ComputeSVD

This module computes the singular value decomposition (SVD) of a matrix.

Detailed Description

This module takes a matrix as input, converts it to a dense matrix, computes its SVD, and outputs its three SVD matrices. The three matrices are the left singular vectors (stored in the columns of ‘LeftSingularMat’), singular values (in decreasing order, stored in the column matrix “SingularVals”), and the right singular vectors (stored in the rows of “RightSingularMat”). The number of elements in “SingularVals” is equal to the smallest dimension of the input matrix.

This module requires a version of SCIRun built with LAPACK support.