Models

The following is a list of packages implement the NLPModels API.

If you want your package listed here, open a Pull Request.

If you want to create your own interface, check these Guidelines.

Packages

• NLPModelsModifiers.jl: Models that modify existing models. For instance, creating slack variables, or moving constraints into the objective functions, or using Quasi-Newton LBFSG approximations to the Hessian.
• ADNLPModels.jl: Models with automatic differentiation. It has a very simple interface, although it isn't very efficient for larger problems.
• CUTEst.jl: For problems from CUTEst.
• AmplNLReader.jl: For problems modeled using AMPL
• NLPModelsJuMP.jl: For problems modeled using JuMP.jl.
• QuadraticModels.jl: For problems with quadratic and linear structure.
• LLSModels.jl: Creates a linear least squares model.
• PDENLPModels.jl: For PDE-constrained problems.
• BlockNLPModels.jl: For modeling block structured nonlinear optimization problems.

Model internals

• AbstractNLPModel
• AbstractNLSModel
• AbstractNLPModelMeta
• NLPModelMeta
• NLSMeta
• nls_meta