Numerical Methods Fundamentals
eBook - ePub

Numerical Methods Fundamentals

  1. 450 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Numerical Methods Fundamentals

Book details
Table of contents
Citations

About This Book

The book is designed to cover all major aspects of applied numerical methods, including numerical computations, solution of algebraic and transcendental equations, finite differences and interpolation, curve fitting, correlation and regression, numerical differentiation and integration, matrices and linear system of equations, numerical solution of ordinary differential equations, and numerical solution of partial differentialequations. It uses a numerical problem-solving orientation with numerous examples, figures, and end of chapter exercises. Presentations are limited to very basic topics to serve as an introduction to more advanced topics. FEATURES:

  • Emphasizes applications, analytical developments, algorithms, and computational solutions over puretheory
  • Features over 300 problems with step-by-step solutions
  • Includes a review of basic engineering mathematics and partial fraction expansions
  • Provides an understanding, both physical and mathematical, of the basic theory ofnumerical analysis, methods, and their applications

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Yes, you can access Numerical Methods Fundamentals by R. V. Dukkipati in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematical Analysis. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Mercury Learning and Information
Year
2023
ISBN
9781683928690
Topic
Mathematics
Subtopic
Mathematical Analysis
Index
Mathematics

Table of contents

  1. Cover
  2. Halftitle
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Chapter 1: Numerical Computations
  8. Chapter 2: Linear System of Equations
  9. Chapter 3: Solution of Algebraic and Transcendental Equations
  10. Chapter 4: Numerical Differentiation
  11. Chapter 5: Finite Differences and Interpolation
  12. Chapter 6: Curve Fitting, Regression, and Correlation
  13. Chapter 7: Numerical Integration
  14. Chapter 8: Numerical Solution of Ordinary Differential Equations
  15. Bibliography
  16. Appendix A: Partial Fraction Expansions
  17. Appendix B: Basic Engineering Mathematics
  18. Appendix C: Cramer’s Rule
  19. Answers to Selected Exercises
  20. Index