An Introduction to Numerical Methods
A MATLAB Approach
1st Edition
Published on 28. November 2001
Book
Hardback
448 pages
978-1-58488-281-7 (ISBN)
Description
Numerical methods are a mainstay of researchers and professionals across the many mathematics, scientific, and engineering disciplines. The importance of these methods combined with the power and widespread availability of desktop computers virtually demands that students in these fields be well-versed not only in the numerical techniques, but also in the use of a modern computational software package. An Introduction to Numerical Methods: A MATLAB Approach fulfills both these needs. Requiring only calculus and some basic programming concepts as background, it introduces readers to the theory and applications of the most commonly used techniques for solving numerical problems on a personal computer. It covers a wide range of useful algorithms, each presented with full details so that readers can visualize and interpret each step. The enclosed CD-ROM contains simple MATLAB functions that provide step-by-step explanations of the mechanisms behind the algorithm for each technique and guide readers through the necessary calculations.
Emphasis on understanding how the methods work, a simple, direct style, and thorough coverage make this book an outstanding initiation that allows students to see almost immediate results. It will boost their confidence in their ability to master the subject and give them valuable experience in the use of MATLAB.
Emphasis on understanding how the methods work, a simple, direct style, and thorough coverage make this book an outstanding initiation that allows students to see almost immediate results. It will boost their confidence in their ability to master the subject and give them valuable experience in the use of MATLAB.
Reviews / Votes
'Kharab and Guenther offer an attractive, clear, error-free, and well-written introduction to numerical methods. Highly recommended.' - "J. H. Ellison in CHOICE"More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Undergraduate students in applied mathematics, engineering, computer science, and the hard sciences; Engineers and applied mathematicians needing a refresher in the subject using MATLAB
Illustrations
100 s/w Abbildungen
100 Illustrations, black and white
Dimensions
Height: 235 mm
Width: 156 mm
Weight
789 gr
ISBN-13
978-1-58488-281-7 (9781584882817)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Abdelwahab Kharab | Ronald B. Guenther
An Introduction to Numerical Methods
A MATLAB Approach, Second Edition
Book
07/2005
2nd Edition
Chapman & Hall/CRC
€101.70
Article exhausted; check for reprint
Persons
Kharab; Abdelwahab King Fahd University of Petroleum & Minerals, Saudi Arabia,Guenther; Ronald B. Oregon State University, Corvallis, Oregon, USA,
Content
Introduction
About the software MATLAB
An Introduction to MATLAB
Taylor Series Number System and Errors
Floating-Point Arithmetic
Round-Off Errors
Truncation Error
Interval Arithmetic Roots of Equations
The Bisection Method
The Method of False Position
The Secant method
Newton's Method
Convergence of the Newton and Secant Methods
Fixed Point Iteration
Multiple Roots and the Modified Newton Method
Newton's Method for Nonlinear Systems System of Linear Equations
Matrices and Matrix Operations
Naive Gaussian Elimination
Gaussian Elimination with Scaled Partial Pivoting
Lu Decomposition
Iterative Methods Interpolation
Polynomial Interpolation Theory
Newton's Divided Difference Interpolating Polynomial
The Error of the Interpolating Polynomial
Lagrange Interpolating Polynomial Interpolation with Spline Functions
Piecewise Linear Interpolation
Quadratic Spline
Natural Cubic Splines The Method of Least Squares
Linear Least Squares
Least Squares Polynomial
Nonlinear Least Squares
Trigonometric Least Squares Polynomial Numerical Differentiation and Integration
Numerical Differentiation
Richardson's Formula
Trapezoidal Rule
Simpson's Rule
Romberg Algorithm
Gaussian Quadrature
Numerical Methods for Ordinary Differential Equations
Euler's Method
Error Analysis
Higher Order Taylor Series Methods
Runge-Kutta Methods
Multistep Methods
Adams-Bashforth Method
Predictor-Corrector Methods
Adams-Moulton Method
Numerical Stability
Higher Order Equations and Systems of Equations
Implicit Methods and Stiff Systems
Phase Plane Analysis: Chaotic Equations Boundary Value Problems
Finite-Difference Methods
Shooting Methods Eigenvalues and Eigenvectors
Basic Theory
The Power Method
The Quadratic Method
Eigenvalues for Boundary-Value Problems
Bifurcations in Differential Equations Partial Differential Equations
Parabolic Equations
Hyperbolic Equations
Elliptic Equations Bibliography and References
Appendices
Calculus Review
MATLAB built-in functions
Text MATLAB functions
Answers to Selected Exercises Index
About the software MATLAB
An Introduction to MATLAB
Taylor Series Number System and Errors
Floating-Point Arithmetic
Round-Off Errors
Truncation Error
Interval Arithmetic Roots of Equations
The Bisection Method
The Method of False Position
The Secant method
Newton's Method
Convergence of the Newton and Secant Methods
Fixed Point Iteration
Multiple Roots and the Modified Newton Method
Newton's Method for Nonlinear Systems System of Linear Equations
Matrices and Matrix Operations
Naive Gaussian Elimination
Gaussian Elimination with Scaled Partial Pivoting
Lu Decomposition
Iterative Methods Interpolation
Polynomial Interpolation Theory
Newton's Divided Difference Interpolating Polynomial
The Error of the Interpolating Polynomial
Lagrange Interpolating Polynomial Interpolation with Spline Functions
Piecewise Linear Interpolation
Quadratic Spline
Natural Cubic Splines The Method of Least Squares
Linear Least Squares
Least Squares Polynomial
Nonlinear Least Squares
Trigonometric Least Squares Polynomial Numerical Differentiation and Integration
Numerical Differentiation
Richardson's Formula
Trapezoidal Rule
Simpson's Rule
Romberg Algorithm
Gaussian Quadrature
Numerical Methods for Ordinary Differential Equations
Euler's Method
Error Analysis
Higher Order Taylor Series Methods
Runge-Kutta Methods
Multistep Methods
Adams-Bashforth Method
Predictor-Corrector Methods
Adams-Moulton Method
Numerical Stability
Higher Order Equations and Systems of Equations
Implicit Methods and Stiff Systems
Phase Plane Analysis: Chaotic Equations Boundary Value Problems
Finite-Difference Methods
Shooting Methods Eigenvalues and Eigenvectors
Basic Theory
The Power Method
The Quadratic Method
Eigenvalues for Boundary-Value Problems
Bifurcations in Differential Equations Partial Differential Equations
Parabolic Equations
Hyperbolic Equations
Elliptic Equations Bibliography and References
Appendices
Calculus Review
MATLAB built-in functions
Text MATLAB functions
Answers to Selected Exercises Index