v0.3.4

Argos v0.3.4

Diff since v0.3.3

Merged pull requests:

• Add script to benchmark KKT solution time for OPF (#70) (@frapac)
• Fix error in BieglerKKTSystem's solve for nontrivial scaling (#71) (@frapac)

v0.3.3

Argos v0.3.3

Diff since v0.3.2

Merged pull requests:

• Scripts to benchmark stochastic OPF instances (#65) (@frapac)
• fix generation of documentation (#66) (@frapac)
• Add preventive and corrective SCOPF (#67) (@frapac)

v0.3.2

Argos v0.3.2

Diff since v0.3.1

Merged pull requests:

• Adding CITATION.cff and Zenodo badge (#61) (@michel2323)
• bump MadNLP version (#62) (@frapac)
• Update CI (#63) (@michel2323)
• update to MadNLP 0.5.2 (#64) (@frapac)

v0.3.1

Argos v0.3.1

Diff since v0.3.0

Closed issues:

• [MadNLP] Schur-complement KKT system breaks if ind_fixed is non-empty (#15)
• Releases (#48)

Merged pull requests:

• hotfix: extend signature of BatchReduction (#54) (@frapac)
• Add proper documentation (#55) (@frapac)
• CI and deployment of docs (#56) (@michel2323)
• add codecov in CI (#57) (@frapac)
• [ci-skip] update badges in README (#58) (@frapac)
• Improve code coverage (#59) (@frapac)
• Bump version to 0.3.1 (#60) (@frapac)

v0.3.0

Argos v0.3.0

Diff since v0.2.1

Merged pull requests:

• add support for ExaPF 0.8 (#50) (@frapac)
• add support for MadNLP 0.5.0 (#51) (@frapac)
• bump version to 0.3.0 (#52) (@frapac)

v0.2.1

Argos v0.2.1

Closed issues:

• Compute reduced gradient with cusolverRF (#8)
• ReducedSpaceEvaluator: reduce allocations in batch computation of Hessian/Jacobian (#11)
• Implement hessian_lagrangian function (#17)
• Replace AbstractNLPEvaluator by NLPModel.AbstractNLPModel (#18)

Merged pull requests:

• Move Evaluators to ExaOpt (#1) (@frapac)
• configure Github Action (#2) (@frapac)
• Clean Ipopt and MadNLP interfaces (#3) (@frapac)
• Update documentation (#4) (@frapac)
• remove ExaTron wrapper and other deprecated files (#5) (@frapac)
• Add HessianLagrangian structure in ExaOpt (#6) (@frapac)
• Allow to evaluate Auglag's Hessian efficiently fully on GPU (#7) (@frapac)
• Add JuMP model for OPF (for comparison) (#9) (@frapac)
• Track feasibility along AugLag iterations (#10) (@frapac)
• Integration of MadNLP inside ExaOpt (#12) (@frapac)
• Add artifact for PP22 (#14) (@frapac)
• [MadNLP] Use latest version of MadNLP in ExaOpt (#16) (@frapac)
• Fix Auglag algorithm with MadNLP 0.3 (#19) (@frapac)
• Add hessian_lagrangian! function in Evaluators (#20) (@frapac)
• [BREAKING] Rename ExaOpt as Argos (#21) (@frapac)
• clean artifact for PSCC2022 paper (#23) (@frapac)
• [ci skip] rescope PP22 artifact (#24) (@frapac)
• Implement BieglerKKTSystem (linearize-then-reduce) (#25) (@frapac)
• Minor performance fixes (#26) (@frapac)
• Fix CI (#27) (@michel2323)
• GPU-accelerated OPF (#29) (@frapac)
• Remove data folder (#31) (@frapac)
• bump MOI version (#32) (@frapac)
• Update README (#34) (@frapac)
• Fix tests with CUDA.allowscalar(false) (#35) (@frapac)
• Add StochEvaluator - second attempt (#36) (@frapac)
• update JuMP example (#37) (@frapac)
• bump MadNLP version (#38) (@frapac)
• use CUSOLVERRF package (#39) (@frapac)
• Move all CUDA-related code in a separate package ArgosCUDA (#40) (@frapac)
• hotfix: set nrhs properly in CUSOLVERRF (#41) (@frapac)
• hotfix: return references when calling in-place methods in NLPModels API (#42) (@degleris1)
• Add benchmark script (#43) (@frapac)
• fix Argos with latest MadNLP (#44) (@frapac)
• [API] add new function run_opf to solve OPF with MadNLP (#45) (@frapac)
• Remove deprecated code (#46) (@frapac)
• clean Project.toml before release (#47) (@frapac)