v0.8.0

NLPModelsModifiers v0.8.0

Diff since v0.7.4

Breaking: new getters for quasi-Newton models

Merged pull requests:

• Introduce getters for components of a QuasiNewtonModel (#142) (@dpo)

v0.7.4

NLPModelsModifiers v0.7.4

Diff since v0.7.3

Merged pull requests:

• add extra vector of storage inside QN models (#140) (@dpo)

v0.7.3

NLPModelsModifiers v0.7.3

Diff since v0.7.2

Merged pull requests:

• Remove dead tests (#124) (@tmigot)
• Add error in slack model for nonsensical constraints (#125) (@tmigot)
• Update JSOBestie template (#130) (@tmigot)
• Update show tests (#133) (@klamike)
• Update CI workflow for Julia versions and OS support (#134) (@amontoison)
• Upgrade CI actions to latest versions (#135) (@amontoison)
• Update .cirrus.yml (#136) (@amontoison)
• Update package compatibility versions in Project.toml (#137) (@amontoison)
• Release 0.7.3 (#138) (@amontoison)

Closed issues:

• Remove or update unused tests (#58)
• Return an error for constraints without bounds (#101)
• quasi-Newton approximation of Hessian of Lagrangian (#129)
• Quasi-Newton approximations of the Lagrangian Hessian (#131)

v0.7.2

NLPModelsModifiers v0.7.2

Diff since v0.7.1

Merged pull requests:

• Fix allocs issues with jtprod (#112) (@tmigot)
• Add GPU tests (#114) (@tmigot)
• Update CommentPR.yml (#116) (@amontoison)
• Exclude hprod from quasi-Newton GPU tests (#117) (@tmigot)

Closed issues:

• Remove allocations in FeasibilityFormNLS (#77)
• Slack models on GPU (#115)

v0.7.1

NLPModelsModifiers v0.7.1

Diff since v0.7.0

Merged pull requests:

• Bump to NLPModels 0.21 (#111) (@tmigot)

v0.7.0

NLPModelsModifiers v0.7.0

Diff since v0.6.6

Merged pull requests:

• Add CITATION.cff (#106) (@tmigot)
• update diagonal QN models (#107) (@dpo)
• Remove automerge (#108) (@tmigot)
• bump version to 0.7.0 (#109) (@dpo)
• Update .cirrus.yml (#110) (@dpo)

v0.6.6

NLPModelsModifiers v0.6.6

Diff since v0.6.5

Merged pull requests:

• Add function without increment! (#103) (@tmigot)
• Track bug with Julia >= 1.9.2 (#104) (@tmigot)
• Version 0.6.6 (#105) (@tmigot)

v0.6.5

NLPModelsModifiers v0.6.5

Diff since v0.6.4

Merged pull requests:

• Bump to NLPModels 0.20 (#98) (@tmigot)
• Version 0.6.5 (#100) (@tmigot)

v0.6.4

NLPModelsModifiers v0.6.4

Diff since v0.6.3

Merged pull requests:

• Add allocations tests (#91) (@tmigot)
• Add DiagonalQNModel and SpectralGradientModel (#94) (@geoffroyleconte)
• bump version to 0.6.4 (#97) (@dpo)

v0.6.3

NLPModelsModifiers v0.6.3

Diff since v0.6.2

Closed issues:

• Remove allocations SlackModel (#74)
• No incrementation of neval_hprod (#86)

Merged pull requests:

• add FPS in breakage (#70) (@tmigot)
• Remove allocations in hprod for QN models (#71) (@tmigot)
• Pre-allocate multiplier in FeasibilityResidual to save allocs (#72) (@tmigot)
• Add discussion in index (#73) (@tmigot)
• Save allocations in jtprod_lin and jtprod_nln (#75) (@tmigot)
• Save allocations cons_nln in FeasibilityFormNLS (#76) (@tmigot)
• Pre-allocate vector in FeasibilityFormNLS (#78) (@tmigot)
• Remove allocations of jac_nln_structure in SlackModel (#79) (@tmigot)
• Remove allocations in jtprod! (#81) (@tmigot)
• Remove allocations in FeasibilityResidual (#82) (@tmigot)
• Simplify jtprod! (#84) (@tmigot)
• Avoid fixed Float64 in FeasibilityFormNLS (#85) (@tmigot)
• Add neval_hprod incrementation (#87) (@paraynaud)
• Save allocations in cons! (#88) (@tmigot)
• Remove allocations in jprod, hprod and nln_structure (#90) (@tmigot)
• Fix bug in x0 for SlackModels (#92) (@tmigot)