H
Han Solo
Hi,
I need a c++ library, that can calculate a Singular Value
Decomposition for a Matrix A that has more columns then rows. m < n !
I have already tried TNT with Jama, and LinAlg. Both packages can only
calculate the SVD for m>=n!
If this is not implemented yet in C++, can somebody give me a recipe
for this algorithm, or a possibility how to modify the SVD algoritm
for m>=n to get it to work with m<n. I need both the U and the V
Matrix.
Thanks for any help.
han
I need a c++ library, that can calculate a Singular Value
Decomposition for a Matrix A that has more columns then rows. m < n !
I have already tried TNT with Jama, and LinAlg. Both packages can only
calculate the SVD for m>=n!
If this is not implemented yet in C++, can somebody give me a recipe
for this algorithm, or a possibility how to modify the SVD algoritm
for m>=n to get it to work with m<n. I need both the U and the V
Matrix.
Thanks for any help.
han