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Low-Rank, Multi-Fidelity Methods for Uncertainty Quantification of High-Dimensional Systems
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Fairbanks, H. R. |
| 단체저자명 | University of Colorado at Boulder. Applied Mathematics. |
| 서명/저자사항 | Low-Rank, Multi-Fidelity Methods for Uncertainty Quantification of High-Dimensional Systems. |
| 발행사항 | [S.l.] : University of Colorado at Boulder., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 194 p. |
| 소장본 주기 | School code: 0051. |
| ISBN | 9780355966053 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisers: Alireza Doostan |
| 요약 | Characterizing and incorporating uncertainties when simulating physical phenomena is essential for improving model-based predictions. These uncertainties may stem from a lack of knowledge regarding the underlying physical processes or from impre |
| 요약 | For systems exhibiting high-dimensional uncertainty, performing either forward or inverse UQ presents a significant computational challenge, as these methods require a large number forward solves of the high-fidelity model, that is, the model th |
| 요약 | To reduce the cost of performing UQ on high-dimensional systems, we apply multi-fidelity strategies to both the forward problem, in order to estimate moments of the quantity of interest, and inverse problem, to approximate the posterior covarian |
| 일반주제명 | Applied mathematics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14997705 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00027302 | 519 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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