scipy.linalg.lapack.clangb#

scipy.linalg.lapack.clangb(norm, kl, ku, ab, ldab=kl + ku + 1) = <flapack function clangb>#

Compute a norm of a banded matrix (LAPACK clangb).

Parameters:

normstr: 'M' for the largest absolute value, '1' or 'O' for the 1-norm, 'I' for the infinity norm, 'F' or 'E' for the Frobenius norm. Lower case is accepted. Note that 'M' is not a consistent matrix norm.
klint: Number of subdiagonals.
kuint: Number of superdiagonals.
abndarray: Band storage of shape (kl + ku + 1, n): a[i, j] is held at ab[ku + i - j, j].
ldabint, optional: Leading dimension of ab, at least kl + ku + 1, which is also the default.

Returns: