Hello all I have to solve for X in AX=B where A, X and B are matrices. Unfortunately A is a ``fat" matrix i.e. more number of columns than rows. The help page for SVD http://www.gnu.org/software/gsl/manual/html_node/Singular-Value-Decomposition.html states that the code only solves systems for systems that have more rows than columns. Please advise as to what can be done about it.
I am trying to solve for the weights of a radial basis function network designed for interpolation problems i.e. as many hidden neurons as there are training patterns. Are there plans of including neural network and genetic algorithms in GSL? _______________________________________________ Help-gsl mailing list [email protected] http://lists.gnu.org/mailman/listinfo/help-gsl
