An Introduction to Numerical Methods: A MATLAB® Approach

by Abdelwahab Kharab, Ronald Guenther

Overview

An Introduction to Numerical Methods: A MATLAB^® 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

Product Details

ISBN-13:	9781032406824
Publisher:	CRC Press
Publication date:	06/13/2023
Series:	Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
Edition description:	5th ed.
Pages:	630
Product dimensions:	7.00(w) x 10.00(h) x (d)

About the Author

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.

Table of Contents

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 Differentiation 10. Numerical Integration 11. Numerical Methods for Linear Integral Equations 12. Numerical Methods for Ordinary Differential Equations 13. Boundary-Value Problems 14. Eigenvalues and Eigenvectors 15. Dynamical Systems and Chaos 16. Partial Differential Equations 17. Dealing with Large Sets of Data