Numerical Methods with Chemical Engineering Applications
eBook - PDF

Numerical Methods with Chemical Engineering Applications

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Numerical Methods with Chemical Engineering Applications

About this book

Designed primarily for undergraduates, but also graduates and practitioners, this textbook integrates numerical methods and programming with applications from chemical engineering. Combining mathematical rigor with an informal writing style, it thoroughly introduces the theory underlying numerical methods, its translation into MATLAB programs, and its use for solving realistic problems. Specific topics covered include accuracy, convergence and numerical stability, as well as stiffness and ill-conditioning. MATLAB codes are developed from scratch, and their implementation is explained in detail, all while assuming limited programming knowledge. All scripts employed are downloadable, and built-in MATLAB functions are discussed and contextualised. Numerous examples and homework problems - from simple questions to extended case studies - accompany the text, allowing students to develop a deep appreciation for the range of real chemical engineering problems that can be solved using numerical methods. This is the ideal resource for a single-semester course on numerical methods, as well as other chemical engineering courses taught over multiple semesters.

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Yes, you can access Numerical Methods with Chemical Engineering Applications by Kevin D. Dorfman,Prodromos Daoutidis in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Chemical & Biochemical Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title page
  3. Series page
  4. Title page
  5. Copyright page
  6. Contents
  7. List of Illustrations
  8. List of Tables
  9. List of Programs
  10. Preface
  11. Epigraph
  12. Acknowledgments
  13. 1 Mathematical Modeling and Structured Programming
  14. 2 Linear Algebraic Equations
  15. 3 Nonlinear Algebraic Equations
  16. 4 Initial Value Problems
  17. 5 Dynamical Systems
  18. 6 Boundary Value Problems
  19. 7 Partial Differential Equations
  20. 8 Interpolation and Integration
  21. Appendix A MATLAB ''Tutorial''
  22. Appendix B Determinant of a Matrix
  23. Index