Numerical Methods with Worked Examples: Matlab Edition

Author:   C. Woodford ,  C. Phillips
Publisher:   Springer
Edition:   2nd ed. 2012
ISBN:  

9789400713659


Pages:   256
Publication Date:   10 September 2011
Format:   Hardback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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Numerical Methods with Worked Examples: Matlab Edition


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Overview

This book is for students following an introductory course in numerical methods, numerical techniques or numerical analysis. It introduces MATLAB as a computing environment for experimenting with numerical methods. It approaches the subject from a pragmatic viewpoint; theory is kept at a minimum commensurate with comprehensive coverage of the subject and it contains abundant worked examples which provide easy understanding through a clear and concise theoretical treatment. This edition places even greater emphasis on ‘learning by doing’ than the previous edition.   Fully documented MATLAB code for the numerical methods described in the book will be available as supplementary material to the book on http://extras.springer.com

Full Product Details

Author:   C. Woodford ,  C. Phillips
Publisher:   Springer
Imprint:   Springer
Edition:   2nd ed. 2012
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   0.571kg
ISBN:  

9789400713659


ISBN 10:   9400713657
Pages:   256
Publication Date:   10 September 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.
Language:   English

Table of Contents

1. Basic Matlab. - 2. Linear Equations.- 3. Nonlinear Equations.- 4. Curve Fitting.- 5. Numerical Integration.- 6. Numerical Differentiation.- 7. Linear Programming.- 8. Optimization.- 9. Ordinary Differential Equations.- 10. Eigenvalues and Eigenvectors.-  11. Statistics.

Reviews

From the book reviews: For the reader who is looking to incorporate numerical methods into their field without diving too deep into the analysis, the authors' order of presentation is very appealing. ... The chapters of this book cover almost everything that one would expect in a numerical methods book. The authors hold true to their endeavor to teach by example, including numerous motivating problems and worked solutions. (Chris Vogl, SIAM Review, Vol. 56 (3), September, 2014)


From the book reviews: For the reader who is looking to incorporate numerical methods into their field without diving too deep into the analysis, the authors order of presentation is very appealing. The chapters of this book cover almost everything that one would expect in a numerical methods book. The authors hold true to their endeavor to teach by example, including numerous motivating problems and worked solutions. (Chris Vogl, SIAM Review, Vol. 56 (3), September, 2014)


Author Information

Chris Woodford is a specialist adviser with the Newcastle University Computing Service. He is consulted by the staff and by students on matters relating to numerical, scientific and engineering computation. He gives Matlab courses and has used Matlab in developing multi-media applications. He has research interests and publications in the theory and application of the Finite Element method. Chris Woodford is also an Associate Lecturer with the Open University. He tutors a wide range of Maths and Computing courses and has been involved in the production of teaching material. Chris Phillips is currently Dean of Undergraduate Studies in the Faculty of Science, Agriculture and Engineering at Newcastle University. He has taught extensively on courses involving numerical analysis and computer programming. He is an advocate of active learning and publishes pedagogic research papers in this area. His technical research has focussed on the numerical solution of integral and partial differential equations and parallel numerical algorithms.

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