zlag2c (l) - Linux Manuals

zlag2c: converts a COMPLEX*16 matrix, SA, to a COMPLEX matrix, A

NAME

ZLAG2C - converts a COMPLEX*16 matrix, SA, to a COMPLEX matrix, A

SYNOPSIS

SUBROUTINE ZLAG2C(
M, N, A, LDA, SA, LDSA, INFO )

    
INTEGER INFO, LDA, LDSA, M, N

    
COMPLEX SA( LDSA, * )

    
COMPLEX*16 A( LDA, * )

PURPOSE

ZLAG2C converts a COMPLEX*16 matrix, SA, to a COMPLEX matrix, A. RMAX is the overflow for the SINGLE PRECISION arithmetic
ZLAG2C checks that all the entries of A are between -RMAX and RMAX. If not the convertion is aborted and a flag is raised. This is an auxiliary routine so there is no argument checking.

ARGUMENTS

M (input) INTEGER
The number of lines of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
A (input) COMPLEX*16 array, dimension (LDA,N)
On entry, the M-by-N coefficient matrix A.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
SA (output) COMPLEX array, dimension (LDSA,N)
On exit, if INFO=0, the M-by-N coefficient matrix SA; if INFO>0, the content of SA is unspecified.
LDSA (input) INTEGER
The leading dimension of the array SA. LDSA >= max(1,M).
INFO (output) INTEGER
= 0: successful exit.
= 1: an entry of the matrix A is greater than the SINGLE PRECISION overflow threshold, in this case, the content of SA in exit is unspecified. ========= End of ZLAG2C

Pages related to zlag2c

  • zlag2c (3)
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  • zlagtm (l) - performs a matrix-vector product of the form B := alpha * A * X + beta * B where A is a tridiagonal matrix of order N, B and X are N by NRHS matrices, and alpha and beta are real scalars, each of which may be 0., 1., or -1
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  • zla_gbrcond_c (l) - ZLA_GBRCOND_C Compute the infinity norm condition number of op(A) * inv(diag(C)) where C is a DOUBLE PRECISION vector
  • zla_gbrcond_x (l) - ZLA_GBRCOND_X Compute the infinity norm condition number of op(A) * diag(X) where X is a COMPLEX*16 vector
  • zla_gbrfsx_extended (l) - computes ..
  • zla_geamv (l) - performs one of the matrix-vector operations y := alpha*abs(A)*abs(x) + beta*abs(y),