LDR | | 02027nmm uu200397 4500 |
001 | | 000000333303 |
005 | | 20240805172757 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438048003 |
035 | |
▼a (MiAaPQ)AAI10816009 |
035 | |
▼a (MiAaPQ)princeton:12533 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 660 |
100 | 1 |
▼a Matthews, Logan Ryan. |
245 | 10 |
▼a Advancing Robust Optimization for Process Systems Engineering Applications. |
260 | |
▼a [S.l.] :
▼b Princeton University.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 321 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
500 | |
▼a Adviser: Ioannis G. Kevrekidis. |
502 | 1 |
▼a Thesis (Ph.D.)--Princeton University, 2018. |
520 | |
▼a Robust optimization is a popular method for incorporating parameter uncertainty into optimization models. Whether parameters represent the price of a feedstock or product, the operability of an edge in a network, or length of time required for a |
520 | |
▼a This dissertation seeks to expand the theory and application of robust optimization for problems in process systems engineering. Theoretically, this focuses on decreasing the conservatism and increasing the applicability of robust optimization m |
520 | |
▼a Robust optimization is also shown to be effective in two major application areas. First, it is applied to process synthesis and global optimization of liquid transportation fuel refineries from natural gas and biomass, when feedstock prices, pro |
590 | |
▼a School code: 0181. |
650 | 4 |
▼a Chemical engineering. |
690 | |
▼a 0542 |
710 | 20 |
▼a Princeton University.
▼b Chemical and Biological Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0181 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998214
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |