NAME

zgelsx - routine is deprecated and has been replaced by routine CGELSY


SYNOPSIS

  SUBROUTINE ZGELSX( M, N, NRHS, A, LDA, B, LDB, JPIVOT, RCOND, IRANK, 
 *      WORK, WORK2, INFO)
  DOUBLE COMPLEX A(LDA,*), B(LDB,*), WORK(*)
  INTEGER M, N, NRHS, LDA, LDB, IRANK, INFO
  INTEGER JPIVOT(*)
  DOUBLE PRECISION RCOND
  DOUBLE PRECISION WORK2(*)
  SUBROUTINE ZGELSX_64( M, N, NRHS, A, LDA, B, LDB, JPIVOT, RCOND, 
 *      IRANK, WORK, WORK2, INFO)
  DOUBLE COMPLEX A(LDA,*), B(LDB,*), WORK(*)
  INTEGER*8 M, N, NRHS, LDA, LDB, IRANK, INFO
  INTEGER*8 JPIVOT(*)
  DOUBLE PRECISION RCOND
  DOUBLE PRECISION WORK2(*)

F95 INTERFACE

  SUBROUTINE GELSX( [M], [N], [NRHS], A, [LDA], B, [LDB], JPIVOT, 
 *       RCOND, IRANK, [WORK], [WORK2], [INFO])
  COMPLEX(8), DIMENSION(:) :: WORK
  COMPLEX(8), DIMENSION(:,:) :: A, B
  INTEGER :: M, N, NRHS, LDA, LDB, IRANK, INFO
  INTEGER, DIMENSION(:) :: JPIVOT
  REAL(8) :: RCOND
  REAL(8), DIMENSION(:) :: WORK2
  SUBROUTINE GELSX_64( [M], [N], [NRHS], A, [LDA], B, [LDB], JPIVOT, 
 *       RCOND, IRANK, [WORK], [WORK2], [INFO])
  COMPLEX(8), DIMENSION(:) :: WORK
  COMPLEX(8), DIMENSION(:,:) :: A, B
  INTEGER(8) :: M, N, NRHS, LDA, LDB, IRANK, INFO
  INTEGER(8), DIMENSION(:) :: JPIVOT
  REAL(8) :: RCOND
  REAL(8), DIMENSION(:) :: WORK2

C INTERFACE

#include <sunperf.h>

void zgelsx(int m, int n, int nrhs, doublecomplex *a, int lda, doublecomplex *b, int ldb, int *jpivot, double rcond, int *irank, int *info);

void zgelsx_64(long m, long n, long nrhs, doublecomplex *a, long lda, doublecomplex *b, long ldb, long *jpivot, double rcond, long *irank, long *info);


PURPOSE

zgelsx routine is deprecated and has been replaced by routine CGELSY.

CGELSX computes the minimum-norm solution to a complex linear least squares problem:

    minimize || A * X - B ||

using a complete orthogonal factorization of A. A is an M-by-N matrix which may be rank-deficient.

Several right hand side vectors b and solution vectors x can be handled in a single call; they are stored as the columns of the M-by-NRHS right hand side matrix B and the N-by-NRHS solution matrix X.

The routine first computes a QR factorization with column pivoting: A * P = Q * [ R11 R12 ]

                [  0  R22 ]

with R11 defined as the largest leading submatrix whose estimated condition number is less than 1/RCOND. The order of R11, RANK, is the effective rank of A.

Then, R22 is considered to be negligible, and R12 is annihilated by unitary transformations from the right, arriving at the complete orthogonal factorization:

   A * P = Q * [ T11 0 ] * Z
               [  0  0 ]

The minimum-norm solution is then

   X = P * Z' [ inv(T11)*Q1'*B ]
              [        0       ]

where Q1 consists of the first RANK columns of Q.


ARGUMENTS