Optimization for Chemical and Biochemical Engineering: Theory, Algorithms, Modeling and Applications - Couverture rigide

Livre 31 sur 36: Cambridge Series in Chemical Engineering

Vassiliadis, Vassilios S.; Kähm, Walter; Del Rio Chanona, Ehecatl Antonio; Yuan, Ye

 
9781107106833: Optimization for Chemical and Biochemical Engineering: Theory, Algorithms, Modeling and Applications
Couverture rigide
ISBN 10 : 1107106834 ISBN 13 : 9781107106833
Editeur : Cambridge University Press, 2021

Synopsis

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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À propos des auteurs

Vassilios S. Vassiliadis is a Senior Lecturer in the Department of Chemical Engineering at the University of Cambridge. He is also the CEO and CTO of the spin-out company, Cambridge Simulation Solutions LTD.

Walter Kähm, a former PhD student under Vassilios S. Vassiliadis, is a process engineer in the chemical sector.

Ehecatl Antonio del Rio-Chanona is a lecturer and head of the optimization and machine learning for the process systems engineering group in the Department of Chemical Engineering and the Centre for Process Systems Engineering (CPSE) at Imperial College London.

Ye Yuan is currently a professor at Huazhong University of Science and Technology.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Cambridge University Press
Date d'édition
2021
Langue
anglais
ISBN 10 
1107106834
ISBN 13 
9781107106833
Reliure
Relié
Nombre de pages
350
Coordonnées du fabricant
non disponible
Personne responsable
Avery
https://www.avery.fr/

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