I am using LAPACK\'s ssteqr function to calculate eigenvalues/eigenvectors. The do开发者_开发知识库cumentation for ssteqr says that the eigenvalues are sorted \"in ascending order\". Is it reasonable
I\'m trying to write a bit of code that will allow for me to simply generate the volume of a sphere from 6 generated eigen values.
I have a symmetric matrix with the elements A=[8.8191,0,1.0261; 0,3,0; 1.0261,0,3.1809]; I used the eig(A) function in MATLAB , the eigenvalues and eigenvectors are given :
I\'m trying to convert a generalized eigenvalue problem into a normal eigenvalue calculation. I have this code:
I am trying to calculate the eigenvalues and eigenvectors of matrices of different sizes. I am using a piece of very simple Fortran90 code and I am compiling it linking to the appropriate Lapack libra
I have N eigenvalues in column vector form. Thus there are N开发者_StackOverflow中文版 eigenvectors corresponding to these eigenvalues, forming an eigenvector matrix.
Basically I\'m trying to find the eigenvalues for matrix, and it takes about 12 hours. When it finishes, it says it couldn\'t find all the eigenvect开发者_开发百科ors (actually barely any), and I\'m s
I would like to compute the eigenvalues of large-ish matrices (about 1000x1000) using Python 2.6.5. I have been unable to do so quickly. I have not found any other threads addressing this question.
I\'m implementing the system described within this paper, and I\'m getting a little stuck. I only recently encountered tensors/eigenvalues etc so excuse me if this is a lit开发者_如何学运维tle simple!
I want to use the \"princomp\" function of Matlab but this function gives the eigenvalues in a sorted array. This way I can\'t find out to which column corresponds which eigenvalue.
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