Advanced Data Analysis and Modelling in Chemical Engineering
By:Denis Constales,Gregory S. Yablonsky,Dagmar R. D'hooge,Joris W. Thybaut,Guy B. Marin
Published on 2016-08-23 by Elsevier
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
This Book was ranked at 34 by Google Books for keyword Data Processing.
Book ID of Advanced Data Analysis and Modelling in Chemical Engineering's Books is IQ6dBAAAQBAJ, Book which was written byDenis Constales,Gregory S. Yablonsky,Dagmar R. D'hooge,Joris W. Thybaut,Guy B. Marinhave ETAG "j1IKoJ/3WGw"
Book which was published by Elsevier since 2016-08-23 have ISBNs, ISBN 13 Code is 9780444594846 and ISBN 10 Code is 0444594841
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Book which have "414 Pages" is Printed at BOOK under CategoryTechnology and Engineering
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