Numerical Methods in Chemical Engineering Using Python® and Simulink®
eBook - ePub

Numerical Methods in Chemical Engineering Using Python® and Simulink®

  1. 366 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Numerical Methods in Chemical Engineering Using Python® and Simulink®

About this book

Numerical methods are vital to the practice of chemical engineering, allowing for the solution of real-world problems. Written in a concise and practical format, this textbook introduces readers to the numerical methods required in the discipline of chemical engineering and enables them to validate their solutions using both Python and Simulink.

  • Introduces numerical methods, followed by the solution of linear and nonlinear algebraic equations
  • Deals with the numerical integration of a definite function and solves initial and boundary value ordinary differential equations with different orders
  • Weaves in examples of various numerical methods and validates solutions to each with Python and Simulink graphical programming
  • Features appendices on how to use Python and Simulink

Aimed at advanced undergraduate and graduate chemical engineering students, as well as practicing chemical engineers, this textbook offers a guide to the use of two of the most widely used programs in the discipline.

The textbook features numerous video lectures of applications and a solutions manual for qualifying instructors.

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Yes, you can access Numerical Methods in Chemical Engineering Using Python® and Simulink® by Nayef Ghasem in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Materials Science. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Acknowledgment
  7. Author
  8. Chapter 1 Introduction
  9. Chapter 2 Numerical Solutions of Linear Systems
  10. Chapter 3 Bracketing Numerical Methods for Solving Systems of Nonlinear Equations
  11. Chapter 4 Open Numerical Methods for Solving Systems of Nonlinear Equations
  12. Chapter 5 Initial Value Problem Differential Equations
  13. Chapter 6 Numerical Integration of Definite Functions
  14. Chapter 7 Numerical Solution of Ordinary Differential Equations
  15. Chapter 8 Simultaneous Systems of Differential Equations
  16. Chapter 9 Boundary Value Problems of Ordinary Differential Equations
  17. Appendix A: Python Programming Code
  18. Appendix B: Introduction to Simulink
  19. Index