Bump the all-julia-packages group across 1 directory with 8 updates

[dependabot]

Updates the requirements on StochasticDiffEqLevyArea, BoundaryValueDiffEqShooting, CommonSolve, BoundaryValueDiffEqMIRKN, OrdinaryDiffEqNonlinearSolve, BoundaryValueDiffEqFIRK, BoundaryValueDiffEqAscher and BoundaryValueDiffEqMIRK to permit the latest version.
Updates StochasticDiffEqLevyArea to 2.0.3

Changelog

Sourced from StochasticDiffEqLevyArea's changelog.

OrdinaryDiffEq.jl v7 / DifferentialEquations.jl v8 Breaking Changes

This release bumps to SciMLBase v3, RecursiveArrayTools v4, and includes breaking changes across DiffEqBase, OrdinaryDiffEqCore, and all solver sublibraries. It also coincides with the DifferentialEquations.jl v8 umbrella release, which is itself a breaking change to the user-facing meta-package.

DifferentialEquations.jl v8: scope reduction

DifferentialEquations.jl v8 no longer re-exports the full SciML solver suite. Previously, using DifferentialEquations pulled in OrdinaryDiffEq, StochasticDiffEq, DelayDiffEq, BoundaryValueDiffEq, Sundials, JumpProcesses, SteadyStateDiffEq, LinearSolve, NonlinearSolve, Optimization, etc. — a large default surface that drove up using time and made it unclear which package any given solver actually came from.

In v8, using DifferentialEquations only loads OrdinaryDiffEq. All other solver families have been removed from the umbrella. If your code relied on DifferentialEquations for SDEs, DDEs, BVPs, jumps, steady states, or any non-ODE solver, you will need to add the topic-specific package to your project explicitly.

Migration

Find the topic you need a solver for and add the corresponding sublib(s) directly. The DiffEqDocs tutorials and solver pages now specify, per algorithm, which package it ships from. Common cases:

Topic	Old (DiffEq v7 umbrella)	New (DiffEq v8)
ODEs	using DifferentialEquations	using OrdinaryDiffEq (or using OrdinaryDiffEqTsit5, OrdinaryDiffEqRosenbrock, … for individual solver families)
Stochastic ODEs	using DifferentialEquations	using StochasticDiffEq
Delay ODEs	using DifferentialEquations	using DelayDiffEq
Boundary value problems	using DifferentialEquations	using BoundaryValueDiffEq (or one of BoundaryValueDiffEqMIRK, BoundaryValueDiffEqFIRK, BoundaryValueDiffEqShooting, …)
Jump processes	using DifferentialEquations	using JumpProcesses
Steady state	using DifferentialEquations	using SteadyStateDiffEq
DAEs (mass matrix or implicit)	using DifferentialEquations	using OrdinaryDiffEq (mass matrix), using Sundials (IDA), or topic sublib
Sundials wrappers (CVODE, IDA, ARKODE)	using DifferentialEquations	using Sundials
Linear / nonlinear / optimization	using DifferentialEquations	using LinearSolve / using NonlinearSolve / using Optimization

For ODE work specifically, prefer importing only the sublib you need (e.g. using OrdinaryDiffEqTsit5: Tsit5) rather than the umbrella using OrdinaryDiffEq — the v7 ecosystem split lets you trim using time substantially. The DiffEqDocs tutorials and solver index annotate every algorithm with its host sublib.

Why

Removing the meta-package's broad re-exports lets each topic's package version cycle independently, eliminates the long using DifferentialEquations precompile chain for users who only need ODEs, and makes the dependency graph for any given script honest about what's actually being loaded.

This change is independent of the OrdinaryDiffEq v7 changes below — OrdinaryDiffEq v7 ships with DifferentialEquations v8, but you can also use OrdinaryDiffEq v7 directly without the umbrella package at all.

OrdinaryDiffEq.jl v7 Breaking Changes

This release bumps to SciMLBase v3, RecursiveArrayTools v4, and includes breaking changes across DiffEqBase, OrdinaryDiffEqCore, and all solver sublibraries.

Themes of the v7 release

Most of the breaking changes fall into a small set of recurring themes. Keep these in mind while reading the migration table — they explain why an individual change exists and often suggest the right migration direction:

• Time to first solve (TTFS) reduction. Direct deps on Static.jl, StaticArrayInterface.jl, Polyester.jl, and StaticArrays.jl were dropped; using OrdinaryDiffEq now loads only the default solver set; ODEFunction switched to AutoSpecialize. All of this means less code loaded and more precompilation caching on first solve.

• Type stability everywhere. All Bool solver/solve keyword arguments (autodiff, verbose, alias, lazy, …) were replaced by typed objects. Passing a Bool no longer changes dispatch in ways the compiler cannot specialize on, and the reverse is no longer allowed to silently fall back through slow generic paths. For example:

  # v6 — a Bool
  Rosenbrock23(autodiff = true)
  solve(prob, alg; verbose = false, alias = true)

... (truncated)

Commits

• aab5abb Update REQUIRE
• 843acfc Update REQUIRE
• 7f8b804 fix future warning
• 5cc1ca9 small refactor
• ca3f030 Merge pull request #44 from tkelman/iteratorsfix
• bd54f96 Compat.Iterators needs 0.18 minimum
• a2a95af Compat.Iterators
• c213804 fix discrete problem check
• ab9819e fix delaydiffeq tests
• a10a8fb final depwarn fix?
• Additional commits viewable in compare view

Updates BoundaryValueDiffEqShooting to 1.17.4

Commits

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Updates CommonSolve to 0.2.13

Commits

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Updates BoundaryValueDiffEqMIRKN to 1.16.3

Commits

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Updates OrdinaryDiffEqNonlinearSolve to 2.6.1

Changelog

Sourced from OrdinaryDiffEqNonlinearSolve's changelog.

