An Introduction to Numerical Methods
A MATLAB (R) Approach
5th Edition
Published on 13. June 2023
Book
Paperback/Softback
614 pages
978-1-032-40683-1 (ISBN)
Description
An Introduction to Numerical Methods: A MATLAB (R) Approach, Fifth Edition continues to offer readers an accessible and practical introduction to numerical analysis. It presents a wide range of useful and important algorithms for scientific and engineering applications, using MATLAB to illustrate each numerical method with full details of the computed results so that the main steps are easily visualized and interpreted. This edition also includes new chapters on Approximation of Continuous Functions and Dealing with Large Sets of Data.
Features:
Covers the most common numerical methods encountered in science and engineering
Illustrates the methods using MATLAB
Ideal as an undergraduate textbook for numerical analysis
Presents numerous examples and exercises, with selected answers provided at the back of the book
Accompanied by downloadable MATLAB code hosted at https/www.routledge.com/9781032406824
Features:
Covers the most common numerical methods encountered in science and engineering
Illustrates the methods using MATLAB
Ideal as an undergraduate textbook for numerical analysis
Presents numerous examples and exercises, with selected answers provided at the back of the book
Accompanied by downloadable MATLAB code hosted at https/www.routledge.com/9781032406824
Reviews / Votes
Praise for Previous Editions"Kharab and Guenther offer an attractive, clear, error-free, and well-written introduction to numerical methods ... Highly recommended."
- J.H. Ellison, CHOICE
"Overall, this is one of the best numerical methods book that I have come across. I strongly recommend it to be used for any undergraduate introductory course in numerical analysis for science and engineering students."
- Jamal Benbourenane, Abu Dhabi University
More details
Series
Edition
5th edition
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate
Illustrations
120 s/w Abbildungen, 120 s/w Zeichnungen, 78 s/w Tabellen
78 Tables, black and white; 120 Line drawings, black and white; 120 Illustrations, black and white
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 34 mm
Weight
1170 gr
ISBN-13
978-1-032-40683-1 (9781032406831)
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
E-Book
06/2023
5th Edition
Chapman & Hall/CRC
€80.49
Available for download
Book
06/2023
5th Edition
Chapman & Hall/CRC
€205.50
Shipment within 10-20 days
E-Book
06/2023
5th Edition
Chapman & Hall/CRC
€80.49
Available for download
Previous edition
Abdelwahab Kharab | Ronald Guenther
An Introduction to Numerical Methods
A MATLAB (R) Approach, Fourth Edition
Book
06/2021
4th Edition
CRC Press
€68.27
Article exhausted; check for reprint
Persons
Abdelwahab Kharab is an Associate Professor in the College of Natural and Health Sciences at Zayed University. His research interests include numerical analysis and simulation for the numerical solution of partial differential equations that arise in science and engineering.
Ronald B. Guenther is an Emeritus Professor in the Department of Mathematics at Oregon State University. His research interests include mathematically modeling deterministic systems and the ordinary and partial differential equations that arise from these models.
Ronald B. Guenther is an Emeritus Professor in the Department of Mathematics at Oregon State University. His research interests include mathematically modeling deterministic systems and the ordinary and partial differential equations that arise from these models.
Content
1. Introduction 2. Number System and Errors 3. Roots of Equations 4. System of Linear Equations 5. Interpolation 6. Interpolation with Spline Functions 7. Approximation of Continuous Functions 8. Numerical Optimization 9. Numerical Di?erentiation 10. Numerical Integration 11. Numerical Methods for Linear Integral Equations 12. Numerical Methods for Ordinary Di?erential Equations 13. Boundary-Value Problems 14. Eigenvalues and Eigenvectors 15. Dynamical Systems and Chaos 16. Partial Di?erential Equations 17. Dealing with Large Sets of Data