Advanced Data Analysis and Modelling in Chemical Engineering

Nonfiction, Science & Nature, Technology, Engineering, Chemical & Biochemical, Computers, Application Software, Business Software, Mathematics
Cover of the book Advanced Data Analysis and Modelling in Chemical Engineering by Denis Constales, Gregory S. Yablonsky, Dagmar R. D'hooge, Joris W. Thybaut, Guy B. Marin, Elsevier Science
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Author: Denis Constales, Gregory S. Yablonsky, Dagmar R. D'hooge, Joris W. Thybaut, Guy B. Marin ISBN: 9780444594846
Publisher: Elsevier Science Publication: August 23, 2016
Imprint: Elsevier Language: English
Author: Denis Constales, Gregory S. Yablonsky, Dagmar R. D'hooge, Joris W. Thybaut, Guy B. Marin
ISBN: 9780444594846
Publisher: Elsevier Science
Publication: August 23, 2016
Imprint: Elsevier
Language: English

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
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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.

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