scipy.linalg.lapack.dppcon

scipy.linalg.lapack.dppcon(n, ap, anorm, lower=0) = <flapack function dppcon>

Estimate the reciprocal condition number of a positive definite matrix in packed storage, from its Cholesky factorization (LAPACK dppcon).

Parameters:

nint

Order of the square matrix.

apndarray

Cholesky factorization in packed storage, as returned by pptrf.

anormfloat

1-norm of the original matrix, which equals its infinity norm here.

lowerint, optional

If nonzero, the lower triangle of a is referenced and the factor is lower triangular; 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.