Linear Least Squares (LLS) Problems: LAPACK Driver Routines

This topic describes LAPACK driver routines used for solving linear least squares problems. Table "Driver Routines for Solving LLS Problems" lists all such routines for the FORTRAN 77 interface. The corresponding routine names in the Fortran 95 interface are without the first symbol.

Driver Routines for Solving LLS Problems
Routine Name	Operation performed
gels	Uses QR or LQ factorization to solve a overdetermined or underdetermined linear system with full rank matrix.
gelsy	Computes the minimum-norm solution to a linear least squares problem using a complete orthogonal factorization of A.
gelss	Computes the minimum-norm solution to a linear least squares problem using the singular value decomposition of A.
gelsd	Computes the minimum-norm solution to a linear least squares problem using the singular value decomposition of A and a divide and conquer method.
getsls	Solves overdetermined or underdetermined real linear systems involving a matrix or its transpose using a tall skinny QR or short wide LQ factorization.