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comment	@# @;


1.1
date	2024.06.14.13.19.53;	author ktnb;	state Exp;
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commitid	LgvwM2nY5lzC9XdF;


desc
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1.1
log
@suitesparse: add version 7.7.0

SuiteSparse is a set of sparse matrices libraries.
It contains:
  * AMD: symmetric approximate minimum degree
  * BTF: permutation to block triangular form (beta)
  * CCOLAMD: constrained column approximate minimum degree
  * COLAMD: column approximate minimum degree
  * CHOLMOD: sparse supernodal Cholesky factorization and
    update/downdate
  * KLU: sparse LU factorization, for circuit simulation (beta)
  * LDL: a simple LDL^T factorization
  * UMFPACK: sparse multifrontal LU factorization
  * UFconfig: common configuration for all of the above
  * CSparse: a concise sparse matrix package
  * CXSparse: and extended version of CSparse
@
text
@SuiteSparse is a set of sparse matrices libraries.
It contains:
  * AMD: symmetric approximate minimum degree
  * BTF: permutation to block triangular form (beta)
  * CCOLAMD: constrained column approximate minimum degree
  * COLAMD: column approximate minimum degree
  * CHOLMOD: sparse supernodal Cholesky factorization and
    update/downdate
  * KLU: sparse LU factorization, for circuit simulation (beta)
  * LDL: a simple LDL^T factorization
  * UMFPACK: sparse multifrontal LU factorization
  * UFconfig: common configuration for all of the above
  * CSparse: a concise sparse matrix package
  * CXSparse: and extended version of CSparse
@