5a0"],
Cell[TextData[{
"\[CapitalSHacek]tudentje Fakultete za strojni\[SHacek]tvo, UNI-LJ imate mo\
\[ZHacek]nost pridobiti licen\[CHacek]no verzijo programa ",
StyleBox["Mathematica",
FontSlant->"Italic"],
" na tej ",
ButtonBox["povezavi",
BaseStyle->"Hyperlink",
ButtonData->{
URL["http://www.fs.uni-lj.si/studijska_dejavnost/it_podpora/programska_\
oprema_za_studente/2015071415154271/Registracija%20Mathematica/"], None},
ButtonNote->
"http://www.fs.uni-lj.si/studijska_dejavnost/it_podpora/programska_oprema_\
za_studente/2015071415154271/Registracija%20Mathematica/"],
"."
}], "Text",
CellChangeTimes->{
3.6062809453896084`*^9, {3.6073556272116833`*^9, 3.607355633783331*^9}, {
3.6613962253695965`*^9,
3.6613963149978642`*^9}},ExpressionUUID->"d7a66635-3eaa-414a-bbb4-\
fa20bc8ba8c1"],
Cell[CellGroupData[{
Cell["Uporabni\[SHacek]ki vmesnik", "Subtitle",
CellChangeTimes->{{3.6061000987168207`*^9,
3.6061001074964933`*^9}},ExpressionUUID->"b09832ca-0aa2-4088-aee4-\
b154112256dd"],
Cell["\<\
Format, Palettes, Evaluation,...
pu\[SHacek]\[CHacek]ica dol -> new cell
shift+enter -> evaluate cell
klik na (+)
?Log
Mathemematica vedno posku\[SHacek]a re\[SHacek]iti splo\[SHacek]no in analiti\
\[CHacek]no (razen, \[CHacek]e definiramo druga\[CHacek]e)\
\>", "Text",
CellChangeTimes->{
3.6061001662014437`*^9, {3.606100210490054*^9, 3.606100240295907*^9}, {
3.6061008470245857`*^9, 3.6061009103428173`*^9}, {3.606101275203918*^9,
3.606101277501583*^9}, {3.6061013517730923`*^9, 3.6061013750982804`*^9}, {
3.6061029428107986`*^9,
3.6061029450141125`*^9}},ExpressionUUID->"8bafd410-cbab-42ed-8a7e-\
8548731676e4"]
}, Open ]],
Cell[CellGroupData[{
Cell["Nekatere zna\[CHacek]ilnost", "Subtitle",
CellChangeTimes->{{3.606100396901567*^9, 3.606100409096816*^9}, {
3.606100769281974*^9,
3.6061007784476748`*^9}},ExpressionUUID->"247de7e3-91bd-4e67-b30b-\
689008c8e7d8"],
Cell[CellGroupData[{
Cell["Free-form input", "Subsection",
CellChangeTimes->{{3.606100825088525*^9, 3.606100828612095*^9}, {
3.6061010313442965`*^9,
3.6061010364635754`*^9}},ExpressionUUID->"c3ae06c4-6d7e-4703-b34d-\
aeaf1ed0f894"],
Cell[TextData[{
"cell se za\[CHacek]ne z \[OpenCurlyDoubleQuote]",
StyleBox["=",
FontWeight->"Bold"],
"\[CloseCurlyDoubleQuote], bolj podrobno: wolframAlpha se za\[CHacek]ne z \
\[OpenCurlyDoubleQuote]",
StyleBox["==",
FontWeight->"Bold"],
"\[CloseCurlyDoubleQuote]"
}], "Text",
CellChangeTimes->{{3.6061010391835203`*^9, 3.606101059438413*^9}, {
3.606103711077627*^9, 3.6061037268950424`*^9},
3.606103763523281*^9},ExpressionUUID->"a57260df-2d2e-4ffa-bb81-\
6c967dda4009"],
Cell[CellGroupData[{
Cell[BoxData[
NamespaceBox["WolframAlphaQueryParseResults",
DynamicModuleBox[{Typeset`q$$ = "integrate sin(x)", Typeset`newq$$ =
"integrate sin(x)", Typeset`chosen$$ = "Integrate[Sin[x], x]",
Typeset`open$$ = False},
PaneSelectorBox[{False->
DynamicModuleBox[{WolframAlphaClient`Private`show$$ = False,
WolframAlphaClient`Private`assumptionsQ$$ = False},
TagBox[
FrameBox[
TagBox[GridBox[{
{
InputFieldBox[Dynamic[Typeset`newq$$], String,
Appearance->None,
BaseStyle->{"CalculateInput"},
ContinuousAction->True,
Enabled->True,
FieldSize->{{1, 40}, {1,
DirectedInfinity[1]}},
TrapSelection->False],
ItemBox[
ButtonBox[
PaneSelectorBox[{True->
TagBox[
TooltipBox[
DynamicBox[FEPrivate`FrontEndResource[
"WABitmaps", "OrangeSquarePlus"],
ImageSizeCache->{10., {3., 8.}}],
DynamicBox[
ToBoxes[
FEPrivate`FrontEndResource["WAStrings", "ShowAllResults"],
StandardForm]]],
Annotation[#,
Dynamic[
FEPrivate`FrontEndResource["WAStrings", "ShowAllResults"]],
"Tooltip"]& ], False->
TagBox[
TooltipBox[
DynamicBox[FEPrivate`FrontEndResource[
"WABitmaps", "GraySquarePlus"],
