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OptimizationOptimisers OptimizationOptimisers-v0.1.0

Closed issues:

  • Setup BlackBoxOptim.jl and Evolutionary.jl with sciml_train (#4)
  • Hook sciml_train into MOI (#3)
  • Roadmap (#2)
  • Add CMAEvolutionStrategy (#7)
  • NLopt optimiser does not call objective function (#11)
  • kwargs only used for Optim.AbstractOptimizer (#13)
  • Iterations, f(x) calls, ∇f(x) calls incorrect (#15)
  • Register (#16)
  • Improve show methods for OptimizationFunction and OptimizationProblem (#25)
  • Add OptimizationProblem constructor for f::OptimizationFunction (#26)
  • Support IPNewton from Optim (#28)
  • Add MTK hook (#32)
  • add Flux optimisers (#36)
  • Fix withprogress (#42)
  • Add a thread-safe version of AutoForwardDiff (#53)
  • cons_j should be using the jvp form (#54)
  • Stochastic results (#58)
  • Rosenbrock with non-linear constraints (#59)
  • Maxiter does not except scientific e notation (#63)
  • Add support for save_best keyword with ADAM optimizer with sciml_train (#67)
  • Can't get NLopt to work (#70)
  • New return struct (#72)
  • TagBot trigger issue (#75)
  • Could not find cudnn (#100)
  • AutoModelingToolkit not working (#109)
  • Re-enable BlackBoxOptim test (#111)
  • Feature request: Differentiable optimizers (#112)
  • Documenting call signatures for passed grad, hes, etc. (#116)
  • Pre-compile issues (#125)
  • ReverseDiff over Zygote to differentiate neural network using GalacticOptim - Dimension mismatch (#126)
  • minibatch tutorial not working with Fminbox (#133)
  • Speed up precompilation (#136)
  • Error requiring Flux from GalacticOptim (#141)
  • Specialize MOI Optimizers on symbolic information of AutoModelingToolkit (#145)
  • Support MAX_SENSE in the MOI wrapper (#148)
  • Wrap SpeedMapping.jl (#152)
  • Max-sense for NLopt and Optim (#155)
  • UndefVarError: AutoZygote not defined (#158)
  • MOI throws error with EAGO.jl (#167)
  • Cannot set lower and upper bound for SimulatedAnnealing OptimizationProblem (#171)
  • Automatically use Fminbox wrapping if OptimizationProblem has bounds with Optim optimisers (#172)
  • Returning minimizing parameters for Flux optimizers when maxiters is reached (#178)
  • Handling of box constraints for Optim.ParticleSwarm (#179)
  • Allow callback to stop the optimization (#188)
  • UndefVarError: AutoForwardDiff not defined (#193)
  • GalacticOptim with AmplNLWriter optimizer (#194)
  • Constraints being ignored (#195)
  • LBFGS Stopping criteria (#196)
  • solve callback parameter ignored by NLopt solvers (#199)
  • Example with evolution algorithm fails (#204)
  • NOMAD: Undefined f (#206)
  • Local optimisation explodes in memory requirements (#211)
  • Compatibility with MOI v1 (#214)
  • Basic ForwardDiff example in docs not working (#216)
  • Error with Ipopt and specification of lb, ub (#221)
  • ERROR: LoadError: MethodError: no method matching iterate(::Nothing) (#224)
  • Remove AutoModelingToolkit constraint building hacks (#238)
  • Removing some heavier dependencies (#239)
  • Finishing sparsity support (#244)
  • instantiate_function: MethodError no method matching OptimizationFunction (#251)
  • Change from Flux to Optimisers (#254)
  • Documentation not working (#267)
  • Rename every use of old names to new names (#268)
  • OptimizationSpeedMapping isn't registered (#271)
  • Pass expression graph to MOI (#272)
  • Update derivative matrices' structure functions in MOI for sparse case (#273)
  • OptimizationMOI fails tests on Julia 1.6 (#275)
  • Minibatch example throws error (#279)
  • Updates from GalaticOptim (#281)
  • Sparse handling in MOI is broken and untested (#283)
  • Error when running Code in documentation (#286)
  • Clarification on lcons/ucons/sense in OptimizationProblem documentation (#291)
  • Broken reference to Optimisers.jl in docs (#301)
  • How does Optimization.jl relate to JuMP.jl (#308)
  • Adjustments to the OptimizationMultistartOptimization.jl documentation (#313)
  • OptimizationFunctions are instantiated as out-of-place without constraints (#316)
  • Precache the ForwardDiff, ReverseDiff, and FiniteDiff caches (#320)
  • Ipopt gets dense jacobians even if sparse jacobian functions are provided (#339)
  • instantiate_function converts sparse matrix to Float (#341)
Source: README.md, updated 2026-06-25