InfiniteOpt v0.6.1

Diff since v0.6.0

Merged pull requests:

• Update the Status Badge (#400) (@pulsipher)
• Refactor Interpolations Extension (#401) (@pulsipher)
• Add JuMP.set_start_values (#402) (@pulsipher)
• Update version for JuMP dependency (#403) (@wenwen0231)
• Add tutorial for resolves (#405) (@wenwen0231)
• Update documentation links (#406) (@wenwen0231)
• Expand Compat for Interpolations (#408) (@pulsipher)
• Prep v0.6.1 (#409) (@pulsipher)
• CompatHelper: bump compat for MathOptAI in [weakdeps] to 0.2, (keep existing compat) (#410) (@github-actions[bot])

Closed issues:

• Logical expressions not supported (#366)
• exponential function is doubled as a function of infinite parameters (#374)

InfiniteOpt v0.6.0

Diff since v0.5.9

Breaking changes

• NLPExpr is dropped in favor of JuMP.GenericNonlinearExpr
• @register has been replaced with JuMP.@operator
• map_nlp_to_ast has been discontinued
• Optimizer model API has been replaced with the more general transformation backend API. For modelling, the syntax is largely the same, but accessing methods like optimizer_model_variable have been changed to transformation_variable. The old API is still supported via deprecation and users are encouraged to run Julia in deprecation mode to update their code.
• DomainRestrictions have been replaced with DomainRestriction which enforces restrictions based on arbitrary Julia functions (similar to parameter functions). Please see the constraint guide in the documentation for details.
• start_value_function and set_start_value_function have been dropped in favor of JuMP.start_value and JuMP.set_start_value.
• Semi-infinite variables have been refactored internally to behave more consistently with point variables. The user API remains the same, though bounds and start values can now be specified.
• Point variables inherit domain info from infinite variables in a more general way. Semi-infinite and point variables defined via macros define their own info that overwrites that of the infinite variable. Semi-infinite and point variables defined functionally only modify info if specified via domain modification methods (e.g., set_lower_bound, delete_lower_bound).
• @infinite_parameter no longer supports DenseAxisArrays and SparseAxisArrays in favor of Array to significantly improve performance.
• Collections.VectorTuple have been refactored to focus on tuples of Arrays and Numbers.
• Core data structures have been modified to simply the code base; however, users are not encouraged work directly with core data objects.

Features

• Trained machine learning models can be embedded via the InfiniteMathOptAI extension.
• Transcribed values can be converted to interpolated functions via the InfiniteInterpolations extension.
• Semi-infinite variables can now have bounds and start values.
• Higher-order derivatives are now preserved to facilitate more accurate transformations.
• Recursion is removed to handle deeply nested nonlinear expressions without stackoverflow errors
• Non-JuMP models (e.g., ExaModels) can now be interfaced via the new transformation API.
• set_parameter_value now preserves the backend for efficient resolves.
• warmstart_backend_start_values efficiently warmstarts the backend for resolves.
• Support is added for MOI.Parameter.
• New examples have been added to the documentation.
• Misc. bug fixes and documentation improvements.

Merged pull requests:

• Refactor to directly support higher order derivatives (#341) (@pulsipher)
• Fix SigFig Bug (#344) (@pulsipher)
• Improve the Extensibility of Derivative Methods (#345) (@pulsipher)
• Support Expression Restrictions (#348) (@pulsipher)
• Generalize Transformation API (#349) (@pulsipher)
• Backend API Refinements (#351) (@pulsipher)
• Remove ndarray Keyword Argument (#356) (@pulsipher)
• Use OrderedDict for Array Parameter Supports (#357) (@pulsipher)
• Allow Non-Vector Input for Infinite Parameter Supports (#358) (@pulsipher)
• Improve Performance of Internal Semi-Infinite Variables (#359) (@pulsipher)
• Fix bug in restricted_copy (#360) (@pulsipher)
• Fix printing test for JuMP v1.23.0 (#361) (@odow)
• Improve Defaults of JuMP.is_binary, JuMP.is_integer, and JuMP.is_fixed (#365) (@pulsipher)
• Use invokelatest after eval to adjust to upcoming julia change (#369) (@Keno)
• Addition of three new examples under optimial control. (#370) (@dnguyen227)
• Fix Deletion of Variable Dependencies (#377) (@pulsipher)
• Update CI Versioning (#378) (@pulsipher)
• Update Optimal Control Example Documentation (#380) (@wenwen0231)
• Add InfiniteInterpolate as an extension (#382) (@wenwen0231)
• CompatHelper: bump compat for DataStructures to 0.19, (keep existing compat) (#385) (@github-actions[bot])
• Map finite parameters to JuMP.Parameters (#387) (@wenwen0231)
• Map parameter functions to JuMP.Parameters (#389) (@wenwen0231)
• Add Extension for MathOptAI (#390) (@pulsipher)
• Properly Handle Parameter Functions as JuMP.Parameters in Measures (#391) (@wenwen0231)
• Updated Versioning (#392) (@pulsipher)
• Clean Up and Simplify Dependence on Infinite Parameters (#393) (@pulsipher)
• Improve Parameter Support (#394) (@pulsipher)
• Add Support for Functions in Variable Domains and Overhaul Domain Restrictions (#395) (@pulsipher)
• Provide an API for Reformulating High Order Derivatives into 1st Order Derivatives (#396) (@pulsipher)
• Remove Parameter Numbers (#397) (@pulsipher)
• Remove Recursion from map_expression (#398) (@pulsipher)
• Prep for v0.6 (#399) (@pulsipher)

