Introduction to nonlinear and global optimization
Author(s)
Bibliographic Information
Introduction to nonlinear and global optimization
（Springer optimization and its applications, v. 37）
Springer, c2010
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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'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.
Table of Contents
Mathematical modeling, cases.- NLP optimality conditions.- Goodness of optimization algorithms.- Nonlinear Programming algorithms.- Deterministic GO algorithms.- Stochastic GO algorithms.
by "Nielsen BookData"
