scipy.sparse.linalg.factorized

scipy.sparse.linalg.factorized(A)

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

solvecallable

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

Examples

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