Hello,
You can use the eigs routine from ARPACK
http://help.scilab.org/docs/5.5.2/en_US/eigs.html
An example
A = sprand(1000, 1000, 0.02, "normal"); // creates a random sparse matrix
of size 1000 x 1000 and density 0.02
[d, v] = eigs(A, [], 10, "SM"); // computes the 10 smallest eigenvalues
of A
Hope it helps,
Le 10/06/2015 23:11, [email protected] a écrit :
Dear All
I get a Matlab file and I would like to know what is the equivalent to
Matlab:
n = 6;
[u,v]=eigs(K,M,n,'SM'); // where K and U and 2 sparse matrix
//'SM' means Smallest for my understanting -> looking
for the 6th lower eigen values, isn't it ?
Scilab:
Spec or bdiag seems to be equivalent, but I failed in using them
How should I to proceed ?
Thanks
Paul
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