Bump the all-julia-packages group across 1 directory with 4 updates

[dependabot]

Updates the requirements on Interpolations, Optim, OrderedCollections and DifferentialEquations to permit the latest version.
Updates Interpolations to 0.16.3

Release notes

Sourced from Interpolations's releases.

v0.16.3

Non-breaking changes

• Replace padded_similar by similar by @​jishnub in JuliaMath/Interpolations.jl#634
• Syntax fix: callable type instead of tuple assignment by @​mlechu in JuliaMath/Interpolations.jl#647
  • xref issue: JuliaLang/julia#62051
  • xref pull request: JuliaLang/julia#62067

Interpolation package directory listing

• Add FastInterpolations.jl entry by @​JeffFessler in JuliaMath/Interpolations.jl#640
• CI workflow to ignore markdown changes by @​JeffFessler in JuliaMath/Interpolations.jl#641
• Improve description for FastInterpolations.jl by @​JeffFessler in JuliaMath/Interpolations.jl#642

Maintenance

• Bump actions/checkout from 4 to 5 by @​dependabot[bot] in JuliaMath/Interpolations.jl#631
• Bump actions/checkout from 5 to 6 by @​dependabot[bot] in JuliaMath/Interpolations.jl#636
• Bump julia-actions/cache from 2 to 3 by @​dependabot[bot] in JuliaMath/Interpolations.jl#639
• Bump actions/cache from 4 to 5 by @​dependabot[bot] in JuliaMath/Interpolations.jl#638
• Bump codecov/codecov-action from 5 to 6 by @​dependabot[bot] in JuliaMath/Interpolations.jl#643
• Bump codecov/codecov-action from 6 to 7 by @​dependabot[bot] in JuliaMath/Interpolations.jl#646
• Bump version number to v0.16.3 by @​giordano in JuliaMath/Interpolations.jl#648

New Contributors

• @​JeffFessler made their first contribution in JuliaMath/Interpolations.jl#640
• @​mlechu made their first contribution in JuliaMath/Interpolations.jl#647

Full Changelog: JuliaMath/Interpolations.jl@v0.16.2...v0.16.3

Changelog

Sourced from Interpolations's changelog.

For a comprehensive list of changes, see Releases.

v0.16.1

Fixes:

• Fix hessian with ForwardDiff.jl for scaled interpolants (#628)

v0.16

Breaking changes:

• getindex for AbstractInterpolations only accepts integers (#579), deprecated since (#226)
• gradient and hessian are once again no longer exported (#623)
• Fix free boundary condition on Cubic (#616)
• Compatible with Julia versions 1.9 and later

v0.15

Breaking changes:

• Compatible with Julia versions 1.6 and later

v0.14.0

Breaking changes:

Implement inplace GriddedInterpolation (#496, for #495)

• interpolate now copies the coefficients for GriddedInterpolation.
• interpolate! now does not copy the coefficients for GriddedInterpolation.
• The third argument of GriddedInterpolation describes the array type of the coefficients rather than the element type of Array.

v0.9.0

Breaking changes:

• gradient and hessian are no longer exported; use Interpolations.gradient and Interpolations.hessian.
• interpolate objects now check bounds, and throw an error if you try to evaluate them at locations beyond the edge of their interpolation domain; use extrapolate if you need out-of-bounds evaluation
• For quadratic and cubic interpolation, interpolate! now returns an object whose axes are narrowed by the amount of padding needed on the array edges. This preserves correspondence between input indices and output indices. See https://julialang.org/blog/2017/04/offset-arrays for more information.
• The parametrization of some types has changed; this does not affect users of the "exported" interface, but does break packages that performed manual construction of explicit types.

Changes with deprecation warnings:

• itp[i...] should be replaced with itp(i...).
• OnGrid and OnCell should now be placed inside the boundary condition (e.g., Flat(OnGrid())), and should only be used for quadratic and cubic interpolation.
• the extrapolation boundary condition Linear was changed to Line, to be consistent

... (truncated)

Commits

• See full diff in compare view

Updates Optim to 2.2.1

Changelog

Sourced from Optim's changelog.

