자료유형 | 학위논문 |
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서명/저자사항 | Bridging the Theory-Practice Gap of Laplacian Linear Solvers. |
개인저자 | Deweese, Kevin. |
단체저자명 | University of California, Santa Barbara. Computer Science. |
발행사항 | [S.l.]: University of California, Santa Barbara., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 115 p. |
기본자료 저록 | Dissertation Abstracts International 80-02B(E). Dissertation Abstract International |
ISBN | 9780438416536 |
학위논문주기 | Thesis (Ph.D.)--University of California, Santa Barbara, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Adviser: John R. Gilbert. |
요약 | Solving Laplacian linear systems is an important task in a variety of practical and theoretical applications. Laplacians of structured graphs, such as two and three dimensional meshes, have long been important in finite element analysis and imag |
요약 | This work considers the latter possibility |
요약 | To challenge existing solver implementations, we propose the use of genetic algorithms to create difficult test graphs for existing solvers. At the same time, these algorithms could be used to find graphs with good performance for recently propo |
일반주제명 | Applied mathematics. Computer science. |
언어 | 영어 |
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: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |