SVD_GENERALIZED#
A generalized singular value problem (GSVD).
Note#
The problem is formulated as \(U^*AX=C\), \(V^*BX=S\), where \(A\) and \(B\) have the same number of columns.
See Also#
SVD: Singular Value Decomposition, SVDProblemType, SVDSetProblemType(), SVD_STANDARD, SVD_HYPERBOLIC
Level#
beginner
Location#
Index of all SVD routines Table of Contents for all manual pages Index of all manual pages