Synopsis
Reading books is a kind of enjoyment. Reading books is a good habit. We bring you a different kinds of books. You can carry this book where ever you want. It is easy to carry. It can be an ideal gift to yourself and to your loved ones. Care instruction keep away from fire.
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About the Author
Ranjan Ganguli is a professor in the Department of Aerospace Engineering at the Indian Institute of Science Bangalore. He received his PhD and MS degrees from the Department of Aerospace Engineering, University of Maryland, USA, and his BTech (Honors) degree from IIT Kharagpur. Dr Ganguli works in the area of design optimization, structural dynamics and aeroelasticity. He is an associate fellow of the American Institute of Aeronautics and Astronautics and a fellow of the Indian National Academy of Engineering.
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Search results for Engineering Optimisation A Modern Approach
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Engineering Optimisation
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Universities Press (India) Pvt. Ltd., 2012
ISBN 10: 8173717397
ISBN 13: 9788173717390
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Softcover
Seller: Majestic Books, Hounslow, United Kingdom
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Condition: New. pp. 268. Seller Inventory # 12105811
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Engineering Optimisation A Modern Approach
Seller: Books in my Basket, New Delhi, India
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N.A. Condition: New. ISBN:9788173717390 N.A. Seller Inventory # 2458935
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Engineering Optimisation : A Modern Approach
Seller: Vedams eBooks (P) Ltd, New Delhi, India
Seller rating 4 out of 5 stars
Soft cover. Condition: New. Contents: Preface. 1. Basic Concepts. 2. Direct One-Dimensional Search. 3. Gradient-Based Methods. 4. Newtonian Methods. 5. Constrained Optimization Methods. 6. Response Surface Method. 7. Genetic Algorithm. The deployment of optimization techniques at the conceptual design stage of complex technical systems is today no longer a desirable trait but an absolute necessity. This book aims to make the optimization technique pervasive in engineering design by moving the problem from an academic setting to an industrial platform. It provides a thorough understanding of the concepts of optimization necessary for a robust design of technical systems. The approach is from a modern perspective-it dwells on surrogate modelling and non-gradient-based algorithms and at the same time emphasizes classical methods for pedagogical reasons. Nonlinear optimization, response-surface method and genetic-algorithm approaches have been focussed upon to bridge the gap between nonlinear programming and engineering optimization techniques. The best way to learn optimization methods is undoubtedly by solving problems and following it up with exercises in computer programming. To enable this experience, the book has several solved examples, some of them non-trivial, besides many unsolved problems for the student to work out. Seller Inventory # 102514A