Sourced from LinearSolve's releases.

v5.0.0

LinearSolve v5.0.0

Diff since v3.86.1

Breaking changes

1. Reading .cache off the return of solve!/solve no longer works — it is always nothing.
   • Affected downstream: OrdinaryDiffEq (threads linres.cache through chained solves in 6 files) — a parallel PR migrates it off the pattern and must merge before 5.0 releases. NonlinearSolve reads only .u/.retcode and is unaffected (verified below). LinearSolve internals never read sol.cache.
   • Migration: keep the LinearCache you called solve! on:

     # before                                   # after
     sol = solve!(cache)                        sol = solve!(cache)
     linsolve = sol.cache                       linsolve = cache

     For one-shot solve(prob, alg) where you previously continued via sol.cache, switch to cache = init(prob, alg); sol = solve!(cache).
2. cleanup_petsc_cache!(sol::LinearSolution), cleanup_mumps_cache!(sol::LinearSolution), cleanup_superludist_cache!(sol::LinearSolution) methods are removed (they read sol.cache.cacheval). Use the LinearCache methods from an init/solve! cycle: cleanup_*_cache!(cache). GC finalizers remain as the safety net for one-shot solve(prob, alg). Docstrings, docs pages, and the extension test suites are migrated accordingly.
3. Sublibrary/test compat bumps: LinearSolve = "5" in lib/LinearSolveAutotune (→ 1.13.0), lib/LinearSolvePyAMG (→ 1.3.0), docs/, and all test/*/Project.toml.

Merged pull requests:

• QA: run_qa v1.6 form + ExplicitImports (root + sublibs) (#1059) (@​ChrisRackauckas-Claude)
• Use separate cache flags for A and b in ForwardDiff extension (rebased #1054 + test) (#1062) (@​ChrisRackauckas-Claude)
• Improve ForwardDiff sparse matrix specialization and add tests (#1063) (@​hersle)
• Cache inner LinearCache in DualLinearCache in direct dual path (#1065) (@​hersle)
• docs: document symbolic factorization reuse for sparse matrices (#1060) (#1067) (@​ChrisRackauckas-Claude)
• Fix Downgrade: raise MKL_jll compat floor to 2022.2 (#1068) (@​ChrisRackauckas-Claude)
• Route duals-in-b PureKLU solves to a native LinearCache (uses PureKLU 1.1 mixed ldiv!) (#1069) (@​ChrisRackauckas-Claude)
• Add EigenvalueProblem support with dense, Arpack, ArnoldiMethod, KrylovKit, and JacobiDavidson backends (#1071) (@​AJ0070)
• Batched (matrix) right-hand sides: LinearProblem(A, B) ≡ A \ B (v4.0.0) (#1072) (@​ChrisRackauckas-Claude)
• Fix PureKLU Dual-A dispatch stolen by DualBLinearProblem opt-out (#1073) (@​ChrisRackauckas-Claude)
• Batched RHS via Krylov.jl block methods (GMRES/MINRES) (#1074) (@​ChrisRackauckas-Claude)
• Fix dense LU cache prototypes for wrapper matrices (#1076) (@​ChrisRackauckas)
• Document public API coverage (#1077) (@​ChrisRackauckas-Claude)
• GESVFactorization + dense LU pivot-buffer reuse (v4.2.0) (#1078) (@​ChrisRackauckas-Claude)
• Bump version to 4.2.1 (#1079) (@​ChrisRackauckas)
• ci: use targeted monorepo TagBot (#1080) (@​ChrisRackauckas-Claude)
• Qualify issuccess as LinearAlgebra.issuccess to fix QA ExplicitImports failure (#1081) (@​ChrisRackauckas-Claude)
• Complete allocation-free dense LU refactorization: generic-kernel pivot reuse + regression tests (#1082) (@​ChrisRackauckas-Claude)
• LinearSolve 5.0: lightweight solutions — stop populating LinearSolution.cache in solve! returns (#1083) (@​ChrisRackauckas-Claude)
• Fix singular handling in the StaticArrays square fast path with SVD rescue for the default (#1085) (@​ChrisRackauckas-Claude)

Closed issues:

• Batch mode (#552)
• ForwardDiff autodiff with PureKLUFactorization is very slow through implicit ODE solver (#1064)
• LinearSolve v3.85.2+ broke dense implicit ODE solves with ComponentArray u0 (#1075)
• Static LU path returns retcode Success with Inf/NaN solution on singular SMatrix (#1084)

