Numerical Methods with Worked Examples: Matlab Edition
2nd Edition
Published on 10. September 2011
Book
Hardback
X, 256 pages
978-94-007-1365-9 (ISBN)
Description
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.
Fully documented MATLAB code for the numerical methods described in the book will be available as supplementary material to the book.
Reviews / Votes
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)More details
Product info
Book w. online files/update
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Upper undergraduate
Edition type
Revised edition
Product notice
Laminated cover
Illustrations
32
32 s/w Abbildungen
31 schwarz-weiße Abbildungen
Dimensions
Height: 241 mm
Width: 159 mm
Thickness: 22 mm
Weight
538 gr
ISBN-13
978-94-007-1365-9 (9789400713659)
DOI
10.1007/978-94-007-1366-6
Schweitzer Classification
Other editions
Additional editions
C. Woodford | C. Phillips
Numerical Methods with Worked Examples: Matlab Edition
Book
11/2014
2nd Edition
Springer
€53.45
Shipment within 15-20 days
C. Woodford | C. Phillips
Numerical Methods with Worked Examples: Matlab Edition
E-Book
09/2011
2nd Edition
Springer
€50.28
Available for download
Previous edition
C. Woodford | Chris Phillips
Numerical Methods with Worked Examples
Book
08/1997
1st Edition
Chapman and Hall
€58.80
Article exhausted; check for reprint
Persons
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.
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.
Content
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.