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# 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

include/slepcsvd.h

Index of all SVD routines Table of Contents for all manual pages Index of all manual pages