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(this page)| 2024-12-19 13:10:36 by Jason Bacon | Files touched by this commit (2) |
Log message: math/suitesparse: Unbreak build on Alma 8 Some versions of GCC error out with omp default(none) shared(X) when X is defined as const, stating that shared is predetermined. Since const is only a compile-time check, and the code is already build-tested with const, we can remove it without altering runtime behavior. |
2024-08-27 19:24:54 by Kevin Bloom | Files touched by this commit (3) |  |
Log message: suitesparse: update to 7.8.2 bug fixes |
| 2024-08-13 15:19:13 by Kevin Bloom | Files touched by this commit (3) | |
Log message: suitesparse: update to 7.8.1 fixed bug with building GraphBLAS |
| 2024-08-09 20:38:34 by Kevin Bloom | Files touched by this commit (3) | |
Log message: suitesparse: update to 7.8.0 Packaging Changes: - update to fortran8 (new requirement) - removed -ldl BUILDLINK_TRANSFORM as it was fixed updstream Upstream Changes: - ParU is almost stable - added cholmod_query - various updates to all packages within suitesparse |
| 2024-06-14 15:19:54 by Kevin Bloom | Files touched by this commit (8) | |
Log message:
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
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