- MapdlMath.svd(mat, thresh='', sig='', v='', **kwargs)#
Apply an SVD Algorithm on a matrix.
The SVD algorithm is only applicable to dense matrices. Columns that are linearly dependent on others are removed, leaving the independent or basis vectors. The matrix is resized according to the new size determined by the algorithm.
For the SVD algorithm, the singular value decomposition of an input matrix is a factorization of the form:
M = U*SIGMA*V.T
For more details, see Singular Value Decomposition.
Apply SVD on an existing Dense Rectangular Matrix, using default threshold. The matrix is modified in-place.