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Morten Hjorth-Jensen
2024-10-21 13:45:48 +02:00
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commit de6a6d8bcb
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@@ -343,6 +343,11 @@ const thebe_selector_output = ".output, .cell_output"
Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations
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<li class="toctree-l1">
<a class="reference internal" href="exercisesweek43.html">
Exercises week 43
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<p aria-level="2" class="caption" role="heading">
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@@ -1035,27 +1040,27 @@ uncorrelated.</p>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>3.1284100258440377
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0.60672354 0.17840283 0.22718624 0.32447198]
[ 0.69496248 20.76601702 17.06819354 15.78575679 18.03514117 3.04863792
18.12936913 5.33081484 6.78850066 9.69547403]
[ 0.57120988 17.06819354 14.02884485 12.97477277 14.82360724 2.5057642
14.90105594 4.38155181 5.57966619 7.96899218]
[ 0.52829142 15.78575679 12.97477277 11.99989951 13.70981984 2.31749096
13.78144936 4.05233928 5.16043208 7.37023353]
[ 0.60357007 18.03514117 14.82360724 13.70981984 15.66339452 2.6477208
15.74523085 4.62977556 5.89576555 8.42045168]
[ 0.10202674 3.04863792 2.5057642 2.31749096 2.6477208 0.44756744
2.66155431 0.78261152 0.9966129 1.42338272]
[ 0.60672354 18.12936913 14.90105594 13.78144936 15.74523085 2.66155431
15.82749474 4.65396469 5.92656908 8.4644459 ]
[ 0.17840283 5.33081484 4.38155181 4.05233928 4.62977556 0.78261152
4.65396469 1.36846593 1.7426664 2.48891141]
[ 0.22718624 6.78850066 5.57966619 5.16043208 5.89576555 0.9966129
5.92656908 1.7426664 2.21919019 3.16949234]
[ 0.32447198 9.69547403 7.96899218 7.37023353 8.42045168 1.42338272
8.4644459 2.48891141 3.16949234 4.5267331 ]]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1.792442235218746
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3.96306539 0.81366409 3.49568351 5.17399603]
[ 4.21086655 8.43160097 9.34245275 15.78605212 12.73189536 8.86179614
7.93541793 1.62923495 6.9995589 10.36011695]
[ 4.66575943 9.34245275 10.35170232 17.49139298 14.10730076 9.81912119
8.79266789 1.80523848 7.75570956 11.4793031 ]
[ 7.88378851 15.78605212 17.49139298 29.55541212 23.83727177 16.59148438
14.85707419 3.05033266 13.10491353 19.39671325]
[ 6.35849734 12.73189536 14.10730076 23.83727177 19.22543063 13.38149915
11.98264851 2.46017915 10.56948162 15.64399519]
[ 4.4257124 8.86179614 9.81912119 16.59148438 13.38149915 9.31394064
8.34029698 1.71236139 7.35668876 10.88870842]
[ 3.96306539 7.93541793 8.79266789 14.85707419 11.98264851 8.34029698
7.46843429 1.5333577 6.58764871 9.75044457]
[ 0.81366409 1.62923495 1.80523848 3.05033266 2.46017915 1.71236139
1.5333577 0.31481643 1.35252202 2.00188134]
[ 3.49568351 6.9995589 7.75570956 13.10491353 10.56948162 7.35668876
6.58764871 1.35252202 5.81073808 8.60053139]
[ 5.17399603 10.36011695 11.4793031 19.39671325 15.64399519 10.88870842
9.75044457 2.00188134 8.60053139 12.72973232]]
</pre></div>
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@@ -1323,15 +1328,15 @@ more practically oriented methods like the blocking technique.</p>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.029114513319594925
4.012687664954397
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0.8800906083513416 8.622777986360822 8.409131380658218
2.5686930390258937 2.11634286035477 5.981554571728081
[[0.88009061 2.56869304 2.11634286]
[2.56869304 8.62277799 5.98155457]
[2.11634286 5.98155457 8.40913138]]
[15.26310762 0.08312573 2.56576662]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.03309100631504689
4.053690173865474
0.19676409012950763
0.9238126238237127 9.751549347323406 13.02381502730822
2.8153623169095896 2.4608605587175947 7.2634338084990535
[[ 0.92381262 2.81536232 2.46086056]
[ 2.81536232 9.75154935 7.26343381]
[ 2.46086056 7.26343381 13.02381503]]
[19.56094738 0.08771271 4.05051691]
</pre></div>
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@@ -1661,7 +1666,7 @@ assumption for approximating <span class="math notranslate nohighlight">\(\sigma
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.015101938515449663 0.9784055938098051
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.01754817104095514 0.9184060613261256
</pre></div>
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