Fundamentals of Engineering Numerical Analysis

Author:   Parviz Moin (Stanford University, California)
Publisher:   Cambridge University Press
ISBN:  

9780511807060


Publication Date:   05 November 2015
Format:   Electronic book text
Availability:   In Print   Availability explained
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Fundamentals of Engineering Numerical Analysis


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Overview

Engineers need hands-on experience in solving complex engineering problems with computers. This text introduces numerical methods and shows how to develop, analyze, and use them. A thorough and practical book, it is intended as a first course in numerical analysis, primarily for new graduate students in engineering and physical science. Along with mastering the fundamentals of numerical methods, students will learn to write their own computer programs using standard numerical methods. They will learn what factors affect accuracy, stability, and convergence, and also not to believe at first glance the numerical output spewed out from a computer. A special feature is the numerous examples and exercises that are included to give students first-hand experience. The material is based on Professor Moin's teachings in numerical analysis and in his own career as a computational physicist/engineer. A thorough solutions manual is availble upon request from the publisher.

Full Product Details

Author:   Parviz Moin (Stanford University, California)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press (Virtual Publishing)
ISBN:  

9780511807060


ISBN 10:   0511807066
Publication Date:   05 November 2015
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Electronic book text
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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'The lecture notes p;rovide an excellent introduction to numerical analysis for betginning graduate students in engineering and physical sciences as well as in other computational sciences.' Ulrich Langer, Zentralblatt fur Mathematik


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