scipy.linalg.lapack.csycon#
- scipy.linalg.lapack.csycon(a, ipiv, anorm, lower=0) = <flapack function csycon>#
Estimate the reciprocal condition number of a symmetric indefinite matrix from its Bunch-Kaufman factorization (LAPACK
csycon).- Parameters:
- andarray
The factorization, as returned by the corresponding
*trf.- ipivndarray
Pivot indices from the Bunch-Kaufman factorization, 1-based exactly as
sytrf/hetrfreturned them – this group shifts at neither end.- anormfloat
1-norm of the original matrix.
- lowerint, optional
If nonzero, the lower triangle of a is referenced; otherwise the upper. Default is 0.
- Returns:
- rcondfloat
Estimate of the reciprocal condition number.
- infoint
0 on success; if negative, the
-info-th argument had an illegal value.