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la_porcond: Skeel condition number estimate
LAPACK » Linear solve, AX = B » Cholesky: computational routines (factor, cond, etc.)
Collaboration diagram for la_porcond: Skeel condition number estimate:

## Functions

real function | cla_porcond_c (uplo, n, a, lda, af, ldaf, c, capply, info, work, rwork)
| CLA_PORCOND_C computes the infinity norm condition number of op(A)*inv(diag(c)) for Hermitian positive-definite matrices.
real function | cla_porcond_x (uplo, n, a, lda, af, ldaf, x, info, work, rwork)
| CLA_PORCOND_X computes the infinity norm condition number of op(A)*diag(x) for Hermitian positive-definite matrices.
double precision function | dla_porcond (uplo, n, a, lda, af, ldaf, cmode, c, info, work, iwork)
| DLA_PORCOND estimates the Skeel condition number for a symmetric positive-definite matrix.
real function | sla_porcond (uplo, n, a, lda, af, ldaf, cmode, c, info, work, iwork)
| SLA_PORCOND estimates the Skeel condition number for a symmetric positive-definite matrix.
double precision function | zla_porcond_c (uplo, n, a, lda, af, ldaf, c, capply, info, work, rwork)
| ZLA_PORCOND_C computes the infinity norm condition number of op(A)*inv(diag(c)) for Hermitian positive-definite matrices.
double precision function | zla_porcond_x (uplo, n, a, lda, af, ldaf, x, info, work, rwork)
| ZLA_PORCOND_X computes the infinity norm condition number of op(A)*diag(x) for Hermitian positive-definite matrices.

## Detailed Description