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Releases: SciML/LinearSolve.jl

v2.0.0

01 Jun 23:41
6169a76
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LinearSolve v2.0.0

Diff since v1.42.0

Closed issues:

  • Factorization runs twice for sparse matrices (#179)
  • Cache issues with sequential calls to solve (#199)
  • QRFactorization causes change in the cacheval after solve (#299)
  • solving the same problem twice is broken (#302)

Merged pull requests:

v1.42.0

05 Apr 14:22
98f260d
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LinearSolve v1.42.0

Diff since v1.41.1

Closed issues:

  • Better initialization for most factorizations (#67)
  • Phantom allocations: need to define effects? (#245)
  • precompilation warning (#293)

Merged pull requests:

v1.41.1

31 Mar 10:36
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LinearSolve v1.41.1

Diff since v1.41.0

v1.41.0

26 Mar 07:41
af79d26
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LinearSolve v1.41.0

Diff since v1.40.0

Closed issues:

  • Solving tall, sparse linear systems is insanely slow (#283)
  • Sparse QR doesn't work with 'view' (#287)

Merged pull requests:

v1.40.0

25 Mar 00:00
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LinearSolve v1.40.0

Diff since v1.39.0

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v1.39.0

24 Mar 22:14
a5b11d7
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LinearSolve v1.39.0

Diff since v1.38.0

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v1.38.0

04 Mar 15:02
2a1c614
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LinearSolve v1.38.0

Diff since v1.37.0

Closed issues:

  • Use AbstractSparseMatrixCSC in the API (#190)

Merged pull requests:

v1.37.0

20 Feb 14:39
13d3d25
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LinearSolve v1.37.0

Diff since v1.36.0

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v1.36.0

18 Feb 16:16
a7b7d2b
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LinearSolve v1.36.0

Diff since v1.35.0

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v1.35.0

05 Feb 22:42
c8e1358
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LinearSolve v1.35.0

Diff since v1.34.1

Closed issues:

  • LinearSolve fails to precompile on julia 1.8.5 (#266)
  • Make issquare extend SciMLOperators.issquare (#268)

Merged pull requests:

  • CompatHelper: bump compat for CUDA to 4 for package LinearSolveCUDA, (keep existing compat) (#267) (@github-actions[bot])
  • Support SciMLOperators in LinearSolve (#270) (@vpuri3)