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Get fast and secure shipping knowing your purchase helps empower our community to transform their lives through work. N° de ref. del artículo 4RZUQ9001B7J
" 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. Drawing on their experiences in teaching, research, and consulting, the authors have produced a textbook that will be of interest to students and practitioners alike. Each chapter begins with the basics concepts and builds up gradually to the best techniques currently available. 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. Above all, 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.
Reseña del editor: "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. Drawing on their experiences in teaching, research, and consulting, the authors have produced a textbook that will be of interest to students and practitioners alike. Each chapter begins with the basic concepts and builds up gradually to the best techniques currently available. 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. Above all, 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. MMOR, Mathematical Methods of Operations Research, 2001 observes: "The book looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it seems to be very helpful to do some self-studies in optimization, to complete own knowledge and can be a source of new ideas...I recommend this excellent book to everyone who is interested in optimization problems."
Título: Numerical Optimization (Springer Series in ...
Editorial: Springer
Año de publicación: 2000
Encuadernación: Encuadernación de tapa dura
Condición: Good
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
Hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_438793482
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Librería: YourTechBooks, Bala Cynwyd, PA, Estados Unidos de America
Used, like-new, tight spine, no markings, from smoke-free environment. Nº de ref. del artículo: B113
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
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Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
Hardback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Nº de ref. del artículo: GOR008511908
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Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
Hardcover. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Nº de ref. del artículo: Scanned0387987932
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