Optimization for chemical and biochemical engineering : theory, algorithms, modeling and applications
Contributor(s): Vassiliadis, Vassilios S | Kähm, Walter | Chanona, Ehecatl Antonio del Rio | Yuan, Ye.
Series: Cambridge series in chemical engineering. / edited by Arvind Varma.Publisher: Cambridge Cambridge Universtiy Press 2020Description: xiii, 337p.ISBN: 9781107106833.Subject(s): Mathematical optimization | Algorithms | Chemical engineeringDDC classification: 660 | Op7 Summary: 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.| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books
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PK Kelkar Library, IIT Kanpur | General Stacks | 660 Op7 (Browse shelf) | Available | A185495 |
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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