| 000 | 01673 a2200265 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 020 | _a 9781107106833 | ||
| 040 | _cIIT Kanpur | ||
| 041 | _aeng | ||
| 082 |
_a660 _bOp7 |
||
| 245 |
_aOptimization for chemical and biochemical engineering _btheory, algorithms, modeling and applications _cVassilios S. Vassiliadis ...[et al.] |
||
| 260 |
_bCambridge Universtiy Press _c2020 _aCambridge |
||
| 300 | _axiii, 337p | ||
| 440 | _aCambridge series in chemical engineering | ||
| 490 | _a/ edited by Arvind Varma | ||
| 520 | _aDiscover 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. | ||
| 650 | _aMathematical optimization | ||
| 650 | _aAlgorithms | ||
| 650 | _aChemical engineering | ||
| 700 | _aVassiliadis, Vassilios S. | ||
| 700 | _aKähm, Walter | ||
| 700 | _aChanona, Ehecatl Antonio del Rio | ||
| 700 | _aYuan, Ye | ||
| 942 | _cBK | ||
| 999 |
_c565124 _d565124 |
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