Optimization Theory And Applications

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Optimization Theory with Applications

Author	: Donald A. Pierre
Publisher	: Courier Corporation
Total Pages	: 644
Release	: 2012-07-12
ISBN-10	: 9780486136950
ISBN-13	: 0486136957
Rating	: 4/5 (957 Downloads)

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Book Synopsis Optimization Theory with Applications by : Donald A. Pierre

Download or read book Optimization Theory with Applications written by Donald A. Pierre and published by Courier Corporation. This book was released on 2012-07-12 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Broad-spectrum approach to important topic. Explores the classic theory of minima and maxima, classical calculus of variations, simplex technique and linear programming, optimality and dynamic programming, more. 1969 edition.

Optimization Theory with Applications Related Books

Language: en
Pages: 644

Optimization Theory with Applications

Authors: Donald A. Pierre

Categories: Mathematics

Type: BOOK - Published: 2012-07-12 - Publisher: Courier Corporation

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Broad-spectrum approach to important topic. Explores the classic theory of minima and maxima, classical calculus of variations, simplex technique and linear pro

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Optimization—Theory and Applications

Authors: L. Cesari

Categories: Science

Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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This book has grown out of lectures and courses in calculus of variations and optimization taught for many years at the University of Michigan to graduate stude

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Optimization Methods, Theory and Applications

Authors: Honglei Xu

Categories: Mathematics

Type: BOOK - Published: 2015-06-17 - Publisher: Springer

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This book presents the latest research findings and state-of-the-art solutions on optimization techniques and provides new research direction and developments.

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Optimization

Authors: S. S. Rao

Categories: Mathematical optimization

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Global Optimization

Authors: Marco Locatelli

Categories: Mathematics

Type: BOOK - Published: 2013-10-16 - Publisher: SIAM

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This volume contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as complexity, heuristic methods,