PartiallySeparableNLPModels: Exploiting the partially-separable structure to define partitioned quasi-Newton NLPModels
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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.
pkg> add PartiallySeparableNLPModels
pkg> test PartiallySeparableNLPModels
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.
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