Introduction to Nonlinear Optimization - Theory, Algorithms, and Applications with MATLAB

This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization - theoretical and algorithmic foundation, familiarity with va...

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Bibliographic Details
Main Author Beck, Amir
Format eBook Book
LanguageEnglish
Published Philadelphia Society for Industrial and Applied Mathematics (SIAM) 2014
Mathematical Optimization Society
Society for Industrial and Applied Mathematics
Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)
SeriesMOS-SIAM series on optimization
Subjects
Control Theory & Optimization
Convex analysis
Matematical optimization
Mathematical optimization
MATLAB
Nonlinear optimization
Nonlinear theories
Optimality conditions
Process Design, Control & Automation
Scientific computing
Smooth optimization algorithms
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Summary:This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization - theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and algorithms on actual problems - and rigorously and gradually builds the connection between theory, algorithms, applications, and implementation.
Bibliography:Includes bibliographical references and index
Includes bibliographical references and index.
(DLC) 2014029493
ISBN:1611973643
9781611973648
DOI:10.1137/1.9781611973655