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adding dft slides

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Morten Hjorth-Jensen
2023-10-25 15:38:49 +02:00
parent 248fa398fc
commit 9587aff02c
142 changed files with 2211 additions and 3328 deletions
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doc/LectureNotes/_build/html/linalg.html
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@@ -333,6 +333,16 @@ const thebe_selector_output = ".output, .cell_output"
Week 42 Constructing a Neural Network code with introduction to Tensor flow
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="exercisesweek43.html">
Exercises weeks 43 and 44
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="week43.html">
Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations
</a>
</li>
</ul>
<p aria-level="2" class="caption" role="heading">
<span class="caption-text">
@@ -653,8 +663,9 @@ matrices and vectors.</p>
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[-1.0526992 -0.18065292 0.78521833 0.80074264 0.59327016 -1.16492688
0.85276246 -0.04581197 -0.65825344 -0.87931006]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[-8.18243276e-01 -1.33525471e+00 -8.98409646e-01 -7.24434901e-01
2.27832584e+00 -8.78192446e-01 -1.35539164e-03 -7.36097055e-01
-1.06125720e+00 2.86376300e+00]
</pre></div>
</div>
</div>
@@ -875,26 +886,36 @@ as (recall that we user lowercase letters for vectors and uppercase letters for
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[0.80207897 0.22885848 0.14526269 0.91022359 0.76135601 0.52687741
0.68711054 0.01455922 0.70967214 0.47297104]
[0.87431418 0.15724663 0.06301519 0.41894238 0.47364408 0.06406913
0.31588043 0.87953769 0.74731872 0.10490195]
[0.87533326 0.71038664 0.29726695 0.34011629 0.51741855 0.32185967
0.58793527 0.0510594 0.81948868 0.5914397 ]
[0.96850702 0.53558374 0.40512793 0.83443463 0.96618584 0.54644868
0.1871257 0.28585116 0.79035184 0.2171263 ]
[0.46873567 0.91358019 0.28294305 0.03061555 0.86850963 0.19910208
0.16650509 0.07417526 0.42535003 0.98765625]
[0.29588674 0.70249832 0.5364857 0.1036131 0.56249706 0.15827078
0.53515878 0.40182469 0.24828523 0.44402322]
[0.95746721 0.33159476 0.86811569 0.89098129 0.67109613 0.96599594
0.17078905 0.22297358 0.2193546 0.4993133 ]
[0.60675691 0.33800793 0.23780865 0.30914432 0.64695862 0.19717411
0.94400087 0.07404236 0.20967833 0.74391438]
[0.72651548 0.13310008 0.78220032 0.90556496 0.45014 0.19314584
0.71977472 0.97866042 0.53700083 0.10479359]
[0.17829104 0.30129931 0.77203046 0.2707158 0.09391542 0.82988221
0.61480907 0.29282684 0.37667238 0.91086026]]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[3.88960586e-01 2.54050804e-02 9.61246573e-01 4.42642980e-01
4.99344165e-01 8.87477172e-01 2.94785447e-01 4.80006130e-01
8.05206787e-02 9.27743488e-01]
[9.00892604e-01 5.95597666e-01 5.92327822e-01 4.71979573e-01
2.92123586e-01 1.36128659e-01 7.83917436e-01 1.19154013e-01
7.92576742e-01 6.87338811e-01]
[5.40660618e-01 1.11628185e-01 9.46904874e-01 7.61050884e-01
5.94782102e-01 6.61949985e-03 3.01329488e-01 4.26660718e-01
2.07824586e-02 5.75821358e-01]
[7.16539406e-01 8.20261698e-01 5.70328587e-01 5.03331552e-01
9.26331821e-01 6.78989003e-01 9.53683592e-01 1.41471556e-01
3.17934657e-01 2.93828592e-01]
[1.22354860e-01 4.77805840e-01 9.56878976e-01 2.21706540e-01
8.57223110e-01 2.55043852e-01 7.60863613e-01 4.61669885e-01
5.31290061e-01 7.60381656e-01]
[1.68685905e-01 1.26113838e-01 8.15301931e-01 4.38511237e-01
4.42633236e-01 7.28595266e-01 3.30571694e-01 3.15593134e-01
8.22979294e-01 7.32441343e-01]
[5.43608740e-01 2.76181397e-01 6.66722647e-01 7.35434042e-01
2.44020145e-01 2.15352815e-01 1.91487049e-01 6.11137061e-01
2.79167312e-01 2.27230624e-01]
[8.97033646e-02 1.88667234e-01 1.80076024e-01 8.65728698e-01
2.79254918e-01 3.33457718e-01 9.52626194e-01 8.75240336e-01
7.76059447e-01 3.52565509e-01]
[8.49556373e-03 1.50925722e-04 8.98413020e-01 7.49186362e-01
1.90602444e-01 4.79877535e-01 6.10615323e-01 7.78031111e-02
2.39856058e-01 3.20554718e-01]
[2.63843494e-01 1.46306318e-01 7.29933720e-01 5.27826845e-01
1.33857909e-01 3.50359169e-01 4.20020918e-01 8.58581665e-03
5.54378734e-02 8.68351374e-01]]
</pre></div>
</div>
</div>
@@ -954,13 +975,13 @@ covariance matrix through the <strong>np.linalg.eig()</strong> function.</p>
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.016972818397989375
3.9050595316983907
0.11007935789924998
[[ 1.21860973 3.69519297 6.31082439]
[ 3.69519297 12.18993003 19.00431775]
[ 6.31082439 19.00431775 65.3283771 ]]
[72.14421971 0.08339896 6.5092982 ]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.07291818479810824
4.313183599076104
-0.05687021620384533
[[ 0.87810129 2.59703606 2.52470105]
[ 2.59703606 8.59883217 6.83603568]
[ 2.52470105 6.83603568 13.87354403]]
[19.25091007 0.06413187 4.03543554]
</pre></div>
</div>
</div>