Applied Numerical Methods with MATLAB for Engineers and Scientists
2nd Edition
Published on 16. March 2007
Book
Paperback/Softback
608 pages
978-0-07-125921-7 (ISBN)
Description
Steven Chapra's second edition, Applied Numerical Methods with MATLAB for Engineers and Scientists, is written for engineers and scientists who want to learn numerical problem solving. This text focuses on problem-solving (applications) rather than theory, using MATLAB, and is intended for Numerical Methods users; hence theory is included only to inform key concepts. The second edition feature new material such as Numerical Differentiation and ODE's: Boundary-Value Problems. For those who require a more theoretical approach, see Chapra's best-selling Numerical Methods for Engineers, 5/e (2006), also by McGraw-Hill.
More details
Edition
2nd edition
Language
English
Place of publication
London
United States
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Dimensions
Height: 229 mm
Width: 178 mm
Thickness: 28 mm
Weight
1071 gr
ISBN-13
978-0-07-125921-7 (9780071259217)
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
Previous edition
Steven C. Chapra
Applied Numerical Methods with MATLAB for Engineering and Science
Book
07/2004
McGraw-Hill Publishing Co.
€43.32
Article exhausted; check for reprint
Person
Steven C. Chapra (Medford, MA) is Professor of Civil and Environmental Engineering, Tufts University.
Content
Part One Modeling, Computers, and Error Analysis 1. Mathematical Modeling Numerical Methods and Problem Solving 2. MATLAB Fundamentals 3. Programming with MATLAB 4. Roundoff and Trunication Errors Part Two Roots and Optimization 5. Roots: Bracketing Methods 6. Roots: Open Methods 7. Optimization Part Three Linear Systems 8. Linear Algebraic Equations and Matrices 9. Gauss Elimination 10. LU Factorization 11. Matrix Inverse and Condition 12. Iterative Methods Part Four Curve Fitting 13. Linear Regression 14. General Linear Least-Squares and Non-Linear Regression 15. Polynomial Interpolation 16. Splines and Piecewise Interpolation Part Five Integration and Differentiation 17. Numerical Integration Formulas 18. Numerical Integration of Functions 19. Numerical Differentiation Part Six Ordinary Differential Equations 20. Initial-Value Problems 21. Adaptive Methods and Stiff Systems 22. Boundary-Value Problems Appendix A: Eigenvalues Appendix B: MATLAB Built-in Functions Appendix C: MATLAB M-File Functions Bibliography Index