PartiallySeparableNLPModels: Exploiting the partially-separable structure to define partitioned quasi-Newton NLPModels
How to cite
If you use PartiallySeparableNLPModels.jl in your work, please cite using the format given in CITATION.bib.
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
Julia ≥ 1.6.
How to install
pkg> add PartiallySeparableNLPModels
pkg> test PartiallySeparableNLPModels
How to use
See the tutorial.
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.