0 Mėgstami
0Krepšelis

Practical Augmented Lagrangian Methods for Constrained Optimization

Šiuo metu neparduodama

Knygos aprašymas

Augmented Lagrangian techniques for the solution of practical constrained optimization problems are the focus of this book, which gives a thorough account of both theory and applications. The authors rigorously delineate mathematical convergence theory based on sequential optimality conditions and novel constraint qualifications. They also orient the book to practitioners by prioritizing results that provide insight on the practical behavior of algorithms and by providing geometrical and algorithmic interpretations of every mathematical result. In addition, they fully describe a freely available computational package for constrained optimization and illustrate its usefulness with applications. This book is aimed at engineers, physicists, chemists, and other practitioners interested in full access to comprehensive and well-documented software for large-scale optimization, as well as up-to-date convergence theory and its practical consequences. It will also be of interest to graduate and advanced undergraduate students in mathematics, computer science, applied mathematics, optimization, and numerical analysis.

Informacija

Autorius: Ernesto G. Birgin, José Mario Martinez,
Leidėjas: Society for Industrial and Applied Mathematics
Išleidimo metai: 2014
Knygos puslapių skaičius: 230
ISBN-13: 9781611973358
Formatas: 6.85 x 0.43 x 9.72 inches. Knyga minkštu viršeliu
Kalba: Anglų

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „Practical Augmented Lagrangian Methods for Constrained Optimization“

Būtina įvertinti prekę

Goodreads reviews for „Practical Augmented Lagrangian Methods for Constrained Optimization“