Numerical Optimization (Springer Series in Operations Research and Financial Engineering)

Nocedal, Jorge

ISBN 10: 1493937111 / ISBN 13: 9781493937110

Editore: Springer, 2009

Riguardo questo articolo

Readable, but has significant damage / tears. Has a remainder mark. paperback Used - Acceptable 2009.

Codice articolo AB-000052

Dati bibliografici

• Titolo: Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
• Editore: Springer
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 1493937111
• ISBN 13: 9781493937110
• Rilegatura: Brossura
• Edizione: seconda edizione
• Condizione: Acceptable

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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.