<p><em>Advances in Stochastic Modelling and Data Analysis</em> presents the most recent developments in the field, together with their applications, mainly in the areas of insurance, finance, forecasting and marketing. In addition, the possible interactions between data analysis, artificial intellig
Advanced Data Analysis & Modelling in Chemical Engineering
β Scribed by Denis Constales, Gregory S. Yablonsky, Dagmar R. D'hooge, Joris W. Thybaut, Guy B. Marin
- Publisher
- Elsevier
- Year
- 2016
- Tongue
- English
- Leaves
- 399
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Advanced Data Analysis and Modeling in Chemical Engineering provides the mathematical foundations of different areas of chemical engineering and describes typical applications. The book presents the key areas of chemical engineering, their mathematical foundations, and corresponding modeling techniques.
Modern industrial production is based on solid scientific methods, many of which are part of chemical engineering. To produce new substances or materials, engineers must devise special reactors and procedures, while also observing stringent safety requirements and striving to optimize the efficiency jointly in economic and ecological terms. In chemical engineering, mathematical methods are considered to be driving forces of many innovations in material design and process development.
- Presents the main mathematical problems and models of chemical engineering and provides the reader with contemporary methods and tools to solve them
- Summarizes in a clear and straightforward way, the contemporary trends in the interaction between mathematics and chemical engineering vital to chemical engineers in their daily work
- Includes classical analytical methods, computational methods, and methods of symbolic computation
- Covers the latest cutting edge computational methods, like symbolic computational methods
β¦ Table of Contents
Content:
Front Matter,Copyright,PrefaceEntitled to full textChapter 1 - Introduction, Pages 1-8
Chapter 2 - Chemical Composition and Structure: Linear Algebra, Pages 9-34
Chapter 3 - Complex Reactions: Kinetics and Mechanisms β Ordinary Differential Equations β Graph Theory, Pages 35-82
Chapter 4 - Physicochemical Principles of Simplification of Complex Models, Pages 83-103
Chapter 5 - Physicochemical Devices and Reactors, Pages 105-157
Chapter 6 - Thermodynamics, Pages 159-220
Chapter 7 - Stability of Chemical Reaction Systems, Pages 221-265
Chapter 8 - Optimization of Multizone Configurations, Pages 267-284
Chapter 9 - Experimental Data Analysis: Data Processing and Regression, Pages 285-306
Chapter 10 - Polymers: Design and Production, Pages 307-349
Chapter 11 - Advanced Theoretical Analysis in Chemical Engineering: Computer Algebra and Symbolic Calculations, Pages 351-393
Index, Pages 395-399
β¦ Subjects
Chemical engineering;Mathematics
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