bundles / scipy latest / scipy / sparse / linalg / _expm_multiply / _condition_3_13

function

`scipy.sparse.linalg._expm_multiply:_condition_3_13`

source: /scipy/sparse/linalg/_expm_multiply.py :561

Signature

def _condition_3_13 ( A_1_norm , n0 , m_max , ell )

Summary

A helper function for the _expm_multiply_* functions.

Parameters

A_1_norm : float: The precomputed 1-norm of A.
n0 : int: Number of columns in the _expm_multiply_* B matrix.
m_max : int: A value related to a bound.
ell : int: The number of columns used in the 1-norm approximation. This is usually taken to be small, maybe between 1 and 5.

Returns

value : bool: Indicates whether or not the condition has been met.

Notes

This is condition (3.13) in Al-Mohy and Higham (2011).

Aliases

scipy.sparse.linalg._expm_multiply._condition_3_13