PartiallySeparableNLPModels: Exploiting the partially-separable structure to define partitioned quasi-Newton NLPModels

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How to cite

If you use PartiallySeparableNLPModels.jl in your work, please cite using the format given in CITATION.bib.

Philosophy

The purpose of PartiallySeparableNLPModels.jl is to define automatically partially-separable NLPModels. Moreover, it defines several partitioned quasi-Newton models which are meant to be minimized through solvers from JSOSolvers.jl

Compatibility

Julia ≥ 1.6.

How to install

pkg> add PartiallySeparableNLPModels
pkg> test PartiallySeparableNLPModels

How to use

See the tutorial.

Dependencies

The module uses ExpressionTreeForge.jl to detect the partially-separable structure, PartitionedStructures.jl to allocate partitioned quasi-Newton approximations and PartitionedVectors.jl to fit the AbstractVector interface mandatory for AbstractNLPModel methods.

Bug reports and discussions

If you think you found a bug, feel free to open an issue. Focused suggestions and requests can also be opened as issues. Before opening a pull request, start an issue or a discussion on the topic, please.

If you want to ask a question not suited for a bug report, feel free to start a discussion here. This forum is for general discussion about this repository and the JuliaSmoothOptimizers, so questions about any of our packages are welcome.