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zgetc2(l) [redhat man page]

ZGETC2(l)								 )								 ZGETC2(l)

NAME
ZGETC2 - compute an LU factorization, using complete pivoting, of the n-by-n matrix A SYNOPSIS
SUBROUTINE ZGETC2( N, A, LDA, IPIV, JPIV, INFO ) INTEGER INFO, LDA, N INTEGER IPIV( * ), JPIV( * ) COMPLEX*16 A( LDA, * ) PURPOSE
ZGETC2 computes an LU factorization, using complete pivoting, of the n-by-n matrix A. The factorization has the form A = P * L * U * Q, where P and Q are permutation matrices, L is lower triangular with unit diagonal elements and U is upper triangular. This is a level 1 BLAS version of the algorithm. ARGUMENTS
N (input) INTEGER The order of the matrix A. N >= 0. A (input/output) COMPLEX*16 array, dimension (LDA, N) On entry, the n-by-n matrix to be factored. On exit, the factors L and U from the factorization A = P*L*U*Q; the unit diagonal elements of L are not stored. If U(k, k) appears to be less than SMIN, U(k, k) is given the value of SMIN, giving a nonsingular perturbed system. LDA (input) INTEGER The leading dimension of the array A. LDA >= max(1, N). IPIV (output) INTEGER array, dimension (N). The pivot indices; for 1 <= i <= N, row i of the matrix has been interchanged with row IPIV(i). JPIV (output) INTEGER array, dimension (N). The pivot indices; for 1 <= j <= N, column j of the matrix has been interchanged with column JPIV(j). INFO (output) INTEGER = 0: successful exit > 0: if INFO = k, U(k, k) is likely to produce overflow if one tries to solve for x in Ax = b. So U is perturbed to avoid the over- flow. FURTHER DETAILS
Based on contributions by Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden. LAPACK version 3.0 15 June 2000 ZGETC2(l)

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SGETC2(l)								 )								 SGETC2(l)

NAME
SGETC2 - compute an LU factorization with complete pivoting of the n-by-n matrix A SYNOPSIS
SUBROUTINE SGETC2( N, A, LDA, IPIV, JPIV, INFO ) INTEGER INFO, LDA, N INTEGER IPIV( * ), JPIV( * ) REAL A( LDA, * ) PURPOSE
SGETC2 computes an LU factorization with complete pivoting of the n-by-n matrix A. The factorization has the form A = P * L * U * Q, where P and Q are permutation matrices, L is lower triangular with unit diagonal elements and U is upper triangular. This is the Level 2 BLAS algorithm. ARGUMENTS
N (input) INTEGER The order of the matrix A. N >= 0. A (input/output) REAL array, dimension (LDA, N) On entry, the n-by-n matrix A to be factored. On exit, the factors L and U from the factorization A = P*L*U*Q; the unit diagonal elements of L are not stored. If U(k, k) appears to be less than SMIN, U(k, k) is given the value of SMIN, i.e., giving a nonsin- gular perturbed system. LDA (input) INTEGER The leading dimension of the array A. LDA >= max(1,N). IPIV (output) INTEGER array, dimension(N). The pivot indices; for 1 <= i <= N, row i of the matrix has been interchanged with row IPIV(i). JPIV (output) INTEGER array, dimension(N). The pivot indices; for 1 <= j <= N, column j of the matrix has been interchanged with column JPIV(j). INFO (output) INTEGER = 0: successful exit > 0: if INFO = k, U(k, k) is likely to produce owerflow if we try to solve for x in Ax = b. So U is perturbed to avoid the over- flow. FURTHER DETAILS
Based on contributions by Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden. LAPACK version 3.0 15 June 2000 SGETC2(l)
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