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bundles / scipy latest / scipy / sparse / linalg / _dsolve / linsolve / factorized

function

scipy.sparse.linalg._dsolve.linsolve:factorized

source: /scipy/sparse/linalg/_dsolve/linsolve.py :540

Signature

def   factorized ( A )

Summary

Return a function for solving a sparse linear system, with A pre-factorized.

Parameters

A : (N, N) array_like

Input. A in CSC format is most efficient. A CSR format matrix will be converted to CSC before factorization.

Returns

solve : callable

To solve the linear system of equations given in A, the solve callable should be passed an ndarray of shape (N,).

Examples

import numpy as np
from scipy.sparse.linalg import factorized
from scipy.sparse import csc_array
A = np.array([[ 3. ,  2. , -1. ],
              [ 2. , -2. ,  4. ],
              [-1. ,  0.5, -1. ]])
solve = factorized(csc_array(A)) # Makes LU decomposition.
rhs1 = np.array([1, -2, 0])
solve(rhs1) # Uses the LU factors.
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Aliases

  • scipy.sparse.linalg.factorized