Optimization: Algorithms and Applications
Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and co
1133692769
Optimization: Algorithms and Applications
Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and co
250.0 In Stock
Optimization: Algorithms and Applications

Optimization: Algorithms and Applications

by Rajesh Kumar Arora
Optimization: Algorithms and Applications

Optimization: Algorithms and Applications

by Rajesh Kumar Arora

eBook

$250.00 

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Overview

Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and co

Product Details

ISBN-13: 9781040072677
Publisher: CRC Press
Publication date: 05/06/2015
Sold by: Barnes & Noble
Format: eBook
Pages: 466
File size: 7 MB

About the Author

Rajesh Kumar Arora is a senior engineer at the Indian Space Research Organization, where he has been working for more than two decades. He obtained his PhD in aerospace engineering from the Indian Institute of Science, Bangalore. His research interests include mission design, simulation of launch vehicle systems, and trajectory optimization.

Table of Contents

Introduction. 1-D Optimization Algorithms. Unconstrained Optimization. Linear Programming. Guided Random Search Methods. Constrained Optimization. Multiobjective Optimization. Geometric Programming. Multidisciplinary Design Optimization. Integer Programming. Dynamic Programming. Bibliography. Appendices. Index.
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