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Practical methods of optimization / R. Fletcher.

By: Fletcher, R.
Material type: materialTypeLabelBookPublisher: [S.l.] : Wiley, 2000Edition: 2nd ed.Description: 456 p. ; 23 cm.ISBN: 0471494631 (paperback); 9780471494638 (paperback).Online resources: Amazon.com Summary: Fully describes optimization methods that are currently most valuable in solving real-life problems. Since optimization has applications in almost every branch of science and technology, the text emphasizes their practical aspects in conjunction with the heuristics useful in making them perform more reliably and efficiently. To this end, it presents comparative numerical studies to give readers a feel for possibile applications and to illustrate the problems in assessing evidence. Also provides theoretical background which provides insights into how methods are derived. This edition offers revised coverage of basic theory and standard techniques, with updated discussions of line search methods, Newton and quasi-Newton methods, and conjugate direction methods, as well as a comprehensive treatment of restricted step or trust region methods not commonly found in the literature. Also includes recent developments in hybrid methods for nonlinear least squares; an extended discussion of linear programming, with new methods for stable updating of LU factors; and a completely new section on network programming. Chapters include computer subroutines, worked examples, and study questions.
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Books Books Central Library, QUEST, Nawabshah

Welcome to the Central Library, QUEST, Nawabshah, Sindh, Pakistan

519.64FLE (Browse shelf) Available 39456
Books Books Central Library, QUEST, Nawabshah

Welcome to the Central Library, QUEST, Nawabshah, Sindh, Pakistan

519.64FLE (Browse shelf) Available 39457
Books Books Central Library, QUEST, Nawabshah

Welcome to the Central Library, QUEST, Nawabshah, Sindh, Pakistan

519.64FLE (Browse shelf) Available 39458
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Fully describes optimization methods that are currently most valuable in solving real-life problems. Since optimization has applications in almost every branch of science and technology, the text emphasizes their practical aspects in conjunction with the heuristics useful in making them perform more reliably and efficiently. To this end, it presents comparative numerical studies to give readers a feel for possibile applications and to illustrate the problems in assessing evidence. Also provides theoretical background which provides insights into how methods are derived. This edition offers revised coverage of basic theory and standard techniques, with updated discussions of line search methods, Newton and quasi-Newton methods, and conjugate direction methods, as well as a comprehensive treatment of restricted step or trust region methods not commonly found in the literature. Also includes recent developments in hybrid methods for nonlinear least squares; an extended discussion of linear programming, with new methods for stable updating of LU factors; and a completely new section on network programming. Chapters include computer subroutines, worked examples, and study questions.

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