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100427s2010 xxu| s |||| 0|eng d |
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|a 9780387886701
|9 978-0-387-88670-1
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|a 10.1007/978-0-387-88670-1
|2 doi
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|a QA315-316
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|a QA402.3
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|a MAT005000
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|a MAT029020
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|a 515.64
|2 23
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|a Hendrix, Eligius M.T.
|e author.
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|a Introduction to Nonlinear and Global Optimization
|c by Eligius M.T. Hendrix, Boglr̀ka G.-Tt̤h.
|h [electronic resource] /
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|a New York, NY :
|b Springer New York,
|c 2010.
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|a XI, 208 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Springer Optimization and Its Applications,
|v 37
|x 1931-6828 ;
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|a Preface -- 1. Introduction -- 2. Mathematical Modeling, Cases -- 3. NLP Optimality Conditions -- 4. Goodness of Optimization Algorithms -- 5. Nonlinear Programming Algorithms -- 6. Deterministic GO Algorithms -- 7. Stochastic GO Algorithms -- References -- Index.
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|a This self-contained text provides a solid introduction to global and nonlinear optimization, providing students of mathematics and interdisciplinary sciences with a strong foundation in applied optimization techniques. The book offers a unique hands-on and critical approach to applied optimization which includes the presentation of numerous algorithms, examples, and illustrations, designed to improve the reader<U+0019>s intuition and develop the analytical skills needed to identify optimization problems, classify the structure of a model, and determine whether a solution fulfills optimality conditions. Key features of "Introduction to Nonlinear and Global Optimization": - Offers insights into relevant concepts such as "regions of attraction", "branch-and-bound", and "cross-cutting" methods as well as many other useful methodologies. -Exhibits numerical examples and exercises developing the reader<U+0019>s familiarity with the terminology and algorithms that are frequently encountered in scientific literature. - Presents various heuristic and stochastic optimization techniques demonstrating how each be applied to a variety of models from biology, engineering, finance, chemistry, and economics. This book is intended to serve as a primary text in an advanced undergraduate or graduate course focusing on nonlinear and global optimization and requires an understanding of basic calculus and linear algebra.
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|a Mathematics.
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|a Global differential geometry.
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|a Operations research.
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|a Mathematics.
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|a Calculus of Variations and Optimal Control, Optimization.
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|a Operations Research, Mathematical Programming.
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|a Differential Geometry.
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|a G.-Tt̤h, Boglr̀ka.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9780387886695
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|a Springer Optimization and Its Applications,
|v 37
|x 1931-6828 ;
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-88670-1
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|a ZDB-2-SMA
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|a Mathematics and Statistics (Springer-11649)
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