Comments (3)
stevengj
commented on May 27, 2024
Does SuiteSparse support passing a custom permutation to LU?
from sparsearrays.jl.
jchen975
commented on May 27, 2024
I'll have to look into the UMFPACK source code more carefully (a little busy until next Monday). From the link to the discourse discussion, the lu call in Julia seems to automatically compute a fill-in reduction permutation and ignore the p = amd(A); lu(A[p,p]) permutation...?
Do you happen to know if the lu call in Matlab uses UMFPACK in SuiteSparse directly? In the Matlab code I'm using as a reference, it manually calculates the AMD permutation first, then uses LU to solve for x in Ax=b, which brings a significant improvement in solution time.
from sparsearrays.jl.
andreasnoack
commented on May 27, 2024
It looks like it's supported, see https://github.com/DrTimothyAldenDavis/SuiteSparse/blob/e927f7a3fc82339755482e553df37d932ff30083/UMFPACK/Include/umfpack_qsymbolic.h, but we currently don't wrap these functions.
from sparsearrays.jl.
Related Issues (20)
- Loads of warnings about method redefinitions HOT 2
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- Single precision support in CHOLMOD HOT 3
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- Base.stack is underperforming for SparseArrays HOT 3
- Regression in invalidations caused by SparseArrays HOT 3
- Elementwise multiplication by a view of a dense matrix gives a dense matrix
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- Sparse array of string types HOT 17
- Memory Mapped SparseArrays HOT 3
- Extra allocations when using generalized `mul!` operation
- Attempting to run sparse `qr` produces StackOverflow when run on a sparse matrix of `ForwardDiff.Dual`. HOT 6
- Inconsistent addition between sparse and dense HOT 1
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- Merge SparseMatricesCSR.jl in HOT 2
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