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A primal-dual interior-point algorithm for nonlinear least squares constrained problems

Author

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  • M. Fernanda
  • P. Costa
  • Edite Fernandes

Abstract

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Suggested Citation

  • M. Fernanda & P. Costa & Edite Fernandes, 2005. "A primal-dual interior-point algorithm for nonlinear least squares constrained problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 13(1), pages 145-166, June.
    • Handle: RePEc:spr:topjnl:v:13:y:2005:i:1:p:145-166
    DOI: 10.1007/BF02578992
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    Cited by:

    1. Narges Bidabadi & Nezam Mahdavi-Amiri, 2014. "Superlinearly Convergent Exact Penalty Methods with Projected Structured Secant Updates for Constrained Nonlinear Least Squares," Journal of Optimization Theory and Applications, Springer, vol. 162(1), pages 154-190, July.
    2. Dominique Orban & Abel Soares Siqueira, 2020. "A regularization method for constrained nonlinear least squares," Computational Optimization and Applications, Springer, vol. 76(3), pages 961-989, July.

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