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#------------------------------------------------------------------------------- | ||
# SPEX/Python/SPEXpy/cholesky_backslash.py: solve Ax=b using Cholesky factorization | ||
#------------------------------------------------------------------------------- | ||
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# SPEX: (c) 2022-2024, Christopher Lourenco, Jinhao Chen, | ||
# Lorena Mejia Domenzain, Erick Moreno-Centeno, and Timothy A. Davis. | ||
# All Rights Reserved. | ||
# SPDX-License-Identifier: GPL-2.0-or-later or LGPL-3.0-or-later | ||
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#------------------------------------------------------------------------------ | ||
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from .Options import Options | ||
from .SPEX_error import * | ||
from .spex_connect import spex_connect | ||
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import scipy | ||
from scipy.sparse import isspmatrix, isspmatrix_csc, linalg | ||
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def cholesky_backslash( A, b, options=Options('double', 'amd')): | ||
## A is a scipy.sparse(data must be float64) #technically it only needs to be numerical | ||
## b is a numpy.array (data must be float64) | ||
## options is a dictionary that specifies what tipe the solution should be, this by default is double | ||
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##-------------------------------------------------------------------------- | ||
## Verify inputs | ||
##-------------------------------------------------------------------------- | ||
if not isspmatrix(A): | ||
raise SPEXerror(determine_error(3)) | ||
## If the sparse input matrix is not in csc form, convert it into csc form | ||
if not isspmatrix_csc(A): | ||
A.tocsc() | ||
## Check symmetry | ||
tol=1e-8 | ||
if linalg.norm(A-A.T, scipy.Inf) > tol: | ||
raise SPEX_error(determine_error(-4)) | ||
# Check input shape | ||
if A.shape[1]!=b.shape[0]: | ||
raise SPEX_error(determine_error(-3)) | ||
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if options.ordering==None: | ||
options.default_chol() | ||
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##-------------------------------------------------------------------------- | ||
## Call SPEX | ||
##-------------------------------------------------------------------------- | ||
x=spex_connect(A,b,options.order(),options.charOut(),4) #4 calls the LDL factorization | ||
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return x | ||
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