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SuiteSparse 7.4.0 Makefile and README
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Makefile

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# Makefile for all SuiteSparse packages
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#-------------------------------------------------------------------------------
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# Copyright (c) 2023, Timothy A. Davis, All Rights Reserved.
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# Just this particular file is under the Apache-2.0 license; each package has
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# its own license.
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# SPDX-License-Identifier: Apache-2.0
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# edit this variable to pass options to cmake:
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export CMAKE_OPTIONS ?=
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README.md

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SuiteSparse: A Suite of Sparse matrix packages at http://suitesparse.com
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-----------------------------------------------------------------------------
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Nov 30, 2023, SuiteSparse VERSION 7.4.0
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Dec 30, 2023, SuiteSparse VERSION 7.4.0
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SuiteSparse is a set of sparse-matrix-related packages written or co-authored
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by Tim Davis, available at https://github.com/DrTimothyAldenDavis/SuiteSparse .
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an unmodified copy METIS.
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ParU a parallel unsymmetric pattern multifrontal method.
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Currently a pre-release.
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authors: Mohsen Aznaveh and Tim Davis
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RBio read/write sparse matrices in Rutherford/Boeing format
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SPQR sparse QR factorization. This the built-in qr and x=A\b in
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MATLAB. Also called SuiteSparseQR.
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Includes two GPU libraries: SPQR/GPUQREngine and
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SPQR/SuiteSparse_GPURuntime.
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author of the CPU code: Tim Davis
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author of GPU modules: Tim Davis, Nuri Yeralan,
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Wissam Sid-Lakhdar, Sanjay Ranka
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GPUQREngine: GPU support package for SPQR
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Not needed if CUDA is not enabled.
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authors: Tim Davis, Nuri Yeralan, Sanjay Ranka,
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Wissam Sid-Lakhdar
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SuiteSparse_config configuration file for all the above packages.
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CSparse and MATLAB_Tools do not use SuiteSparse_config.
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author: Tim Davis
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SuiteSparse_GPURuntime GPU support package for SPQR and CHOLMOD
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Not needed if CUDA is not enabled.
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SuiteSparse_install.m install SuiteSparse for MATLAB
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SuiteSparse_paths.m set paths for SuiteSparse MATLAB mexFunctions
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