Operations Research Methodologies
A single source guide to operations research (OR) techniques, this book covers emerging OR methodologies in a clear, concise, and unified manner. Building a bridge between theory and practice, it begins with coverage of fundamental models and methods such as linear, nonlinear, integer, and dynamic programming, networks, simulation, queuing, inventory, stochastic processes, and decision analysis. The book then explores emerging techniques including multiple criteria optimization, meta heuristics, robust optimization, and complexity and large scale networks. Each chapter gives an overview of a particular methodology, illustrates successful applications, and provides references to computer software availability.
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Operations Research Methodologies
A single source guide to operations research (OR) techniques, this book covers emerging OR methodologies in a clear, concise, and unified manner. Building a bridge between theory and practice, it begins with coverage of fundamental models and methods such as linear, nonlinear, integer, and dynamic programming, networks, simulation, queuing, inventory, stochastic processes, and decision analysis. The book then explores emerging techniques including multiple criteria optimization, meta heuristics, robust optimization, and complexity and large scale networks. Each chapter gives an overview of a particular methodology, illustrates successful applications, and provides references to computer software availability.
86.99 In Stock
Operations Research Methodologies

Operations Research Methodologies

by A. Ravi Ravindran (Editor)
Operations Research Methodologies

Operations Research Methodologies

by A. Ravi Ravindran (Editor)

Paperback

$86.99 
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Overview

A single source guide to operations research (OR) techniques, this book covers emerging OR methodologies in a clear, concise, and unified manner. Building a bridge between theory and practice, it begins with coverage of fundamental models and methods such as linear, nonlinear, integer, and dynamic programming, networks, simulation, queuing, inventory, stochastic processes, and decision analysis. The book then explores emerging techniques including multiple criteria optimization, meta heuristics, robust optimization, and complexity and large scale networks. Each chapter gives an overview of a particular methodology, illustrates successful applications, and provides references to computer software availability.

Product Details

ISBN-13: 9780367386467
Publisher: Taylor & Francis
Publication date: 10/23/2019
Pages: 496
Product dimensions: 7.00(w) x 10.00(h) x (d)

Table of Contents

Linear Programming. Nonlinear Programming. Integer Programming. Network Optimization. Multiple Criteria Decision Making. Decision Analysis. Dynamic Programming. Stochastic Processes. Queueing Theory. Inventory Control. Complexity and Large-Sale Networks. Simulation. Metaheuristics for Discrete Optimization Problems. Robust Optimization.
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