Applied Numerical Methods for Engineers and Scientists

Author:   Singiresu Rao
Publisher:   Pearson Education (US)
Edition:   United States ed
ISBN:  

9780130894809


Pages:   1080
Publication Date:   25 October 2001
Format:   Paperback
Availability:   Available To Order   Availability explained
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Applied Numerical Methods for Engineers and Scientists


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Overview

For courses in Numerical Methods at junior/senior level This book is also suitable for beginning graduate levels and as a reference for numerical methods in engineering. The availability of inexpensive high-speed computing power makes the numerical solution of even complex engineering problems economically feasible. In the face of ever-increasing demands on the engineering profession to perform better, students preparing to face challenges should learn not only the theory behind the numerical methods, but also acquire the skills needed to implement the methods for computer solution. In addition, students need to be aware of the many commercial software systems available and their appropriate uses in the solution of engineering problems. The student should be in a position to intelligently select and use suitable numerical methods and software systems as the need arises in practice.

Full Product Details

Author:   Singiresu Rao
Publisher:   Pearson Education (US)
Imprint:   Pearson
Edition:   United States ed
Dimensions:   Width: 18.50cm , Height: 4.20cm , Length: 24.00cm
Weight:   1.670kg
ISBN:  

9780130894809


ISBN 10:   013089480
Pages:   1080
Publication Date:   25 October 2001
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

1. Introduction to Numerical Methods 2. Solution of Nonlinear Equations 3. Solution of Simultaneous Linear Algebraic Equations 4. Solution of Matrix Eigenvalue Problem 5. Curve Fitting and Interpolation 6. Statistical Methods 7. Numerical Differentiation 8. Numerical Integration 9. Ordinary Differential Equations: Initial-Value Problems 10. Ordinary Differential Equations: Boundary-Value Problems 11. Partial Differential Equations 12. Optimization 13. Finite-Element Method Appendix A: Basics of Fortran 90 Appendix B: Basics of C Language Appendix C: Basics of MAPLE Appendix D: Basics of MATLAB Appendix E: Basics of MathCAD Appendix F: Review of Matrix Algebra Appendix G: Statistical Tables Index

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