Computer Methods for Engineering with MATLAB® Applications  book cover
2nd Edition

Computer Methods for Engineering with MATLAB® Applications

ISBN 9781591690368
Published September 8, 2011 by CRC Press
632 Pages 179 B/W Illustrations

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Book Description

Substantially revised and updated, Computer Methods for Engineering with MATLAB® Applications, Second Edition presents equations to describe engineering processes and systems. It includes computer methods for solving these equations and discusses the nature and validity of the numerical results for a variety of engineering problems. This edition now uses MATLAB in its discussions of computer solution.

New to the Second Edition

  • Recent advances in computational software and hardware
  • A large number of MATLAB commands and programs for solving exercises and to encourage students to develop their own computer programs for specific problems
  • Additional exercises and examples in all chapters
  • New and updated references

The text follows a systematic approach for obtaining physically realistic, valid, and accurate results through numerical modeling. It employs examples from many engineering areas to explain the elements involved in the numerical solution and make the presentation relevant and interesting. It also incorporates a wealth of solved exercises to supplement the discussion and illustrate the ideas and methods presented. The book shows how a computational approach can provide physical insight and obtain inputs for the analysis and design of practical engineering systems.

Table of Contents

Introductory Remarks
Numerical Solutions
Importance of Analytical Results
Physical Considerations
Application of Computer Methods to Engineering Problems
Outline and Scope of the Book

Basic Considerations in Computer Methods
Computational Procedure
Numerical Errors and Accuracy
Iterative Convergence
Numerical Parameters

A Review of MATLAB Programming
MATLAB Environment
Ordinary Differential Equations
Script m-Files
Function m-Files

Taylor Series and Numerical Differentiation
The Taylor Series
Direct Approximation of Derivatives
Taylor-Series Approach and Accuracy
Polynomial Representation
Partial Derivatives

Roots of Equations
Search Method for Real Roots
Bisection Method
Regula Falsi and Secant Methods
Newton–Raphson Method and Modified Newton’s Method
Successive Substitution Method
Other Methods

Numerical Solutions of Simultaneous Algebraic Equations
Gaussian Elimination
Gauss–Jordan Elimination
Compact Methods
Numerical Solution of Linear Systems by Matrix Inversion
Iterative Methods
Homogeneous Linear Equations
Solution of Simultaneous Nonlinear Equations

Numerical Curve Fitting and Interpolation
Exact Fit and Interpolation
Lagrange Interpolation
Newton’s Divided-Difference Interpolating Polynomial
Numerical Interpolation with Splines
Method of Least Squares for a Best Fit
Function of Two or More Independent Variables

Numerical Integration
Rectangular and Trapezoidal Rules for Integration
Simpson’s Rules for Numerical Integration
Higher-Accuracy Methods
Integration with Segments of Unequal Width
Numerical Integration of Improper Integrals

Numerical Solution of Ordinary Differential Equations
Euler’s Method
Improvements in Euler’s Method
Runge–Kutta Methods
Multistep Methods
Predictor–Corrector Methods
Boundary-Value Problems

Numerical Solution of Partial Differential Equations
Parabolic PDEs
Elliptic PDEs
Hyperbolic PDEs

Appendix A: Some Common Commands in MATLAB
Appendix B: Computer Programs in MATLAB
Appendix C: Computer Programs in FORTRAN



A Summary and Problems appear at the end of each chapter.

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Yogesh Jaluria is a Board of Governors Professor in the Mechanical and Aerospace Engineering Department at Rutgers University. He has contributed to more than 450 technical articles and received numerous honors, including the Kern Award from AIChE, the Max Jakob Memorial Award from ASME and AIChE, and the Robert Henry Thurston Lecture Award, Freeman Scholar Award, Worcester Reed Warner Medal, and Heat Transfer Memorial Award, all from ASME.