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PrincetonLib is a collection of nonlinear programming (NLP) models. The purpose of the collection is to provide algorithm developers of nonlinear optimization codes with a large and varied set of both theoretical and practical test models. It also aids in the software quality assurance process by providing a set of tools to facilitate benchmarking and performance analysis.
The original models were in AMPL format and collected by Robert Vanderbei and colleagues at Princeton University. They were translated by Andre Savitsky into GAMS. For questions or comments, he can be reached via email. The raw GAMS models were converted into GAMS scalar format using the CONVERT facility. For models with multiple solves, only the first solve instance is translated.
If you are interested in reproducing the scalar models and HTML pages from the raw GAMS source, you can download the raw data source and instructions (21Mb).
Note: A * next to the directory name indicates the group is missing some models due to the AMPL source missing. See the group listing for details.