Optimization in Chemical Engineering
eBook - PDF

Optimization in Chemical Engineering

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

Optimization in Chemical Engineering

About this book

Optimization is used to determine the most appropriate value of variables under given conditions. The primary focus of using optimisation techniques is to measure the maximum or minimum value of a function depending on the circumstances. This book discusses problem formulation and problem solving with the help of algorithms such as secant method, quasi-Newton method, linear programming and dynamic programming. It also explains important chemical processes such as fluid flow systems, heat exchangers, chemical reactors and distillation systems using solved examples. The book begins by explaining the fundamental concepts followed by an elucidation of various modern techniques including trust-region methods, Levenberg–Marquardt algorithms, stochastic optimization, simulated annealing and statistical optimization. It studies the multi-objective optimization technique and its applications in chemical engineering and also discusses the theory and applications of various optimization software tools including LINGO, MATLAB, MINITAB and GAMS.

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Yes, you can access Optimization in Chemical Engineering by Suman Dutta 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. Optimization in Chemical Engineering
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. List of Figures
  8. List of Tables
  9. Preface
  10. Chapter 1: A Brief Discussion on Optimization
  11. Chapter 2: Formulation of Optimization Problems in Chemical and Biochemical Engineering
  12. Chapter 3: Single Variable Unconstrained Optimization Methods
  13. Chapter 4: Trust-Region Method
  14. Chapter 5: Optimization of Unconstrained Multivariable Functions
  15. Chapter 6: Multivariable Optimization with Constraints
  16. Chapter 7: Optimization of Staged and Discrete Processes
  17. Chapter 8: Some Advanced Topics on Optimization
  18. Chapter 9: Nontraditional Optimization
  19. Chapter 10: Optimization of Various Chemical and Biochemical Processes
  20. Chapter 11: Statistical Optimization
  21. Chapter 12: Software Tools for Optimization Processes
  22. Multiple Choice Questions – 1
  23. Multiple Choice Questions – 2
  24. Multiple Choice Questions – 3
  25. Index