An object oriented library to manage the collection of Schittkowski test problems for nonlinear optimization

  • Authors:

  • Juan C. Meza;Ricardo A. Oliva

  • Affiliations:

  • Lawrence Berkeley National Laboratory, Berkeley, CA;Lawrence Berkeley National Laboratory, Berkeley, CA

  • Venue:
  • Proceedings of the 2003 conference on Diversity in computing
  • Year:
  • 2003

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Abstract

This paper describes a C++ library that allows handling these test problems in an object-oriented manner without replacing the original Fortran code. The class includes wrappers for evaluating the functions defining each problem, in addition to methods that allow the user to query whether certain features are present in a given test problem. This makes it possible to classify and select subsets of the problems according to criteria specific for the code being tested.