http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Practical augmented lagrangian methods for constrained optimization
xiii, 220 pages : illustrations (some color), map ; 26 cm.
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.
E.G. Birgin, University of São Paulo, São Paulo, Brazil, J. M. Martínez, State University of Campinas, Campinas, São Paulo, Brazil.
Includes bibliographical references and index.