Decomposition Techniques in Mathematical Programming: Engineering and Science Applications - Image 1

Price loading...

Springer Decomposition Techniques in Mathematical Programming: Engineering and Science Applications

Name: Decomposition Techniques in Mathematical Programming: Engineering and Science Applications
Brand: Springer

Managers' Guides to Computing

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Optimization plainly dominates the design, planning, operation, and c- trol of engineering systems. This is a book on optimization that considers particular cases of optimization problems, those with a decomposable str- ture that can be advantageously exploited. Those decomposable optimization problems are ubiquitous in engineering and science applications. The book considers problems with both complicating constraints and complicating va- ables, and analyzes linear and nonlinear problems, with and without in- ger variables. The decomposition techniques analyzed include Dantzig-Wolfe, Benders, Lagrangian relaxation, Augmented Lagrangian decomposition, and others. Heuristic techniques are also considered. Additionally, a comprehensive sensitivity analysis for characterizing the solution of optimization problems is carried out. This material is particularly novel and of high practical interest. This book is built based on many clarifying, illustrative, and compu- tional examples, which facilitate the learning procedure. For the sake of cl- ity, theoretical concepts and computational algorithms are assembled based on these examples. The results are simplicity, clarity, and easy-learning. We feel that this book is needed by the engineering community that has to tackle complex optimization problems, particularly by practitioners and researchersinEngineering,OperationsResearch,andAppliedEconomics.The descriptions of most decomposition techniques are available only in complex and specialized mathematical journals, di?cult to understand by engineers. A book describing a wide range of decomposition techniques, emphasizing problem-solving, and appropriately blending theory and application, was not previously available.

Product Specifications

Brand: Springer
Format: Paperback
ASIN: 3642066070
Category: Books > Subjects > Business, Finance & Law > E-Commerce > Managers' Guides to Computing
Domain: Amazon UK
Release Date: 12 February 2010
Listed Since: 14 June 2010

Barcode

No barcode data available

Springer Decomposition Techniques in Mathematical Programming: Engineering and Science Applications

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Decomposition Techniques in Mathematical Programming: Engineering and Science Applications

Practical Optimization Methods : With Mathematical Applications

Practical Optimization: Algorithms and Engineering Applications

Springer Intelligent Computational Optimization in Engineering

Engineering Optimization: Applications, Methods and Analysis (Wiley-ASME Press Series)

Springer Interior Point Techniques in Optimization - Vol 6

Engineering Optimization: Methods and Applications

Optimization and Dynamical Systems (Communications and Control Engineering)

Optimization Theory

Optimization: Algorithms and Applications

Springer Duality Principles in Nonconvex Systems - Vol 39

Duality Principles in Nonconvex Systems: Theory, Methods and Applications: 39 (Nonconvex Optimization and Its Applications, 39)

Advanced Optimization for Process Systems Engineering (Cambridge Series in Chemical Engineering)

Academic Press Multi-Objective Combinatorial Optimization Book

Convex Analysis and Global Optimization: 110 (Springer Optimization and Its Applications, 110)

Algorithms for Optimization (The MIT Press)

Optimization Methods for Product and System Design (Engineering Optimization: Methods and Applications)

Optimization in Engineering: Models and Algorithms: 120 (Springer Optimization and Its Applications, 120)

Global Optimization in Engineering Design: 9 (Nonconvex Optimization and Its Applications, 9)

Global Optimization in Engineering Design: 9 (Nonconvex Optimization and Its Applications, 9)

Optimization Concepts and Applications in Engineering

Numerical Optimization (Springer Series in Operations Research and Financial Engineering)

Decision Science in Action: Theory and Applications of Modern Decision Analytic Optimisation (Asset Analytics)

Convex Analysis and Global Optimization: 22 (Nonconvex Optimization and Its Applications, 22)