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1 .. 4.3 LO: Matrices (3) [anoop] |
1 .. Objectives |
2 .. ----------------------------- |
2 .. ---------- |
3 .. * creating matrices |
3 |
4 .. + direct data |
4 .. At the end of this tutorial, you will be able to |
5 .. + list conversion |
5 |
6 .. + builtins - identitiy, zeros, |
6 .. 1. Create matrices using data. |
7 .. * matrix operations |
7 .. #. Create matrices from lists. |
8 .. + + - * / |
8 .. #. Basic matrix operations. |
9 .. + dot |
9 .. #. Use ``inv()`` function to find inverse of a matrix. |
10 .. + inv |
10 .. #. Use ``det()`` function to find determinant of a matrix. |
11 .. + det |
11 .. #. Use ``eig()`` and ``eigvals()`` functions to find eigen values |
12 .. + eig |
12 and vectors |
13 .. + norm |
13 .. #. Use ``norm()`` function to find norm of a matrix. |
14 .. + svd |
14 .. #. Use ``svd()`` function to find singular value decomposition of a |
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15 matrix. |
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16 |
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17 |
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18 .. Prerequisites |
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19 .. ------------- |
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20 |
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21 .. 1. should have ``ipython`` and ``pylab`` installed. |
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22 .. #. getting started with ``ipython``. |
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23 .. #. getting started with lists. |
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24 .. #. getting started with arrays. |
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25 .. #. accessing part of arrays. |
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26 |
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27 |
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28 .. Author : Anoop Jacob Thomas <anoop@fossee.in> |
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29 Internal Reviewer : |
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30 External Reviewer : |
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31 Checklist OK? : <put date stamp here, if OK> [2010-10-05] |
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32 |
15 |
33 |
16 ======== |
34 ======== |
17 Matrices |
35 Matrices |
18 ======== |
36 ======== |
19 {{{ show the welcome slide }}} |
37 {{{ show the welcome slide }}} |