Closed issues:

• Cannot Transcribe Scalar Measures/Derivatives of Dependent Infinite Parameters (#56)
• Return Interpolated Value Functions (#82)
• Point Variable Inheritance is Invalidated with Changes to Infinite Variable Info (#148)
• Specify Exclusion Points for Constraints (#167)
• Maintain Higher-Order Derivative Representations (#197)
• Vector-Valued Nonlinear Functions (#229)
• Restrict Infinite Parameters to only use Arrays (#233)
• Allow Functional Bounds on Infinite Variables (#253)
• Support Restrictions on Expressions (#347)
• Can i write the InfiniteOpt's Model to file of nl? (#364)
• [FEATURE] Query expression and parameter function names. (#367)
• Deleting variables does not work when a constraint evaluates a variable at multiple time points (#376)
• Update example documentation (#379)
• Ability for Callback function during optimization run (#383)
• Can't install/precompile InfiniteOpt (#388)

InfiniteOpt v0.5.9

Diff since v0.5.8

Merged pull requests:

• Fix legacy NLP interface (#340) (@pulsipher)

InfiniteOpt v0.5.8

Diff since v0.5.7

Closed issues:

• Test failure on Julia 1.9 (#315)

Merged pull requests:

• Fix printing in JuMP v1.11.1 (#314) (@odow)
• Fix for Julia v1.9 by adding check_belongs_to_model (#316) (@odow)
• Fix Transcription w/ Constrained Nonlinear Measures (#318) (@pulsipher)
• Update JuMP Links (#319) (@pulsipher)
• Prep for v0.5.8 (#320) (@pulsipher)

InfiniteOpt v0.5.7

Diff since v0.5.6

Closed issues:

• Salvage value (#286)
• Support Complex Variables and Expressions (#300)
• Generative Support Generation over Empty Sets (#306)

Merged pull requests:

• CompatHelper: bump compat for FastGaussQuadrature to 0.5, (keep existing compat) (#297) (@github-actions[bot])
• Fix Test Coverage for NLP Change in JuMP (#298) (@pulsipher)
• Remove qt5-default from Documentation Build (#299) (@pulsipher)
• Fix Generative Supports for Empty Sets (#307) (@pulsipher)
• Fix Ambiguity with JuMP 1.10 (#310) (@pulsipher)
• Add README for JuMP Documentation (#311) (@pulsipher)
• Finalize JuMP README (#312) (@pulsipher)
• Prep v0.5.7 Release (#313) (@pulsipher)

InfiniteOpt v0.5.6

Diff since v0.5.5

Closed issues:

• Inconsistent Info Updates for Derivatives (#263)
• Inconsistent result in farmer problem (#269)
• Incompatible with JuMP v1.2 due to removal of nlp_data (#280)

Merged pull requests:

• Clarify Generation of Random Scenarios in SO Examples (#270) (@pulsipher)
• Update Links for New Organization (#275) (@pulsipher)
• Update the Tree Package Dependencies (#276) (@pulsipher)
• Update to JuMP v1.2 NLP Model Structure (#281) (@pulsipher)
• Update to Julia v1.8 (#282) (@pulsipher)
• Prep for v0.5.6 (#283) (@pulsipher)

InfiniteOpt v0.5.5

Diff since v0.5.4

Merged pull requests:

• Fix Derivative Update Bug (#264) (@pulsipher)
• Transcription Doc Typo Fix (#265) (@pulsipher)
• Improve DiscreteMeasureData Tutorial (#266) (@pulsipher)
• Simplify Optimizer Model Docs (#267) (@pulsipher)
• Prep v0.5.5 (#268) (@pulsipher)

InfiniteOpt v0.5.4

Diff since v0.5.3

Closed issues:

• Conflict with KernelDensity (#260)

Merged pull requests:

• Fix Generality of sum and prod (#261) (@pulsipher)
• Prep v0.5.4 (#262) (@pulsipher)

InfiniteOpt v0.5.3

Diff since v0.5.2

Closed issues:

• beginner issue (ϵ not defined) (#202)
• Update to JuMP v0.23 (#222)
• Unsmooth points at the beginning and end of control function (#250)
• Cannot use value on Parameter Functions (#254)

Merged pull requests:

• Update to JuMP v0.23 (#223) (@pulsipher)
• Drop Use of nl_ String Functions (#249) (@pulsipher)
• Update Workflows for Drafts (#256) (@pulsipher)
• CompatHelper: bump compat for "JuMP" to "1" (#257) (@github-actions[bot])
• Update Docs for JuMP v1 (#258) (@pulsipher)
• Prep for v0.5.3 (#259) (@pulsipher)

InfiniteOpt v0.5.2

Diff since v0.5.1

Merged pull requests:

• Minor Keyword Argument Fix with 𝔼 (#191) (@pulsipher)
• Remove max and min as default NLP functions (#195) (@pulsipher)
• Require JuMP 0.22.2 for max/min fix (#200) (@pulsipher)
• Prep for v0.5.2 (#201) (@pulsipher)