Singular Value Decomposition

This topic describes LAPACK driver routines used for solving singular value problems. See also computational routines that can be called to solve these problems. Table "Driver Routines for Singular Value Decomposition" lists all such driver routines for the FORTRAN 77 interface. The corresponding routine names in the Fortran 95 interface are without the first symbol.

Driver Routines for Singular Value Decomposition

Routine Name

Operation performed

gesvd

Computes the singular value decomposition of a general rectangular matrix.

gesdd

Computes the singular value decomposition of a general rectangular matrix using a divide and conquer method.

gejsv

Computes the singular value decomposition of a real matrix using a preconditioned Jacobi SVD method.

gesvj

Computes the singular value decomposition of a real matrix using Jacobi plane rotations.

ggsvd

Computes the generalized singular value decomposition of a pair of general rectangular matrices.

For more complete information about compiler optimizations, see our Optimization Notice.