CLA_GERPVGRW multiplies a square real matrix by a complex matrix.
CLA_GERPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U). The "max absolute element" norm is used. If this is much less than 1, the stability of the LU factorization of the (equilibrated) matrix A could be poor. This also means that the solution X, estimated condition numbers, and error bounds could be unreliable.
N is INTEGER The number of linear equations, i.e., the order of the matrix A. N >= 0.
NCOLS is INTEGER The number of columns of the matrix A. NCOLS >= 0.
A is COMPLEX array, dimension (LDA,N) On entry, the N-by-N matrix A.
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,N).
AF is COMPLEX array, dimension (LDAF,N) The factors L and U from the factorization A = P*L*U as computed by CGETRF.
LDAF is INTEGER The leading dimension of the array AF. LDAF >= max(1,N).
Univ. of California Berkeley
Univ. of Colorado Denver
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