Introduction to Numerical Methods

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A01=Abdelwahab Kharab
A01=Ronald Guenther
algorithms for engineering
Author_Abdelwahab Kharab
Author_Ronald Guenther
Bernstein Polynomials
boundary-value problems
Category=PBKS
Category=PBW
Category=UFM
Central Difference Formula
chaos theory
Composite Trapezoidal Rule
computational mathematics
computing the eigenvalues of a matrix
computing the eigenvectors of a matrix
Cubic Spline
data approximation
Divided Difference Table
End Fprintf
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
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error analysis
Finite Difference Method
Fixed Point
Fredholm Integral Equation
Gaussian Quadrature
Gaussian Quadrature Formula
Heun's Method
Heun’s Method
Interpolant Polynomial
Interval Arithmetic
least-squares data fitting
MATLAB Function
MATLAB functions
MATLAB GUI
Natural Cubic Spline
Newton's Method
Newton’s Method
nonlinear partial differential equations
numerical algorithms for scientists
numerical analysis
Numerical Methods introduction
numerical optimization
numerical solution of integral equations
ordinary differential equations
Polynomial Interpolation
scientific computing
Simple Pendulum
Simpson's Composite Rule
Simpson's Rule
Simpson’s Composite Rule
Simpson’s Rule
solving systems of linear equations
Trapezoidal Rule
Truncation Error
undergraduate engineering

Product details

  • ISBN 9781032406824
  • Weight: 1270g
  • Dimensions: 178 x 254mm
  • Publication Date: 13 Jun 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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

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.

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