NLSProblems.jl

This package provides Nonlinear Least Squares optimization problems in NLPModels.jl interface using JuMP syntax and NLPModelsJuMP. It is similar to OptimizationProblems.jl, except that it's specific for nonlinear least squares, using the subtype of AbstractNLSModel.

This collection currently contains the problems of Moré, Garbow and Hillstrom [1].

Install

NLSProblems can be installed and tested through the Julia package manager:

julia> ]
pkg> add NLSProblems
pkg> test NLSProblems

Contributing

Please open pull requests to submit new problems! When submitting a problem, please pay particular attention to the documentation. We would like to gather as much information as possible on the provenance of problems.

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.

How to cite

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

References

[1] J. J. Moré, B. S. Garbow and K. E. Hillstrom. Testing Unconstrained Optimization Software. ACM Transactions on Mathematical Software, 7(1):17-41, 1981.

[2] W. Hock and K. Schittkowski. Test examples for nonlinear programming codes. Lecture Notes in Economics and Mathematical Systems 187, Springer Verlag Berlin Heidelberg, 1981.

[3] L. Lukšan and J. Vlček. Sparse and Partially Separable Test Problems for Unconstrained and Equality Constrained Optimization. Technical report 767, 1999.

[4] K. Schittkowski. More test examples for nonlinear programming codes. Lecture Notes in Economics and Mathematical Systems 282, Springer Verlag Berlin Heidelberg, 1987.