Optim master release notes

• Fix Preconditioning example for v1.0 syntax
• Improve handling of alternative number types in univariate optimization
• Add conditional likelihood example to docs
• Improve Fminbox trace printing.

Optim v0.17.2 release notes

• Fix some typos
• Fix doc building

Optim v0.17.0 release notes

• Drop support for Julia versions less 1.0. Optim v.17.1 is also out.

Optim v0.11.0 release notes

• Optional scaling for inverse Hessian in L-BFGS
• Support for initial step length guesses via LineSearches

Optim v0.10.0 release notes

• Support for optimization on Riemannian manifolds
• Support for optimization of functions of complex variables
• New experimental KrylovTrustRegion method useful when cheap Hessian-vector products are available.
• Improved support for BigFloats
• Add doc strings to methods
• Drop support for Julia versions less than v0.6.0-pre

Optim v0.9.0 release notes

• Fminbox: If an initial guess is on the boundary of the box, the guess is moved inside the box and a warning is produced, as opposed to crashing with an error.
• Significant changes to the Non-, Once-, and TwiceDifferentiable setup; these now hold temporaries relevant to the evaluation of objectives, gradients, and Hessians. They also hold f-, g-, and h_calls counters.
• Refactor tests
• Drop v0.4 support
• Add limits to f-, g-, and h_calls
• Improve trace for univariate optimization
• Changed order of storage arrays and evaluation point arrays in gradient and Hessian calls
• Skip v0.8.0 to allow fixes on Julia v0.5.0

Optim v0.7.6 release notes

• Fix deprecations for *Function constructors
• Fix depwarns on Julia master (v0.6)
• Update references to new JuliaNLSolvers home for Optim+family

Optim v0.7.5 release notes

• Various bug fixes
• Deprecate DifferentiableFunction, TwiceDifferentiable in favor of OnceDifferentiable, TwiceDifferentiable
• widen some type annotations (e.g. allow for multidimensional arrays as inputs again)
• introduce allow_f_increases keyword in Optim.Options to allow objective to increase between iterations
• New option in Optim.Options: allow_f_increases. Defaults to false, but if set to true, the solver will not stop even if a step leads to an increase in the objective.
• Newton and BFGS: set initial step length to one. See 328.

Optim v0.7.3 release notes

... (truncated)

Commits

• See full diff in compare view

Updates OrderedCollections to 2.0.1

Release notes

Sourced from OrderedCollections's releases.

v2.0.1

OrderedCollections v2.0.1

Diff since v2.0.0

Merged pull requests:

• avoid rehashing in read-only operations (and fix some bugs) (#169) (@​KristofferC)
• Bump version from 2.0.0 to 2.0.1 (#170) (@​KristofferC)

Commits

• ee78af1 Bump version from 2.0.0 to 2.0.1 (#170)
• 304d5ed avoid rehashing in read-only operations (and fix some bugs) (#169)
• d5d76c7 Merge pull request #164 from JuliaCollections/ox/v2
• 68ab740 Remove depreacations for v2.0 release
• 7bb0847 Bump version from 1.8.1 to 1.8.2
• 6af78d8 OrderedDict: improve performance for non-concrete values and keys (#166)
• 1eaa980 Bump actions/checkout from 5 to 6 (#157)
• 7be2211 Bump actions/checkout from 4 to 5 (#156)
• a25bffa Add Integer type annotation to sizehint! overloads (#155)
• a64f186 issorted(ld; byvalue=true) for LittleDicts (#151)
• Additional commits viewable in compare view

Updates DifferentialEquations to 8.0.3

Changelog

Sourced from DifferentialEquations's changelog.

Breaking Changes in v7.0

• ParameterizedFunctions.jl, along with a few other modeling libraries, are no longer exported by DifferentialEquations.jl. You must do using ParameterizedFunctions to use the `@ode_def macro. As it has not been part of the documentation for 3 years, this is breaking but should not affect most users. This reduces the dependencies and using time of the library by about half.
• OrdinaryDiffEq.jl has a new linear solver system based on the LinearSolve.jl library. linsolve arguments now take LinearSolve.jl solvers.

Commits

• See full diff in compare view