Numerical Methods in Engineering with MATLAB (R)
3rd Edition
Published on 28. October 2015
978-1-316-46888-3 (ISBN)
Description
The third edition of this successful text describes and evaluates a range of widely used numerical methods, with an emphasis on problem solving. Every method is discussed thoroughly and illustrated with problems involving both hand computation and programming. MATLAB (R) M-files accompany each method and are available on the book's web page. Code is made simple and easy to understand by avoiding complex book-keeping schemes, while maintaining the essential features of the method. The third edition features a new chapter on Euler's method, a number of new and improved examples and exercises, and programs which appear as function M-files. Numerical Methods in Engineering with MATLAB (R), 3rd edition is a useful resource for both graduate students and practicing engineers.
More details
Edition
3rd Revised edition
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
College/higher education
Edition type
Revised edition
Illustrations
15 Tables, black and white; 154 Line drawings, unspecified
File size
6,02 MB
ISBN-13
978-1-316-46888-3 (9781316468883)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jaan Kiusalaas
Numerical Methods in Engineering with MATLAB (R)
Book
10/2015
3rd Edition
Cambridge University Press
€138.30
Shipment within 15-20 days
Person
Jaan Kiusalaas is a Professor Emeritus in the Department of Engineering Science and Mechanics at Pennsylvania State University. He has taught computer methods, including finite element and boundary element methods, for more than thirty years. He is also the coauthor or author of numerous books.
Content
1. Introduction to MATLAB (R); 2. Systems of linear algebraic equations; 3. Interpolation and curve fitting; 4. Roots of equations; 5. Numerical differentiation; 6. Numerical integration; 7. Initial value problems; 8. Two-point boundary value problems; 9. Symmetric matrix eigenvalue problems; 10. Introduction to optimization.
