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

£180.00

Springer Decomposition Techniques in Mathematical Programming: Engineering and Science Applications

Name: Decomposition Techniques in Mathematical Programming: Engineering and Science Applications
Brand: Springer
Price: 180.0 GBP
Availability: InStock

Managers' Guides to Computing

Same price for 10 weeks. Today is much like next week.

£180 for 67 days straight · last change was Nov 2025

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 576 days • 576 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 576 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £176-184 (392 days, 68.1%)

Price range: £160 - £200

Price levels: 5 price ranges over 576 days

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

Same price for 10 weeks. Today is much like next week.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Decomposition Techniques in Mathematical Programming: Engineering and Science Applications

Large Scale Optimization: State of the Art

Nonlinear Multiobjective Optimization: 12 (International Series in Operations Research & Management Science, 12)

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

Decomposition-based Evolutionary Optimization In Complex Environments

Approximation and Complexity in Numerical Optimization: Continuous and Discrete Problems: 42 (Nonconvex Optimization and Its Applications, 42)

Approximation and Complexity in Numerical Optimization: Continuous and Discrete Problems: 42 (Nonconvex Optimization and Its Applications, 42)

Nonlinear Programming: Theory and Algorithms

Linear and Nonlinear Programming: 228 (International Series in Operations Research & Management Science, 228)

Optimization: Algorithms and Applications

Modeling and Optimization: Theory and Applications: MOPTA, Bethlehem, PA, USA, August 2014 Selected Contributions: 147 (Springer Proceedings in Mathematics & Statistics, 147)

Optimization in Large Scale Problems: Industry 4.0 and Society 5.0 Applications: 152 (Springer Optimization and Its Applications, 152)

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

Introduction to Global Optimization: 48 (Nonconvex Optimization and Its Applications, 48)

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

Springer Intelligent Computational Optimization in Engineering

Numerical Nonsmooth Optimization: State of the Art Algorithms

Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications: 65 (Nonconvex Optimization and Its Applications, 65)

Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications: 65 (Nonconvex Optimization and Its Applications, 65)

State of the Art in Global Optimization: Computational Methods and Applications: 7 (Nonconvex Optimization and Its Applications, 7)

Optimization Theory and Applications (Advanced Lectures in Mathematics)

Heuristics for Optimization and Learning: 906 (Studies in Computational Intelligence, 906)

Modern Numerical Nonlinear Optimization: 195 (Springer Optimization and Its Applications, 195)

Optimization P: Foundations and Applications