v0.8.12

MadNLP v0.8.12

Diff since v0.8.11

Merged pull requests:

• Interface the dense EVD on GPU (#474) (@amontoison)
• [hotfix] Fix method overwriting in new Lapack interface (#478) (@frapac)

v0.8.11

MadNLP v0.8.11

Diff since v0.8.10

Merged pull requests:

• [MadNLPGPU] Add an extension for AMDGPU.jl (#464) (@amontoison)
• Support dense EVD as a LAPACK solver on CPU (#475) (@amontoison)
• Use TRSV instead of TRSM in LAPACK solvers (#477) (@amontoison)

Closed issues:

• Support AMDGPU.jl in MadNLPGPU.jl (#380)
• breakage in OptimalControl.jl v1.1 (#443)

v0.8.10

MadNLP v0.8.10

Diff since v0.8.9

Merged pull requests:

• [MadNLPGPU] Update the interface for CUSOLVER (#466) (@amontoison)
• Split the code for the GPU kernels and CUDA.jl (#472) (@amontoison)
• [MadNLP] Update the interface for LapackCPUSolver (#473) (@amontoison)

Closed issues:

• [MadNLPGPU] Update the interface for CUSOLVER (#460)

v0.8.9

MadNLP v0.8.9

Diff since v0.8.8

Merged pull requests:

• [MadNLPGPU] Upgrade CUDSS.jl (#439) (@amontoison)
• CI fix (#440) (@sshin23)
• Update docs.yml (#444) (@amontoison)
• Update test.yml (#445) (@amontoison)
• [MadNLPGPU] Expose more options in cuDSS wrapper (#446) (@frapac)
• [MadNLPGPU] Support the hybrid execute mode of cuDSS (#447) (@amontoison)
• [MadNLPGPU] Support more ordering (#448) (@amontoison)
• Fix option bound_relax_factor if set to zero (#449) (@frapac)
• Fix scaling of multipliers if nlp_scaling=true (#451) (@frapac)
• fix bug in re-initialize (#454) (@apozharski)
• Implement centering step as done in ipopt (#455) (@apozharski)
• Fix MOI.is_valid for ConstraintIndex{VariableIndex,Parameter} (#456) (@guimarqu)
• Update madnlpgpu_test.jl (#457) (@amontoison)
• Don't support CUDA 5.8.3 (#458) (@amontoison)
• CI fix and clean up (#462) (@sshin23)

Closed issues:

• Unable to use CompactLBGS in Float32 (#420)
• Allow Setting bound_relax_factor to zero (#430)

v0.8.8

MadNLP v0.8.8

Diff since v0.8.7

Merged pull requests:

• Add tutorial for implementing a custom KKT system in MadNLP (#413) (@frapac)
• Fix floating-point for options (#424) (@michel2323)
• Support MUMPS v5.8.0 (#427) (@amontoison)
• Factorize line-search in function filter_line_search! (#428) (@frapac)
• [MadNLPGPU] Update sparse.jl (#429) (@amontoison)
• add helper function to call reduce_rhs! (#431) (@frapac)
• Update utils.jl (#433) (@amontoison)
• Don't call jac_structure! if nnzj == 0 (#435) (@amontoison)
• Add loqo rule and hack arround missing fallback in robust! (#436) (@apozharski)
• Add a kernel for K2.5 IN MadNLPGPU.jl (#437) (@amontoison)

Closed issues:

• Issue with UMFPack for large sparse matrices (#368)
• Don't allocate vectors of size nnzj or nnzh if not needed (#422)
• Float32 in BFGS (#423)
• Add violations of complementary constraints to the logs (#432)

v0.8.7

MadNLP v0.8.7

Diff since v0.8.6

Merged pull requests:

• Fix MadNLPGPU with CUDA.jl v5.7 (#419) (@frapac)
• Update quasi_newton.jl for support of any precision (#421) (@amontoison)
• Replace MadNLPSolver by AbstractMadNLPSolver in IPM functions (#426) (@frapac)

Closed issues:

• [MadNLPGPU] LapackGPUSolver is broken with CUDA.jl 5.7 (#418)
• Constraint violation issue with v0.8.6 (#425)

v0.8.6

MadNLP v0.8.6

Diff since v0.8.5

Merged pull requests:

