Numerical Optimization

Stephen Wright

ISBN 10: 1493937111 / ISBN 13: 9781493937110

Edité par Springer New York, Springer US Apr 2009, 2009

A propos de cet article

Neuware -Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side.There is a selected solutions manual for instructors for the new edition.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 688 pp. Englisch. N° de réf. du vendeur 9781493937110

Détails bibliographiques

Titre : Numerical Optimization

Éditeur : Springer New York, Springer US Apr 2009

Date d'édition : 2009

Reliure : Taschenbuch

Etat : Neu

Edition : 2ème Édition

A propos de ce titre

Synopsis :

The new edition of this book presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. Its publication responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. This new edition has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are widely used in practice and are the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience including graduate students, researchers and practitioners. The authors have produced a text that is pleasant to read, informative and rigorous. It reveals both the beautiful nature of the discipline and its practical side.