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Add initial dense model API and ManualDenseNLPModel implementation #512
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Add initial dense model API and ManualDenseNLPModel implementation #512
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arnavk23
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Aug 20, 2025
- Add AbstractDenseNLPModel type and stub API
- Implement ManualDenseNLPModel with dense Jacobian/Hessian methods
- Update tests and exports for dense model support
- Remove deprecated test usage and unnecessary includes
- All tests passing
…ts in output, objective from residual
Co-authored-by: Tangi Migot <[email protected]>
Co-authored-by: Tangi Migot <[email protected]>
- Remove duplicate get_nnzh definitions in src/nlp/tools.jl to fix method overwriting warnings - Implement allocation-free jtprod! function for mixed linear/nonlinear constraints (fixes JuliaSmoothOptimizers#384) - Use coordinate-based manual accumulation to avoid temporary allocations - All tests pass with the new implementation
- Add AbstractDenseNLPModel type and stub API - Implement ManualDenseNLPModel with dense Jacobian/Hessian methods - Update tests and exports for dense model support - Remove deprecated test usage and unnecessary includes - All tests passing
@dpo @amontoison @tmigot please review this pr. |
Hi @tmigot, I’ve been contributing to the NLPModels repositories for some time and really enjoy working on the ecosystem. I’d like to ask whether there are any internship opportunities, student projects, or collaboration possibilities that I could get involved in. I’m eager to contribute more deeply and learn from the team. Please let me know if there are any opportunities or recommended next steps. Thanks a lot for your guidance and for maintaining such an excellent project! |
Sorry for the delay in reviewing this. It is a big change, and I will need more time to check it. |
Thanks a lot @arnavk23 for your interest and the time spent working on JSO issues. |
@tmigot any updates here. |