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020 ▼a 9780438026391
035 ▼a (MiAaPQ)AAI10812766
035 ▼a (MiAaPQ)cornellgrad:10788
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 658
1001 ▼a Guo, Jiayi. ▼0 (orcid)0000-0002-1136-2387.
24510 ▼a Smooth Quasi-Newton Methods for Nonsmooth Optimization.
260 ▼a [S.l.]: ▼b Cornell University., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 104 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Adrian Lewis.
5021 ▼a Thesis (Ph.D.)--Cornell University, 2018.
520 ▼a The success of Newton's method for smooth optimization, when Hessians are available, motivated the idea of quasi-Newton methods, which approximate Hessians in response to changes in gradients and result in superlinear convergence on smooth funct
590 ▼a School code: 0058.
650 4 ▼a Operations research.
690 ▼a 0796
71020 ▼a Cornell University. ▼b Operations Research.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0058
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998039 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033