• See full diff in compare view

Sourced from LinearSolve's releases.

v5.0.0

LinearSolve v5.0.0

Diff since v3.86.1

Breaking changes

1. Reading .cache off the return of solve!/solve no longer works — it is always nothing.
   • Affected downstream: OrdinaryDiffEq (threads linres.cache through chained solves in 6 files) — a parallel PR migrates it off the pattern and must merge before 5.0 releases. NonlinearSolve reads only .u/.retcode and is unaffected (verified below). LinearSolve internals never read sol.cache.
   • Migration: keep the LinearCache you called solve! on:

     # before                                   # after
     sol = solve!(cache)                        sol = solve!(cache)
     linsolve = sol.cache                       linsolve = cache

     For one-shot solve(prob, alg) where you previously continued via sol.cache, switch to cache = init(prob, alg); sol = solve!(cache).
2. cleanup_petsc_cache!(sol::LinearSolution), cleanup_mumps_cache!(sol::LinearSolution), cleanup_superludist_cache!(sol::LinearSolution) methods are removed (they read sol.cache.cacheval). Use the LinearCache methods from an init/solve! cycle: cleanup_*_cache!(cache). GC finalizers remain as the safety net for one-shot solve(prob, alg). Docstrings, docs pages, and the extension test suites are migrated accordingly.
3. Sublibrary/test compat bumps: LinearSolve = "5" in lib/LinearSolveAutotune (→ 1.13.0), lib/LinearSolvePyAMG (→ 1.3.0), docs/, and all test/*/Project.toml.

Merged pull requests:

• QA: run_qa v1.6 form + ExplicitImports (root + sublibs) (#1059) (@​ChrisRackauckas-Claude)
• Use separate cache flags for A and b in ForwardDiff extension (rebased #1054 + test) (#1062) (@​ChrisRackauckas-Claude)
• Improve ForwardDiff sparse matrix specialization and add tests (#1063) (@​hersle)
• Cache inner LinearCache in DualLinearCache in direct dual path (#1065) (@​hersle)
• docs: document symbolic factorization reuse for sparse matrices (#1060) (#1067) (@​ChrisRackauckas-Claude)
• Fix Downgrade: raise MKL_jll compat floor to 2022.2 (#1068) (@​ChrisRackauckas-Claude)
• Route duals-in-b PureKLU solves to a native LinearCache (uses PureKLU 1.1 mixed ldiv!) (#1069) (@​ChrisRackauckas-Claude)
• Add EigenvalueProblem support with dense, Arpack, ArnoldiMethod, KrylovKit, and JacobiDavidson backends (#1071) (@​AJ0070)
• Batched (matrix) right-hand sides: LinearProblem(A, B) ≡ A \ B (v4.0.0) (#1072) (@​ChrisRackauckas-Claude)
• Fix PureKLU Dual-A dispatch stolen by DualBLinearProblem opt-out (#1073) (@​ChrisRackauckas-Claude)
• Batched RHS via Krylov.jl block methods (GMRES/MINRES) (#1074) (@​ChrisRackauckas-Claude)
• Fix dense LU cache prototypes for wrapper matrices (#1076) (@​ChrisRackauckas)
• Document public API coverage (#1077) (@​ChrisRackauckas-Claude)
• GESVFactorization + dense LU pivot-buffer reuse (v4.2.0) (#1078) (@​ChrisRackauckas-Claude)
• Bump version to 4.2.1 (#1079) (@​ChrisRackauckas)
• ci: use targeted monorepo TagBot (#1080) (@​ChrisRackauckas-Claude)
• Qualify issuccess as LinearAlgebra.issuccess to fix QA ExplicitImports failure (#1081) (@​ChrisRackauckas-Claude)
• Complete allocation-free dense LU refactorization: generic-kernel pivot reuse + regression tests (#1082) (@​ChrisRackauckas-Claude)
• LinearSolve 5.0: lightweight solutions — stop populating LinearSolution.cache in solve! returns (#1083) (@​ChrisRackauckas-Claude)
• Fix singular handling in the StaticArrays square fast path with SVD rescue for the default (#1085) (@​ChrisRackauckas-Claude)

Closed issues:

• Batch mode (#552)
• ForwardDiff autodiff with PureKLUFactorization is very slow through implicit ODE solver (#1064)
• LinearSolve v3.85.2+ broke dense implicit ODE solves with ComponentArray u0 (#1075)
• Static LU path returns retcode Success with Inf/NaN solution on singular SMatrix (#1084)

• See full diff in compare view

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