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Applied Numerical Methods : With MATLAB for Engineers and Scientists,9780073132907
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Applied Numerical Methods : With MATLAB for Engineers and Scientists

by
Edition:
2nd
ISBN13:

9780073132907

ISBN10:
007313290X
Format:
Hardcover
Pub. Date:
11/7/2006
Publisher(s):
McGraw-Hill Science/Engineering/Math
Includes 2-weeks free access to
step-by-step solutions for this book.
Step-by-Step solutions are actual worked out problems to the questions at the end of each chapter that help you understand your homework and study for your exams. Chegg and eCampus are providing you two weeks absolutely free. 81% of students said using Step-by-Step solutions prepared them for their exams.

Questions About This Book?

What version or edition is this?
This is the 2nd edition with a publication date of 11/7/2006.
What is included with this book?
  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.

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Summary

Still brief - but with the chapters that you wanted - Steven Chapra's new second edition 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 new second edition feature new material such as Numerical Differentiation and ODE's: Boundary-Value Problems.

Table of Contents

Part One Introduction

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 of Equations: Bracketing Methods

6. Roots of Equations: Open Methods

7. Optimization

Part Three Linear Systems

8. Linear Algebraic Equations and Matrices

9. Gauss Elimination

10. LU Decomposition

11. Matrix Inverse and Condition

12. Iterative Methods for Systems of Equations

Part Four Regression

13. Curve Fitting: Fitting a Straight Line

14. Curve Fitting: General Linear Least-Squares and Non-Linear Regression

Part Five Interpolation

15. Curve Fitting: Polynomial Interpolation

16. Curve Fitting: Splines

Part Six Integration and Differentiation

17. Numerical Intergration Formulas

18. Numerical Intergration Functions

19. Numerical Differentiation

Part Seven Ordinary Differential Equations

20. ODE's: Initial-Value Problems

21. ODE's: Adaptive Methods and Stiff Systems

22. ODE's: Boundary-Value Problems

Appendix A: Eigenvalues Appendix B: Fast Fourier Transform Appendix C: MATLAB Built-in Functions Appendix D: MATLAB M-File Functions Bibliography Index


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