
Optimization for Chemical and Biochemical Engineering
Theory, Algorithms, Modeling and Applications
- English
- PDF
- Available on iOS & Android
Optimization for Chemical and Biochemical Engineering
Theory, Algorithms, Modeling and Applications
About this book
Discover the subject of optimization in a new light with this modern and unique treatment. Includes a thorough exposition of applications and algorithms in sufficient detail for practical use, while providing you with all the necessary background in a self-contained manner. Features a deeper consideration of optimal control, global optimization, optimization under uncertainty, multiobjective optimization, mixed-integer programming and model predictive control. Presents a complete coverage of formulations and instances in modelling where optimization can be applied for quantitative decision-making. As a thorough grounding to the subject, covering everything from basic to advanced concepts and addressing real-life problems faced by modern industry, this is a perfect tool for advanced undergraduate and graduate courses in chemical and biochemical engineering.
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Information
Table of contents
- Cover
- Half-title
- Series information
- Title page
- Copyright information
- Contents
- Notation
- Preface
- Part I Overview of Optimization: Applications and Problem Formulations
- Part II From General Mathematical Background to General Nonlinear Programming Problems (NLP)
- Part III Formulation and Solution of Linear Programming (LP) Problems
- Index