lars/FYS-STK4155
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

update

Browse Source
This commit is contained in:
Morten Hjorth-Jensen
2024-10-14 09:13:10 +02:00
parent f1f5b33d5e
commit a7012b5326
140 changed files with 3712 additions and 3488 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/LectureNotes/_build/html/linalg.html
+49 -31
View File
@@ -323,6 +323,16 @@ const thebe_selector_output = ".output, .cell_output"
Week 41 Neural networks and constructing a neural network code
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="exercisesweek42.html">
Exercises week 42
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="week42.html">
Week 42 Constructing a Neural Network code with examples
</a>
</li>
</ul>
<p aria-level="2" class="caption" role="heading">
<span class="caption-text">
@@ -643,8 +653,8 @@ 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>[ 0.03563709 0.57852915 0.83220985 1.27108866 -0.3587467 -0.38713573
-0.09584387 0.5223261 1.7663967 0.94027059]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ 1.34851141 0.11232457 -0.59560497 0.79558423 -0.74632311 0.97068015
1.45921927 0.39225935 -0.87171492 0.44129766]
</pre></div>
</div>
</div>
@@ -865,26 +875,36 @@ 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>[[0.79010601 0.87637891 0.68824222 0.4636751 0.50100007 0.22715479
0.17865868 0.90903158 0.5736973 0.96961052]
[0.57293306 0.96660465 0.65525178 0.52480767 0.70159137 0.30894285
0.11675128 0.60321647 0.68281739 0.64952115]
[0.21833102 0.74761815 0.52789388 0.27530242 0.69463406 0.89961861
0.91864509 0.41794469 0.27403356 0.11416086]
[0.77596142 0.20224027 0.68830164 0.50895251 0.83741078 0.71957514
0.78945959 0.94466211 0.06443054 0.29474356]
[0.39914635 0.22706777 0.23499891 0.9794096 0.33435637 0.28614301
0.21641173 0.16925937 0.79086674 0.41259788]
[0.70408202 0.57833531 0.01817739 0.64689773 0.71380438 0.69311221
0.09930135 0.90168941 0.47308061 0.445128 ]
[0.10100211 0.60575887 0.69824402 0.06423317 0.24582593 0.97235642
0.21181534 0.72033728 0.77014839 0.13298019]
[0.25816519 0.81826799 0.19336703 0.34098895 0.10688434 0.34134773
0.21635399 0.57016227 0.69925648 0.01418766]
[0.80374623 0.58202531 0.71460518 0.66363129 0.02553865 0.7204561
0.34704885 0.52927353 0.02631244 0.02944974]
[0.57080764 0.04516434 0.15388662 0.99458998 0.2765068 0.05148401
0.82259916 0.05648118 0.14249052 0.96164155]]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[6.95039348e-01 4.77602426e-01 4.58218587e-02 7.93416236e-01
9.55643340e-01 7.98621772e-01 4.69806017e-01 1.11371176e-01
6.52359414e-01 4.86833907e-01]
[6.34549184e-01 4.06225028e-01 6.55208611e-01 1.10909182e-02
6.45609936e-01 2.42839645e-01 2.14335140e-01 4.88477745e-01
7.33046180e-01 3.04253288e-01]
[9.24911588e-01 6.09812323e-01 3.17886464e-01 8.85018556e-01
9.82435177e-01 9.43167881e-01 7.43951798e-01 7.31787864e-01
4.80369722e-01 8.57475388e-01]
[1.16436977e-01 8.00829346e-01 3.64493447e-01 4.94082113e-02
5.68163369e-01 4.84993546e-03 2.34121963e-01 2.49849206e-01
3.86274590e-01 8.78949699e-01]
[4.91568958e-01 9.21047414e-02 7.84745063e-01 6.96054705e-01
6.19052323e-02 8.28645331e-01 8.30191327e-01 2.48853875e-01
7.24382159e-01 3.97218946e-01]
[3.79942527e-01 1.36403018e-02 7.08949703e-02 5.98556486e-01
5.10274274e-01 5.86030593e-01 8.96762953e-02 9.27993904e-01
5.79873884e-01 4.12085937e-01]
[4.75733813e-01 3.83164611e-01 9.64968814e-01 2.10369090e-01
6.15338896e-04 5.29509520e-01 4.33492417e-01 9.06496916e-01
1.39646454e-01 4.21846767e-01]
[1.24848631e-01 9.48875568e-01 8.00598510e-01 4.10923006e-01
9.72407267e-01 9.52121734e-01 1.56665044e-01 5.06276815e-01
5.30196557e-01 8.40012736e-01]
[3.25145374e-01 1.83317854e-01 7.66763324e-02 9.66707072e-01
8.23006632e-01 4.30655251e-01 4.69811070e-02 8.72758060e-01
6.59088350e-01 7.28365323e-01]
[5.96282505e-01 9.69432059e-01 1.10687432e-01 9.36439409e-01
1.82212861e-01 9.15905706e-01 4.35826030e-01 3.89219980e-01
4.21786054e-01 4.13799037e-02]]
</pre></div>
</div>
</div>
@@ -944,15 +964,13 @@ 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>0.22370461988004753
4.592766658048914
</pre></div>
</div>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.7163835161938888
[[ 1.11935351 3.19945294 3.19001247]
[ 3.19945294 10.52074297 8.75737136]
[ 3.19001247 8.75737136 16.29078236]]
[23.51532469 0.10801706 4.3075371 ]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.11406297261341168
4.669908227073521
0.2806901924685401
[[ 0.98292239 2.97664837 2.73565966]
[ 2.97664837 10.21905519 8.21690241]
[ 2.73565966 8.21690241 13.03354844]]
[20.77597019 0.09165112 3.36790471]
</pre></div>
</div>
</div>