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Practical augmented lagrangian methods for constrained optimization / E.G. Birgin, University of São Paulo, São Paulo, SP, Brazil, J. M. Martínez, State University of Campinas, Campinas, SP, Brazil.

By: Contributor(s): Material type: TextTextSeries: Fundamentals of algorithms ; FA10Publication details: Philadelphia: SIAM (Society for Industrial and Applied Mathematics) 2013Description: xiii, 220 pages : illustrations, color maps ; 26 cmISBN:
  • 9781611973358 (pb)
Subject(s): DDC classification:
  • 519.6 BIR-MAR 23
LOC classification:
  • QA323 .B57 2014
Contents:
Nomenclature -- Introduction -- Practical motivations -- Optimality conditions -- Model augmented lagrangian algorithm -- Global minimization approach -- General affordable algorithms -- Boundedness of the penalty parameters -- Solving unconstrained subproblems -- Solving constrained subproblems -- First approach to algencan -- Adequate choice of subroutines -- Making a good choice of algorithmic options and parameters -- Practical examples -- Final remarks.
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Includes bibliographical references and indexes.

Nomenclature -- Introduction -- Practical motivations -- Optimality conditions -- Model augmented lagrangian algorithm -- Global minimization approach -- General affordable algorithms -- Boundedness of the penalty parameters -- Solving unconstrained subproblems -- Solving constrained subproblems -- First approach to algencan -- Adequate choice of subroutines -- Making a good choice of algorithmic options and parameters -- Practical examples -- Final remarks.

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