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Numerical optimization

By: Contributor(s): Material type: TextTextSeries: Springer series in operations researchPublication details: Springer Science+Business Media LLC 2006 New YorkEdition: 2nd edDescription: xxii, 664 pISBN:
  • 9781493937110
Subject(s): DDC classification:
  • 519.863 NOC/N
Summary: 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.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Reference Reference IIIT Kottayam Central Library Reference 519.863 NOC/N (Browse shelf(Opens below)) Not For Loan 3240
Books Books IIIT Kottayam Central Library General Stacks 519.863 NOC/N (Browse shelf(Opens below)) 1 Available 3241
Books Books IIIT Kottayam Central Library General Stacks 519.863 NOC/N (Browse shelf(Opens below)) 2 Available 3242
Total holds: 0

Includes bibliography and index (p. 435-464)

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.

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