v0.3.5

PartiallySeparableNLPModels v0.3.5

Diff since v0.3.4

Closed issues:

• Rely on JuMP to enhance performances (#88)

Merged pull requests:

• PkgBenchmark + judge method (#90) (@paraynaud)
• Partitioned backends (#95) (@paraynaud)
• v0.3.5 (#99) (@paraynaud)

v0.3.4

PartiallySeparableNLPModels v0.3.4

Diff since v0.3.3

Closed issues:

• Particular treatment of linear and quadratic element functions (#67)

Merged pull requests:

• Fix a corner case of grad (#86) (@paraynaud)
• v0.3.4 (#91) (@paraynaud)

v0.3.3

PartiallySeparableNLPModels v0.3.3

Diff since v0.3.2

Merged pull requests:

• Merge linear element (#84) (@paraynaud)
• v0.3.3 (#85) (@paraynaud)

v0.3.2

PartiallySeparableNLPModels v0.3.2

Diff since v0.3.1

Closed issues:

• Requires (#32)
• Change title (#71)

Merged pull requests:

• Update documentation (#76) (@paraynaud)
• Clean repo - Remove old benchmark files (#77) (@paraynaud)
• Fix a corner case during the distinction of element expression trees (#79) (@paraynaud)
• v0.3.2 (#81) (@paraynaud)

v0.3.1

PartiallySeparableNLPModels v0.3.1

Diff since v0.3.0

Merged pull requests:

• Basic heuristic (#72) (@paraynaud)
• v0.3.1 (#75) (@paraynaud)

v0.3.0

PartiallySeparableNLPModels v0.3.0

Diff since v0.2.0

Closed issues:

• Support $\nabla^2 f$ (#20)
• Partitioned quasi-Newton NLPModels (#21)
• Move get_expr_tree() to ExpressionTreeForge.jl (#34)
• Method profiles (#43)
• Improve show (#44)
• Update NLPModels 0.18 and co (#52)

Merged pull requests:

• new architecture to define all partitioned NLPModels (#54) (@paraynaud)
• remove ExpressionTreeForge from unregistered dependencies (gh-actions) (#56) (@paraynaud)
• update compat from [email protected] (#57) (@paraynaud)
• Add community guidelines section in readme (#58) (@tmigot)
• PartitionedNLPModel relying on PartitionedVectors (#59) (@paraynaud)
• Update citation (#64) (@paraynaud)
• Fix citation order (#65) (@paraynaud)
• v0.3.0 (#68) (@paraynaud)
• Fix installation command (#69) (@paraynaud)
• Fix [compat] for v0.3.0 (#70) (@paraynaud)

v0.2.0

PartiallySeparableNLPModels v0.2.0

Diff since v0.1.0

Closed issues:

• Fix form (#8)
• Show statistics about partial separability detection (#28)

Merged pull requests:

• fix typo (#24) (@dpo)
• Show implementation (#35) (@paraynaud)
• PCS variant (#36) (@paraynaud)
• support hprod, hprod! (#40) (@paraynaud)
• DOI badge (#42) (@dpo)
• Partitioned LinearOperator almost allocation free (#46) (@paraynaud)
• Fix show (#47) (@paraynaud)
• Improve coverage (#49) (@paraynaud)
• V0.2.0 (#53) (@paraynaud)

Release to obtain DOI only

v0.1.0b

:robot: Format .jl files

v0.1.0

PartiallySeparableNLPModels v0.1.0

Closed issues:

• Change of acronyms related to PartitionedStructures (#14)

Merged pull requests:

• small change for CI build (#1) (@paraynaud)
• homogénéisation des dépendances du package et de la doc (#3) (@paraynaud)
• Manifest or ci.yml (#5) (@paraynaud)
• Use partitioned structures (#6) (@paraynaud)
• add PLBFGS data structure (#7) (@paraynaud)
• fix PSS decomposition (#9) (@paraynaud)
• change on the old version about distinguing the distinct element tree (#10) (@paraynaud)
• Partitioned nlp model (#11) (@paraynaud)
• fix partitioned update for PartiallySeparableSolvers.jl (#12) (@paraynaud)
• add README.md (#13) (@paraynaud)
• Rework of the repository to make a v0.1.0 (#16) (@paraynaud)
• delete old PBFGS and PLBFGS modules (#18) (@paraynaud)
• Readme tutorial (#19) (@paraynaud)
• fix links paraynaud -> JuliaSmoothOptimizers (#23) (@paraynaud)
• Update tutorial.md (#25) (@dpo)
• I forgot the untracked files (#27) (@paraynaud)
• fix compat registrator (#30) (@paraynaud)
• upgrade OptimizationProblems in tests (#31) (@paraynaud)