OrdinaryDiffEq.jl v7 / DifferentialEquations.jl v8 Breaking Changes

This release bumps to SciMLBase v3, RecursiveArrayTools v4, and includes breaking changes across DiffEqBase, OrdinaryDiffEqCore, and all solver sublibraries. It also coincides with the DifferentialEquations.jl v8 umbrella release, which is itself a breaking change to the user-facing meta-package.

DifferentialEquations.jl v8: scope reduction

DifferentialEquations.jl v8 no longer re-exports the full SciML solver suite. Previously, using DifferentialEquations pulled in OrdinaryDiffEq, StochasticDiffEq, DelayDiffEq, BoundaryValueDiffEq, Sundials, JumpProcesses, SteadyStateDiffEq, LinearSolve, NonlinearSolve, Optimization, etc. — a large default surface that drove up using time and made it unclear which package any given solver actually came from.

In v8, using DifferentialEquations only loads OrdinaryDiffEq. All other solver families have been removed from the umbrella. If your code relied on DifferentialEquations for SDEs, DDEs, BVPs, jumps, steady states, or any non-ODE solver, you will need to add the topic-specific package to your project explicitly.

Migration

Find the topic you need a solver for and add the corresponding sublib(s) directly. The DiffEqDocs tutorials and solver pages now specify, per algorithm, which package it ships from. Common cases:

Topic	Old (DiffEq v7 umbrella)	New (DiffEq v8)
ODEs	using DifferentialEquations	using OrdinaryDiffEq (or using OrdinaryDiffEqTsit5, OrdinaryDiffEqRosenbrock, … for individual solver families)
Stochastic ODEs	using DifferentialEquations	using StochasticDiffEq
Delay ODEs	using DifferentialEquations	using DelayDiffEq
Boundary value problems	using DifferentialEquations	using BoundaryValueDiffEq (or one of BoundaryValueDiffEqMIRK, BoundaryValueDiffEqFIRK, BoundaryValueDiffEqShooting, …)
Jump processes	using DifferentialEquations	using JumpProcesses
Steady state	using DifferentialEquations	using SteadyStateDiffEq
DAEs (mass matrix or implicit)	using DifferentialEquations	using OrdinaryDiffEq (mass matrix), using Sundials (IDA), or topic sublib
Sundials wrappers (CVODE, IDA, ARKODE)	using DifferentialEquations	using Sundials
Linear / nonlinear / optimization	using DifferentialEquations	using LinearSolve / using NonlinearSolve / using Optimization

For ODE work specifically, prefer importing only the sublib you need (e.g. using OrdinaryDiffEqTsit5: Tsit5) rather than the umbrella using OrdinaryDiffEq — the v7 ecosystem split lets you trim using time substantially. The DiffEqDocs tutorials and solver index annotate every algorithm with its host sublib.

Why

Removing the meta-package's broad re-exports lets each topic's package version cycle independently, eliminates the long using DifferentialEquations precompile chain for users who only need ODEs, and makes the dependency graph for any given script honest about what's actually being loaded.

This change is independent of the OrdinaryDiffEq v7 changes below — OrdinaryDiffEq v7 ships with DifferentialEquations v8, but you can also use OrdinaryDiffEq v7 directly without the umbrella package at all.

OrdinaryDiffEq.jl v7 Breaking Changes

This release bumps to SciMLBase v3, RecursiveArrayTools v4, and includes breaking changes across DiffEqBase, OrdinaryDiffEqCore, and all solver sublibraries.

Themes of the v7 release

Most of the breaking changes fall into a small set of recurring themes. Keep these in mind while reading the migration table — they explain why an individual change exists and often suggest the right migration direction:

• Time to first solve (TTFS) reduction. Direct deps on Static.jl, StaticArrayInterface.jl, Polyester.jl, and StaticArrays.jl were dropped; using OrdinaryDiffEq now loads only the default solver set; ODEFunction switched to AutoSpecialize. All of this means less code loaded and more precompilation caching on first solve.

• Type stability everywhere. All Bool solver/solve keyword arguments (autodiff, verbose, alias, lazy, …) were replaced by typed objects. Passing a Bool no longer changes dispatch in ways the compiler cannot specialize on, and the reverse is no longer allowed to silently fall back through slow generic paths. For example:

  # v6 — a Bool
  Rosenbrock23(autodiff = true)
  solve(prob, alg; verbose = false, alias = true)

... (truncated)

Commits

• 74e06f3 Merge branch 'broadcasting'
• 0355ca4 devectorize interpolations
• 3c15958 devectorize initdt and single macro
• 7e09316 devectorize
• 5468e19 no direct StaticArray dependency
• 60ecfc1 Merge branch 'broadcast_changes'
• e7f7271 Merge branch 'broad_methods' into broadcast_changes
• 495d91a interpolation prints
• fccbbf8 simplify due to ArrayPartition changes
• ebcb92e tests pass will full broadcast and extra type handling
• Additional commits viewable in compare view

Updates BoundaryValueDiffEqFIRK to 1.17.3

Commits

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Updates BoundaryValueDiffEqAscher to 1.15.3

Commits

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Updates BoundaryValueDiffEqMIRK to 1.17.4

Commits

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