Optimization Optimization
Springer Optimization and Its Applications

Optimization

Structure and Applications

    • €134.99
    • €134.99

Publisher Description

Optimization: Structure and Applications presents selected contributions from renowned researchers in the fields of operations research and industrial engineering. The text is divided into two parts: the first focuses  on mathematical structure, and the second,  on real-world applications.  The book includes recent developments in several optimization-related topics such as decision theory, linear programming, turnpike theory, duality theory, convex analysis, and queueing theory. The applications presented include, but are not limited to, data imaging, network capacity allocation, water system management, and materials design.

The 21 self-contained chapters in this volume are devoted to  the examination of modern trends and open problems in the field of optimization. This book will be a valuable tool not only to specialists interested in the technical detail and various applications presented, but also to researchers interested in building upon the book’s theoretical results.

GENRE
Science & Nature
RELEASED
2009
29 June
LANGUAGE
EN
English
LENGTH
422
Pages
PUBLISHER
Springer New York
PROVIDER INFO
Springer Science & Business Media LLC
SIZE
25.4
MB
Continuous Optimization Continuous Optimization
2006
Monte Carlo and Quasi-Monte Carlo Methods 2004 Monte Carlo and Quasi-Monte Carlo Methods 2004
2006
Multiscale, Nonlinear and Adaptive Approximation Multiscale, Nonlinear and Adaptive Approximation
2009
Mathematics Without Boundaries Mathematics Without Boundaries
2014
Trends and Applications in Constructive Approximation Trends and Applications in Constructive Approximation
2006
A Panorama of Discrepancy Theory A Panorama of Discrepancy Theory
2014
Variational Analysis and Aerospace Engineering Variational Analysis and Aerospace Engineering
2009
Data Mining in Agriculture Data Mining in Agriculture
2009
Nonlinear Analysis and Variational Problems Nonlinear Analysis and Variational Problems
2009
Mathematical Optimization and Economic Analysis Mathematical Optimization and Economic Analysis
2009
Introduction to Nonlinear and Global Optimization Introduction to Nonlinear and Global Optimization
2010
Computational Neuroscience Computational Neuroscience
2010