Numerical Methods
Using MATLAB
3rd Edition
Published on 21. August 2012
Book
Paperback/Softback
552 pages
978-0-12-386942-5 (ISBN)
Description
Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization, engineering and science across the board.
More details
Edition
3rd edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Professionals in engineering, bioengineering, and computer science fields and scientists needing user-friendly text to solve specific problems in numerical analysis; Research Professors and students in universities
Dimensions
Height: 235 mm
Width: 191 mm
Weight
1120 gr
ISBN-13
978-0-12-386942-5 (9780123869425)
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
New editions
Book
10/2018
4th Edition
Academic Press
€97.79
Shipment within 15-20 days
Additional editions
E-Book
09/2012
3rd Edition
Academic Press
€71.95
Available for download
Persons
George Lindfield is a former lecturer in Mathematics and Computing at the School of Engineering and Applied Science, Aston University in the United Kingdom. John Penny is an Emeritus Professor of Mechanical Engineering at the School of Engineering and Applied Science, Aston University in the United Kingdom.
Content
An Introduction to Matlab
Linear Equations and Eigensystems
Solution of Nonlinear Equations
Differentiation and Integration
Solution of Differential Equations
Boundary Value Problems
Fitting Functions to Data
Optimization Methods
Applications of the Symbolic Toolbox
Appendix A - Matrix AlgebraAppendix B - Error Analysis
Linear Equations and Eigensystems
Solution of Nonlinear Equations
Differentiation and Integration
Solution of Differential Equations
Boundary Value Problems
Fitting Functions to Data
Optimization Methods
Applications of the Symbolic Toolbox
Appendix A - Matrix AlgebraAppendix B - Error Analysis