Release v0.8.5 · MadNLP/MadNLP.jl

MadNLP v0.8.5

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)