Samuel Bernard samubernard
samubernard
/ svd_pca.ipynb
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September 18, 2016 09:09
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samubernard
/ factqr.ipynb
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September 18, 2016 09:08
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samubernard
/ factqr.py
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November 1, 2022 12:08
module python pour factorisation QR avec méthodes de Gram-Schmidt et Householder
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| #!/usr/bin/python2.6 | |
| # -*-coding:Latin-1 -* | |
| from numpy import * | |
| """ | |
| module python pour factorisation QR avec méthodes de Gram-Schmidt et Householder | |
| Algèbre linéaire et matricielle 3BIM INSA Lyon | |
| 2014 v20/11/2014 | |
| """ |
samubernard
/ svd_lowrank.py
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August 29, 2015 14:10
Exemple d'approximation d'une matrice image par des matrices de bas rangs.
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| from numpy import * | |
| # chargez une image stockée dans un tableau (image monocolore) | |
| im = genfromtxt('image.csv') | |
| # Décomposition en valeurs singulières | |
| U, s, Vs = linalg.svd(im, full_matrices=True) | |
| # Dimension des matrices | |
| U.shape |
samubernard
/ methode_puissance.ipynb
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May 14, 2018 13:31
Méthode de la puissance pour le calcul des valeurs propres -- notebook iphyton
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samubernard
/ methode_puissance.py
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December 7, 2015 01:00
Méthode de la puissance pour le calcul des valeurs propres -- code phyton
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| # coding: utf-8 | |
| ## Méthode de la puissance pour le calcul de valeurs propres | |
| # In[1]: | |
| from numpy import * | |
| import matplotlib as plt | |
| import pylab as pl |
samubernard
/ polynome_wilkinson.ipynb
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September 18, 2016 09:07
Exemple de calcul de racines d'un polynôme
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samubernard
/ algo_QR_pur.ipynb
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September 18, 2016 09:07
Exemple algorithme QR pur pour le calcul des valeurs propres
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samubernard
/ tennis_ranking.ipynb
Created
September 18, 2016 08:56
Exemple de classement WTP par vecteur propre dominant
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samubernard
/ fitzhughnagumo_diffusion.m
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January 14, 2023 12:50
FitzHugh-Nagumo equation with diffusion on the variable v, 1D, explicit finite difference method
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| %% FitzHugh-Nagumo avec diffusion 1D | |
| % 1D FitzHugh-Nagumo with diffusion | |
| % parametre des equations | |
| % equation parameters | |
| epsilon = 0.08; | |
| b = 0.7; | |
| c = 0.8; | |
| D = .01; % coefficient de diffusion/diffusion coefficient | |
| I = 0.0; |
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