가야대학교 분성도서관
주메뉴
자료검색
- Home
- 상세정보
상세정보
부가기능
On Particle Methods for Uncertainty Quantification in Complex Systems
상세 프로파일
| 자료유형 | E-Book |
|---|---|
| 개인저자 | Yang, Chao. |
| 단체저자명 | The Ohio State University. Mechanical Engineering. |
| 서명/저자사항 | On Particle Methods for Uncertainty Quantification in Complex Systems. |
| 발행사항 | [S.l.] : The Ohio State University., 2017 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2017 |
| 형태사항 | 221 p. |
| 소장본 주기 | School code: 0168. |
| ISBN | 9780438098268 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Mrinal Kumar. |
| 요약 | This dissertation aims to study three crucial problems related to Monte Carlo based particle methods for solving uncertainty quantification problems in complex systems. The first problem concerns the existence of a "benchmark" sampling method th |
| 요약 | Inspired by the new MCMC-MOC approach, a second problem on the transient effectiveness of MCS is posed in the context of Markov chain Monte Carlo theory. The propagated ensemble is viewed as the realization of a Markov chain at each time instant |
| 요약 | The third and final problem addressed in this dissertation is the following: "is it possible to develop adaptation rules for MCS such that it may perform within prescribed bounds of accuracy using the "minimum" possible number of simulations at |
| 일반주제명 | Mechanical engineering. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15000309 |
소장정보
- 소장정보
인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00025001 | DP 621 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
|
카피라이터
