Shunya Ueta hurutoriya

## Gaussian kernel animation.ipynb

      
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                hurutoriya
                / Gaussian kernel animation.ipynb
            
            
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              February 8, 2017 03:13
            
              
                Gaussian Kerne animation by Python3
              
          
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## nb_1.ipynb

      
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                hurutoriya
                / nb_1.ipynb
            
            
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              February 2, 2017 02:29
            
              
                nbdime example
              
          
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## weightedAverage.m
function [weightedAve] = weightedAverage(data)
  h = histogram(data);
  k = ([min(data):max(data)]*h.Values')/length(data)
end

## filename_aveimage4GKLT.py
import os, numpy, PIL
from PIL import Image


def all_image_file_name():
    allfiles = os.listdir(os.getcwd())
    # discriminate the JPEG format
    imlist = [filename for filename in allfiles if filename.split(".")[-1] in ["jpg", "jpeg", "JPG"]]

    image_file_list = "\n".join(imlist)

## preconditioning_tips.m
% be the symmetric matrix on computing enviroment.
% Twice A, divide 2.
A = 0.5*(A+A')
% Add upper triangle of A(include diagenal element) to lower triangle matrix of A.
A = triu(A)+triu(A,1)'

## power_iteration.m
res = 10^(-13);
A = [[1, 2, 0];
    [2, 1, 1];
    [0, 1, 0];]
[V, D] =eig(A)
eigen_value = diag(D);
norm(A*V(:,3)-eigen_value(3)*V(:,3))
x = [1; 0; 0]

ite = 0;

## power_iteration.m
n = 5;
res = 10^(-13);

A = rand(n,n);
A = A'+A;

x = rand(n,1)
x_1 = A*x;
ite = 0;
while res < abs(norm(x_1)-norm(x))

## compare_variance_of_gaussian_kernel_in_graph.ipynb

      
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                hurutoriya
                / compare_variance_of_gaussian_kernel_in_graph.ipynb
            
            
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              February 9, 2016 15:10
            
              
                localscale vs empiric value in variance value of Gaussian kernel..ipynb
              
          
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## Note.ipynb

      
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                hurutoriya
                / Note.ipynb
            
            
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              February 2, 2016 05:24
            
              
                IPython Date Science Cook Book
              
          
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## how-to-public-jupuyernotebook-on-remote-server.md

      
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                hurutoriya
                / how-to-public-jupuyernotebook-on-remote-server.md
            
            
              Last active
              January 29, 2016 05:00
            
              
                How to public jupuyernotebook on remote server?
              
          
    Access to remote server. and we user PYENV for set up python environment.
$ ssh your_remote_server
$ git clone https://github.com/yyuu/pyenv.git ~/.pyenv
$ vim .zshrc

export PYENV_ROOT=$HOME/.pyenv
export PATH=$PYENV_ROOT/bin:$PATH
	function [weightedAve] = weightedAverage(data)
	h = histogram(data);
	k = ([min(data):max(data)]*h.Values')/length(data)
	end
	import os, numpy, PIL
	from PIL import Image


	def all_image_file_name():
	allfiles = os.listdir(os.getcwd())
	# discriminate the JPEG format
	imlist = [filename for filename in allfiles if filename.split(".")[-1] in ["jpg", "jpeg", "JPG"]]

	image_file_list = "\n".join(imlist)
	% be the symmetric matrix on computing enviroment.
	% Twice A, divide 2.
	A = 0.5*(A+A')
	% Add upper triangle of A(include diagenal element) to lower triangle matrix of A.
	A = triu(A)+triu(A,1)'
	res = 10^(-13);
	A = [[1, 2, 0];
	[2, 1, 1];
	[0, 1, 0];]
	[V, D] =eig(A)
	eigen_value = diag(D);
	norm(AV(:,3)-eigen_value(3)V(:,3))
	x = [1; 0; 0]

	ite = 0;
	n = 5;
	res = 10^(-13);

	A = rand(n,n);
	A = A'+A;

	x = rand(n,1)
	x_1 = A*x;
	ite = 0;
	while res < abs(norm(x_1)-norm(x))