Original price was: $94.99.$24.99Current price is: $24.99.
Access Optimization for Chemical and Biochemical Engineering Theory, Algorithms, Modeling and Applications Now. Discount up to 90%
| Full Title | Optimization for Chemical and Biochemical Engineering Theory, Algorithms, Modeling and Applications |
|---|---|
| Author(s) | Vassilios S. Vassiliadis, Walter Kähm, Ehecatl Antonio del Rio Chanona, Ye Yuan |
| Edition | |
| ISBN | 9781108916127, 9781107106833 |
| Publisher | Cambridge University Press |
| Format | PDF and EPUB |
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.
Original price was: $94.99.$24.99Current price is: $24.99.
Access Optimization for Chemical and Biochemical Engineering Theory, Algorithms, Modeling and Applications Now. Discount up to 90%
| Full Title | Optimization for Chemical and Biochemical Engineering Theory, Algorithms, Modeling and Applications |
|---|---|
| Author(s) | Vassilios S. Vassiliadis, Walter Kähm, Ehecatl Antonio del Rio Chanona, Ye Yuan |
| Edition | |
| ISBN | 9781108916714, 9781107106833 |
| Publisher | Cambridge University Press |
| Format | PDF and EPUB |
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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