I have a column stochastic matrix A(n-by-n real, non-negative matrix) and want to solve the following equation in C++: Ax=x
W is a tall and skinny real valued matrix, and diag(S) is a diagonal matrix consists of +1 or -1 on the diagonal. I want the eigen decomposition of A = W * diag(S) * W\' where single quote denotes tra
I use EmguCV library(openCV wrapper) on C# to implemented face detection and facial recognition using Eigenface algorithm
I am trying to find a program in C code that will allow me to compute a eigenvalue (spectral) decomposition for a square matrix. I am specifically trying to find code where the highest eigenvalue (and
I am new to programming and I am trying to calculate the eigenvector centrality of an directed graph mapping onto a social network. These are large matrices. I know how to calculate eigenvectors and t
In MATLAB, when I run the command [V,D] = eig(a) for a symmetric matrix, the largest eigenvalue (and its associated vector) is located in last column. However, when I run it with a non-symmetric matri
which java package do you recommend for computing eigenvectors/eigenvalues? I kno开发者_如何学Pythonw about JMathTools and JAMA; do you have some pro/cons for these packages? Other suggestions?For a m
I have an unsorted vector of eigenvalues and a related matrix of eigenvectors. I\'d like to sort t开发者_C百科he columns of the matrix with respect to the sorted set of eigenvalues. (e.g., if eigenval
Does any know what is the algorithm used for eigenvalues and eigenvectors computatio开发者_运维问答n in Intel Math Kernel library? From the link I can find is that it seems to use pdsyev algorithm, wh
I have this matrix A, representing similarities of pixel intensities of an image. For example: Consider a 10 x 10 image. Matrix A in this case would be of dimension 100 x 100, and element A(i,j) would
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