JuliaSmoothOptimizers / NLSProblems.jl

Nonlinear Least Squares problems
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NLSProblems - Nonlinear Least Squares problems

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This package provides some optimization problems using the NLPModels.jl interface. It is similar to 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].

We welcome contributions.

Install

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

julia> ]
pkg> add NLSProblems
pkg> test NLSProblems

How to cite

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

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.

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.