| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000329828 |
| 005 | | 20241016154842 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438350830 |
| 035 | |
▼a (MiAaPQ)AAI10823599 |
| 035 | |
▼a (MiAaPQ)umn:19205 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 658 |
| 100 | 1 |
▼a Li, Xiaobo. |
| 245 | 10 |
▼a Convex Optimization and Online Learning: Their Applications in Discrete Choice Modeling and Pricing. |
| 260 | |
▼a [S.l.] :
▼b University of Minnesota.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 141 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Advisers: Shuzhong Zhang |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Minnesota, 2018. |
| 520 | |
▼a The discrete choice model has been an important tool to model customers' demand when facing a set of substitutable choices. The random utility model, which is the most commonly used discrete choice framework, assumes that the utility of each alt |
| 590 | |
▼a School code: 0130. |
| 650 | 4 |
▼a Industrial engineering. |
| 650 | 4 |
▼a Operations research. |
| 650 | 4 |
▼a Applied mathematics. |
| 690 | |
▼a 0546 |
| 690 | |
▼a 0796 |
| 690 | |
▼a 0364 |
| 710 | 20 |
▼a University of Minnesota.
▼b Industrial and Systems Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0130 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998583
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |