chore(deps): Update LinearSolve requirement from 2.36.2, 3, 4.2 to 2.36.2, 3, 4.2, 5.0 in /docs in the all-julia-packages group across 1 directory by dependabot[bot] · Pull Request #561 · SciML/BoundaryValueDiffEq.jl

dependabot · 2026-07-13T23:48:18Z

Updates the requirements on LinearSolve to permit the latest version.
Updates LinearSolve to 5.0.0

Release notes

v5.0.0

LinearSolve v5.0.0

Diff since v3.86.1

Breaking changes
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).
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.

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)

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…36.2, 3, 4.2, 5.0 Updates the requirements on [LinearSolve](https://github.com/SciML/LinearSolve.jl) to permit the latest version. Updates `LinearSolve` to 5.0.0 - [Release notes](https://github.com/SciML/LinearSolve.jl/releases) - [Commits](https://github.com/SciML/LinearSolve.jl/commits/v5.0.0) --- updated-dependencies: - dependency-name: LinearSolve dependency-version: 5.0.0 dependency-type: direct:production dependency-group: all-julia-packages ... Signed-off-by: dependabot[bot] <support@github.com>

github-actions · 2026-07-14T00:11:54Z

Benchmark Results (Julia v1.11)

Time benchmarks

	master	`9e7d2ee`...	master / `9e7d2ee`...
Simple Pendulum/IIP/BoundaryValueDiffEqMIRK.MIRK2()	0.519 ± 0.0098 s	0.539 ± 0.011 s	0.963 ± 0.027
Simple Pendulum/IIP/BoundaryValueDiffEqMIRK.MIRK3()	10.9 ± 0.32 ms	11.1 ± 0.41 ms	0.986 ± 0.047
Simple Pendulum/IIP/BoundaryValueDiffEqMIRK.MIRK4()	2.39 ± 0.069 ms	2.4 ± 0.064 ms	0.998 ± 0.039
Simple Pendulum/IIP/BoundaryValueDiffEqMIRK.MIRK5()	2.85 ± 0.086 ms	2.85 ± 0.084 ms	0.997 ± 0.042
Simple Pendulum/IIP/BoundaryValueDiffEqMIRK.MIRK6()	1.38 ± 0.044 ms	1.38 ± 0.039 ms	1 ± 0.043
Simple Pendulum/IIP/MultipleShooting(10, Tsit5; grid_coarsening = false)	1.36 ± 0.04 ms	1.35 ± 0.045 ms	1.01 ± 0.045
Simple Pendulum/IIP/MultipleShooting(10, Tsit5; grid_coarsening = true)	2.81 ± 0.1 ms	2.79 ± 0.086 ms	1.01 ± 0.049
Simple Pendulum/IIP/MultipleShooting(100, Tsit5; grid_coarsening = false)	0.0345 ± 0.0019 s	0.0349 ± 0.0021 s	0.99 ± 0.08
Simple Pendulum/IIP/MultipleShooting(100, Tsit5; grid_coarsening = true)	0.0525 ± 0.00073 s	0.053 ± 0.00086 s	0.991 ± 0.021
Simple Pendulum/IIP/Shooting(Tsit5())	0.159 ± 0.079 ms	0.158 ± 0.078 ms	1 ± 0.7
Simple Pendulum/OOP/BoundaryValueDiffEqMIRK.MIRK2()	0.641 ± 0.0047 s	0.661 ± 0.031 s	0.97 ± 0.046
Simple Pendulum/OOP/BoundaryValueDiffEqMIRK.MIRK3()	16.2 ± 3.4 ms	16.5 ± 3.3 ms	0.979 ± 0.28
Simple Pendulum/OOP/BoundaryValueDiffEqMIRK.MIRK4()	2.88 ± 0.11 ms	2.85 ± 0.099 ms	1.01 ± 0.053
Simple Pendulum/OOP/BoundaryValueDiffEqMIRK.MIRK5()	3.44 ± 0.14 ms	3.45 ± 0.13 ms	0.995 ± 0.056
Simple Pendulum/OOP/BoundaryValueDiffEqMIRK.MIRK6()	1.65 ± 0.097 ms	1.67 ± 0.075 ms	0.986 ± 0.073
Simple Pendulum/OOP/MultipleShooting(10, Tsit5; grid_coarsening = false)	2.87 ± 0.28 ms	2.9 ± 0.35 ms	0.99 ± 0.16
Simple Pendulum/OOP/MultipleShooting(10, Tsit5; grid_coarsening = true)	5.64 ± 4.5 ms	5.68 ± 4.7 ms	0.992 ± 1.1
Simple Pendulum/OOP/MultipleShooting(100, Tsit5; grid_coarsening = false)	0.0729 ± 0.0028 s	0.0733 ± 0.0018 s	0.995 ± 0.045
Simple Pendulum/OOP/MultipleShooting(100, Tsit5; grid_coarsening = true)	0.111 ± 0.0026 s	0.111 ± 0.0025 s	1 ± 0.032
Simple Pendulum/OOP/Shooting(Tsit5())	0.531 ± 0.028 ms	0.532 ± 0.024 ms	0.997 ± 0.07
time_to_load	6.85 ± 0.086 s	6.81 ± 0.01 s	1.01 ± 0.013

Memory benchmarks

	master	`9e7d2ee`...	master / `9e7d2ee`...
Simple Pendulum/IIP/BoundaryValueDiffEqMIRK.MIRK2()	0.389 M allocs: 0.0443 GB	0.389 M allocs: 0.0443 GB	1
Simple Pendulum/IIP/BoundaryValueDiffEqMIRK.MIRK3()	0.0436 M allocs: 4.88 MB	0.0436 M allocs: 4.88 MB	1
Simple Pendulum/IIP/BoundaryValueDiffEqMIRK.MIRK4()	15.7 k allocs: 1.65 MB	15.7 k allocs: 1.65 MB	1
Simple Pendulum/IIP/BoundaryValueDiffEqMIRK.MIRK5()	22.1 k allocs: 2.03 MB	22.1 k allocs: 2.03 MB	1
Simple Pendulum/IIP/BoundaryValueDiffEqMIRK.MIRK6()	12.8 k allocs: 1.05 MB	12.8 k allocs: 1.05 MB	1
Simple Pendulum/IIP/MultipleShooting(10, Tsit5; grid_coarsening = false)	25.5 k allocs: 1.82 MB	25.5 k allocs: 1.82 MB	1
Simple Pendulum/IIP/MultipleShooting(10, Tsit5; grid_coarsening = true)	0.049 M allocs: 3.39 MB	0.049 M allocs: 3.39 MB	1
Simple Pendulum/IIP/MultipleShooting(100, Tsit5; grid_coarsening = false)	0.553 M allocs: 0.0535 GB	0.553 M allocs: 0.0535 GB	1
Simple Pendulum/IIP/MultipleShooting(100, Tsit5; grid_coarsening = true)	0.833 M allocs: 0.0778 GB	0.833 M allocs: 0.0778 GB	1
Simple Pendulum/IIP/Shooting(Tsit5())	4.64 k allocs: 0.224 MB	4.64 k allocs: 0.224 MB	1
Simple Pendulum/OOP/BoundaryValueDiffEqMIRK.MIRK2()	0.89 M allocs: 0.984 GB	0.89 M allocs: 0.984 GB	1
Simple Pendulum/OOP/BoundaryValueDiffEqMIRK.MIRK3()	0.0932 M allocs: 24.8 MB	0.0932 M allocs: 24.8 MB	1
Simple Pendulum/OOP/BoundaryValueDiffEqMIRK.MIRK4()	0.0324 M allocs: 3.96 MB	0.0324 M allocs: 3.96 MB	1
Simple Pendulum/OOP/BoundaryValueDiffEqMIRK.MIRK5()	0.045 M allocs: 4.99 MB	0.045 M allocs: 4.99 MB	1
Simple Pendulum/OOP/BoundaryValueDiffEqMIRK.MIRK6()	25.3 k allocs: 2.17 MB	25.3 k allocs: 2.17 MB	1
Simple Pendulum/OOP/MultipleShooting(10, Tsit5; grid_coarsening = false)	0.142 M allocs: 10.2 MB	0.142 M allocs: 10.2 MB	1
Simple Pendulum/OOP/MultipleShooting(10, Tsit5; grid_coarsening = true)	0.266 M allocs: 18.7 MB	0.266 M allocs: 18.7 MB	1
Simple Pendulum/OOP/MultipleShooting(100, Tsit5; grid_coarsening = false)	2.52 M allocs: 0.279 GB	2.52 M allocs: 0.279 GB	1
Simple Pendulum/OOP/MultipleShooting(100, Tsit5; grid_coarsening = true)	3.82 M allocs: 0.404 GB	3.82 M allocs: 0.404 GB	1
Simple Pendulum/OOP/Shooting(Tsit5())	0.0373 M allocs: 1.69 MB	0.0373 M allocs: 1.69 MB	1
time_to_load	0.161 k allocs: 11.4 kB	0.161 k allocs: 11.4 kB	1

dependabot Bot added dependencies Pull requests that update a dependency file julia Pull requests that update julia code labels Jul 13, 2026

ChrisRackauckas merged commit d31a88a into master Jul 15, 2026
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dependabot Bot deleted the dependabot/julia/docs/all-julia-packages-fce81199da branch July 15, 2026 06:58

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chore(deps): Update LinearSolve requirement from 2.36.2, 3, 4.2 to 2.36.2, 3, 4.2, 5.0 in /docs in the all-julia-packages group across 1 directory - #561

chore(deps): Update LinearSolve requirement from 2.36.2, 3, 4.2 to 2.36.2, 3, 4.2, 5.0 in /docs in the all-julia-packages group across 1 directory#561
ChrisRackauckas merged 1 commit into
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v5.0.0

LinearSolve v5.0.0

Breaking changes

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Benchmark Results (Julia v1.11)

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