Numerical Methods for Scientists and Engineers
eBook - ePub

Numerical Methods for Scientists and Engineers

With Pseudocodes

  1. 784 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Numerical Methods for Scientists and Engineers

With Pseudocodes

About this book

Numerical Methods for Scientists and Engineers: With Pseudocodes is designed as a primary textbook for a one-semester course on Numerical Methods for sophomore or junior-level students. It covers the fundamental numerical methods required for scientists and engineers, as well as some advanced topics which are left to the discretion of instructors.

The objective of the text is to provide readers with a strong theoretical background on numerical methods encountered in science and engineering, and to explain how to apply these methods to practical, real-world problems. Readers will also learn how to convert numerical algorithms into running computer codes.

Features

  • Numerous pedagogic features including exercises, "pros and cons" boxes for each method discussed, and rigorous highlighting of key topics and ideas
  • Suitable as a primary text for undergraduate courses in numerical methods, but also as a reference to working engineers
  • A Pseudocode approach that makes the book accessible to those with different (or no) coding backgrounds, which does not tie instructors to one particular language over another
  • A dedicated website featuring additional code examples, quizzes, exercises, discussions, and more: https://github.com/zaltac/NumMethodsWPseudoCodes
  • A complete Solution Manual and Power Point Presentations are available (free of charge) to instructors at www.routledge.com/9781032754741

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Yes, you can access Numerical Methods for Scientists and Engineers by Zekeriya Altaç in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. List of Figures
  9. List of Tables
  10. Preface
  11. Author Bio
  12. Chapter 1 ◾ Numerical Algorithms and Errors
  13. Chapter 2 ◾ Linear Systems: Fundamentals and Direct Methods
  14. Chapter 3 ◾ Linear Systems: Iterative Methods
  15. Chapter 4 ◾ Nonlinear Equations
  16. Chapter 5 ◾ Numerical Differentiation
  17. Chapter 6 ◾ Interpolation and Extrapolation
  18. Chapter 7 ◾ Least Squares Regression
  19. Chapter 8 ◾ Numerical Integration
  20. Chapter 9 ◾ ODEs: Initial Value Problems
  21. Chapter 10 ◾ ODEs: Boundary Value Problems
  22. Chapter 11 ◾ Eigenvalues and Eigenvalue Problems
  23. Appendix A ◾ A Guide on How to Read and Write a Pseudocode
  24. Appendix B ◾ Quadratures
  25. Bibliography
  26. References
  27. Index