• Fix option bound_relax_factor (#361) (@frapac)
• Upgrade MadNLPHSL.jl (#376) (@amontoison)
• [MadNLPGPU] Remove the warning related to CUSOLVER (#401) (@amontoison)
• [MadNLPHSL] Add a self-hosted build (#402) (@amontoison)
• [MadNLP] Fix the warning with SolverCore.solve! (#403) (@amontoison)
• [documentation] Add a tutorial for LBFGS (#404) (@frapac)
• CUDSS Cholesky fix and Cholesky new default (#406) (@sshin23)
• Update README.md (#407) (@amontoison)
• [MadNLPGPU] Add an option to not do pivoting in CUDSS (#408) (@amontoison)
• [MadNLPHSL] Test the solvers in quadruple precision (#409) (@amontoison)
• [MadNLPGPU] Drop CUSOLVERRF.jl (#411) (@amontoison)
• Upgrade to MUMPS_seq_jll 5.7.3 (#416) (@frapac)
• Release 0.8.6 (#417) (@frapac)

Closed issues:

• Schur Complement Link Constraint Order (#29)
• Solve KKT linear systems with Krylov.jl (#53)
• [MadNLPGPU] AMD support (#94)
• Reuse existing MadNLPSolver (#213)
• MadNLPGraph Installation (#269)
• CUTEst using CUDSS? (#348)
• How to set hessian approximation alternative? (#366)
• [Documentation] Add a tutorial on how to use BFGS/LBFGS in MadNLP (#400)
• ERROR: a InexactError was thrown during kernel execution (#405)
• Remove CUSOLVERRF.jl from the dependencies of MadNLPGPU.jl (#410)
• Warning: Replacing docs for `SolverCore.solve! (#412)
• [MadNLPMumps] Memory issue with MUMPS_seq_jll 5.7.3 (#415)

v0.8.5

MadNLP v0.8.5

Diff since v0.8.4

Merged pull requests:

• [MOI] update signatures of callbacks in MOI wrapper (#351) (@frapac)
• [KKT] Add K2.5 formulation for augmented KKT system (#352) (@frapac)
• Remove benchmark scripts (#359) (@frapac)
• Make library relocatable (#362) (@tmmsartor)
• [MOI] Do not overwrite MadNLP's options in wrapper (#367) (@frapac)
• [FIX] fix missing check in get_status_output (#369) (@frapac)
• CI path update (#370) (@sshin23)
• [DOC] Add tutorial on multi-precision (#371) (@frapac)
• [DOC] Add tutorial on warm-start (#372) (@frapac)
• MadNLPGraph migration (#374) (@sshin23)
• fix bug in MOI impl when quadratic term has param (#379) (@guimarqu)
• Update the link for libHSL (#383) (@amontoison)
• [documentation] Replace the old link of Julia-HSL (#384) (@amontoison)
• CompatHelper: bump compat for CUDSS to 0.4 for package MadNLPGPU, (keep existing compat) (#385) (@github-actions[bot])
• [MadNLPGPU] Release 0.7.4 (#386) (@amontoison)
• Remove some deps in the Project.toml of MadNLPGPU (#391) (@amontoison)
• Fix warning related to memory in MadNLPGPU (#392) (@amontoison)
• Iterative refinement tolerance tuning (#393) (@sshin23)
• Fix MadNLPGPU on CUDA.jl 5.6.0 (#395) (@frapac)
• [CI] Test MadNLPGPU on Julia 1.11 (#396) (@amontoison)
• [MadNLP] Release 0.8.5 (#397) (@amontoison)

Closed issues:

• Problems with relocatability (#250)
• Project.toml: No such file (#375)
• The function _set_con_scale_sparse! is not GPU-friendly (#377)
• No method matching _eval_lag_hess_wrapper! (#378)
• Why one can get right result on A6000, but problem can't converge on H100 in FP64? (#382)
• Why FP32 is slower than FP64 ? (#387)
• Error with CUDA.jl v5.6.0 (#394)

v0.8.4

MadNLP v0.8.4

Diff since v0.8.3

Merged pull requests:

• [MadNLPGPU] Upgrade CUDSS -- support iterative refinement and hybrid mode (#329) (@amontoison)
• CompatHelper: bump compat for NLPModels to 0.21, (keep existing compat) (#331) (@github-actions[bot])
• [MadNLPGPU] Refactoring - Part I (#340) (@frapac)
• [KKT] Fix symmetric K3 formulation (#345) (@amontoison)
• [KKT] add two folders Sparse and Dense for KKT formulations (#347) (@frapac)
• Update kkt.md (#354) (@amontoison)
• bump MadNLP version to v0.8.4 (#358) (@frapac)

v0.8.3

MadNLP v0.8.3

Diff since v0.8.2

Merged pull requests:

• [hotfix] LDLFactorizations.jl added as dependency (#343) (@sshin23)
• bump MadNLP version to v0.8.3 (#344) (@sshin23)

Closed issues:

• Move LDLSolver to weakdeps (#342)