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Evaluating bound-constrained minimization software


  • Ernesto Birgin


  • Jan Gentil



Bound-constrained minimization is a subject of active research. To assess the performance of existent solvers, numerical evaluations and comparisons are carried on. Arbitrary decisions that may have a crucial effect on the conclusions of numerical experiments are highlighted in the present work. As a result, a detailed evaluation based on performance profiles is applied to the comparison of bound-constrained minimization solvers. Extensive numerical results are presented and analyzed. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Ernesto Birgin & Jan Gentil, 2012. "Evaluating bound-constrained minimization software," Computational Optimization and Applications, Springer, vol. 53(2), pages 347-373, October.
  • Handle: RePEc:spr:coopap:v:53:y:2012:i:2:p:347-373
    DOI: 10.1007/s10589-012-9466-y

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    1. repec:spr:eurjco:v:5:y:2017:i:4:d:10.1007_s13675-017-0081-7 is not listed on IDEAS
    2. Adriano Verdério & Elizabeth W. Karas & Lucas G. Pedroso & Katya Scheinberg, 0. "On the construction of quadratic models for derivative-free trust-region algorithms," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 0, pages 1-27.


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