ImageSizeCache->{10., {3., 8.}}],
DynamicBox[
ToBoxes[
FEPrivate`FrontEndResource["WAStrings", "ShowAllResults"],
StandardForm]]],
Annotation[#,
Dynamic[
FEPrivate`FrontEndResource["WAStrings", "ShowAllResults"]],
"Tooltip"]& ]}, Dynamic[WolframAlphaClient`Private`show$$],
ImageSize->All],
Appearance->None,
ButtonFunction:>(Quiet[
WolframAlpha[]]; If[
Or[
CurrentValue["OptionKey"],
CurrentValue["AltKey"]], SelectionMove[
ButtonNotebook[], All, ButtonCell, AutoScroll -> False];
NotebookWrite[
ButtonNotebook[],
Cell[
Typeset`newq$$, "WolframAlphaShort", FormatType ->
"TextForm"], All], Typeset`open$$ = True;
WolframAlphaClient`Private`extrudeFromFastParse[
"integrate sin(x)",
Defer[
Integrate[
Sin[Global`x], Global`x]], "Fast parse"];
Typeset`open$$ = False]),
Evaluator->Automatic,
Method->"Queued"],
Alignment->{Right, Top},
StripOnInput->False]},
{
PaneBox[
TagBox[
TooltipBox[
ButtonBox[
PaneSelectorBox[{False->
StyleBox[
RowBox[{"Integrate", "[",
RowBox[{
RowBox[{"Sin", "[", "x", "]"}], ",", " ", "x"}], "]"}],
StripOnInput->False,
NumberMarks->False], True->
StyleBox[
RowBox[{"Integrate", "[",
RowBox[{
RowBox[{"Sin", "[", "x", "]"}], ",", " ", "x"}], "]"}],
StripOnInput->False,
ShowSyntaxStyles->False,
NumberMarks->False,
FontColor->RGBColor[1, 0.5, 0]]}, Dynamic[
CurrentValue["MouseOver"]],
BaseStyle->{ShowStringCharacters -> True},
FrameMargins->0,
ImageSize->Automatic],
Alignment->Left,
Appearance->None,
BaseStyle->{},
ButtonFunction:>(SelectionMove[
ButtonNotebook[], All, ButtonCell]; NotebookWrite[
ButtonNotebook[],
Cell[
BoxData[
RowBox[{"Integrate", "[",
RowBox[{
RowBox[{"Sin", "[", "x", "]"}], ",", " ", "x"}], "]"}]],
"Input"], All]; SelectionMove[
ButtonNotebook[], After, CellContents]),
Evaluator->Automatic,
ImageSize->Automatic,
Method->"Preemptive"],
DynamicBox[
ToBoxes[
FEPrivate`FrontEndResource["WAStrings", "RemoveResults"],
StandardForm]]],
Annotation[#,
Dynamic[
FEPrivate`FrontEndResource["WAStrings", "RemoveResults"]],
"Tooltip"]& ],
AppearanceElements->{},
BaseStyle->{ShowStringCharacters -> True, ScriptLevel -> 0},
ImageSize->{Automatic, {1, 100}},
Scrollbars->{False, Automatic}], "\[SpanFromLeft]"}
},
AutoDelete->False,
BaselinePosition->{1, 1},
FrameStyle->GrayLevel[0.85],
GridBoxAlignment->{"Columns" -> {{Left}}},
GridBoxDividers->{
"Columns" -> {{False}}, "Rows" -> {False, {True}, False}},
GridBoxItemSize->{
"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}],
"Grid"],
Alignment->Top,
Background->Dynamic[
FEPrivate`If[
FEPrivate`And[
FEPrivate`SameQ[
FEPrivate`Head[Typeset`newq$$], String],
FEPrivate`UnsameQ[Typeset`q$$, Typeset`newq$$]],
RGBColor[1., 0.975, 0.95],
GrayLevel[1]]],
BaselinePosition->Baseline,
FrameStyle->GrayLevel[0.85],
ImageSize->Automatic,
RoundingRadius->5,
StripOnInput->False],
EventHandlerTag[{
"MouseEntered" :>
FEPrivate`Set[WolframAlphaClient`Private`show$$, True], "MouseExited" :>
FEPrivate`Set[WolframAlphaClient`Private`show$$, False],
PassEventsDown -> Automatic, PassEventsUp -> True}]],
DynamicModuleValues:>{}], True->
TagBox[GridBox[{
{
DynamicModuleBox[{WolframAlphaClient`Private`show$$ = False,
WolframAlphaClient`Private`assumptionsQ$$ = False},
TagBox[
FrameBox[
TagBox[GridBox[{
{
InputFieldBox[Dynamic[Typeset`newq$$], String,
Appearance->None,
BaseStyle->{"CalculateInput"},
ContinuousAction->True,
Enabled->True,
FieldSize->{{1, 40}, {1,
DirectedInfinity[1]}},
TrapSelection->False],
ItemBox[
ButtonBox[
PaneSelectorBox[{True->
TagBox[
TooltipBox[
DynamicBox[FEPrivate`FrontEndResource[
"WABitmaps", "OrangeSquarePlus"]],
DynamicBox[
ToBoxes[
FEPrivate`FrontEndResource["WAStrings", "ShowAllResults"],
StandardForm]]],
Annotation[#,
Dynamic[