Advanced Data Analysis and Modelling in Chemical Engineering
| By: | Denis Constales; Gregory S. Yablonsky; Dagmar R. D'hooge; Joris W. Thybaut; Guy B. Marin |
| Publisher: | Elsevier S & T |
| Print ISBN: | 9780444594853 |
| eText ISBN: | 9780444594846 |
| Edition: | 0 |
| Copyright: | 2017 |
| Format: | Reflowable |
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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