-
Notifications
You must be signed in to change notification settings - Fork 4
/
Copy pathmathe2-hausaufgabe1-plots.nb
1107 lines (1086 loc) · 58.9 KB
/
mathe2-hausaufgabe1-plots.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 8.0' *)
(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[ 157, 7]
NotebookDataLength[ 60082, 1097]
NotebookOptionsPosition[ 59348, 1067]
NotebookOutlinePosition[ 59685, 1082]
CellTagsIndexPosition[ 59642, 1079]
WindowFrame->Normal*)
(* Beginning of Notebook Content *)
Notebook[{
Cell["Aufgabe 1.1 (b)", "Input",
CellChangeTimes->{{3.5441720228470087`*^9, 3.544172034879671*^9},
3.544172075856174*^9},
FormatType->"TextForm"],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Plot", "[",
RowBox[{
FractionBox[
RowBox[{"x", "-",
RowBox[{"ArcTan", "[", "x", "]"}]}],
SuperscriptBox["x", "2"]], ",",
RowBox[{"{",
RowBox[{"x", ",",
RowBox[{"-", "15"}], ",", "15"}], "}"}]}], "]"}]], "Input",
CellChangeTimes->{{3.544172043325561*^9, 3.54417206719978*^9}}],
Cell[BoxData[
GraphicsBox[{{}, {},
{Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwtmHk0lV/7xg0ppCJDk7GI4lCiDN/cT0ghEUmUBhTRbCgNXpWUbyGkpKIo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"]]}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesOrigin->{0, 0},
PlotRange->{{-15, 15}, {-0.22987803154268324`, 0.22987767289093847`}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]}]], "Output",
CellChangeTimes->{3.544172068955553*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"\[IndentingNewLine]",
RowBox[{"Plot", "[",
RowBox[{
SuperscriptBox[
RowBox[{"(",
FractionBox[
RowBox[{"x", "-",
RowBox[{"ArcTan", "[", "x", "]"}]}],
SuperscriptBox["x", "2"]], ")"}],
RowBox[{"Log", "[", "x", "]"}]], ",",
RowBox[{"{",
RowBox[{"x", ",",
RowBox[{"-", "1"}], ",", "5"}], "}"}]}], "]"}]}]], "Input",
CellChangeTimes->{{3.5441720938464613`*^9, 3.544172169552606*^9}}],
Cell[BoxData[
GraphicsBox[{{}, {},
{Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVlWk41PsDxSd7UpafqyJKCqFbKiJxvmlTtlsSdaPIErfI0iIlJK2U3Eq6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"]]}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesOrigin->{0, 0},
PlotRange->{{-1, 5}, {0., 3.002843617348229}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]}]], "Output",
CellChangeTimes->{{3.544172149449424*^9, 3.5441721700573673`*^9}}]
}, Open ]],
Cell["\<\
Aufgabe 1.2 (b)\
\>", "Input",
CellChangeTimes->{{3.5441723047221537`*^9, 3.544172328190428*^9}},
FormatType->"TextForm"],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"\[IndentingNewLine]",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
SuperscriptBox["E",
FractionBox["x", "2"]], "*",
RowBox[{"Sin", "[",
RowBox[{"2", "x"}], "]"}]}], ",",
RowBox[{"{",
RowBox[{"x", ",",
RowBox[{"-", "10"}], ",", "10"}], "}"}]}], "]"}]}]], "Input",
CellChangeTimes->{{3.544172322802395*^9, 3.54417241979996*^9}}],
Cell[BoxData[
GraphicsBox[{{}, {},
{Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVVnc81d8bt/e4xrUvFyUUZZbE+SAzlSSrIrskycheGVlly6ZIVhnZ+ToH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"]],
LineBox[{{6.053552341224216, -9.138799487552863}, {
6.098766399092588, -7.608055912329454}, {
6.104933297542443, -7.387459449080309}, {
6.111100195992298, -7.164300676711137}, {
6.123433992892008, -6.710378061831755}, {
6.148101586691428, -5.772715667957168}, {
6.19743677429027, -3.7833981106265147`}, {6.296107149487952,
0.6018501647322428}, {6.302790002653607, 0.916035429034502}, {
6.309472855819263, 1.2321529291538922`}, {6.322838562150574,
1.8699949799443656`}, {6.349569974813196, 3.1667421041851656`}, {
6.40303280013844, 5.833016777698089}, {6.443386697414246,
7.9176250447751135`}}],
LineBox[{{7.7723558152552625`, 7.9176250447751135`}, {7.774328983956689,
7.7368793369650435`}, {7.800874302188507, 5.239693895544861}, {
7.853964938652144, 0.0016946952843947963`}, {
7.9400023070209444`, -9.138799487552863}}],
LineBox[{{9.382787726125803, -9.138799487552863}, {
9.388510583592765, -7.922357253835122}, {
9.413107095644735, -2.5829966511078895`}, {9.459698437326441,
7.9176250447751135`}}]}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesOrigin->{0, 0},
PlotRange->{{-10, 10}, {-9.138799487552863, 7.9176250447751135`}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]}]], "Output",
CellChangeTimes->{
3.544172354443434*^9, {3.544172391942689*^9, 3.54417242026403*^9}}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"\[IndentingNewLine]",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
SubsuperscriptBox["\[Integral]", "0", "t"],
RowBox[{
SuperscriptBox["E",
FractionBox["x", "2"]], "*",
RowBox[{"Sin", "[",
RowBox[{"2", "x"}], "]"}],
RowBox[{"\[DifferentialD]", "x"}]}]}], ",",
RowBox[{"{",
RowBox[{"t", ",",
RowBox[{"-", "10"}], ",", "10"}], "}"}]}], "]"}]}]], "Input",
CellChangeTimes->{{3.5441724342270403`*^9, 3.544172483736464*^9}, {
3.54417254557724*^9, 3.5441725488327837`*^9}}],
Cell[BoxData[
GraphicsBox[{{}, {},
{Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwV13c8Ve8fAHDZe1x7c4koKpERfU4IlaRFqWwNhKSSCkkSWsiujJKVrCjf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