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020 ▼a 9780438416536
035 ▼a (MiAaPQ)AAI10827015
035 ▼a (MiAaPQ)ucsb:13890
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 519
1001 ▼a Deweese, Kevin.
24510 ▼a Bridging the Theory-Practice Gap of Laplacian Linear Solvers.
260 ▼a [S.l.] : ▼b University of California, Santa Barbara., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 115 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
500 ▼a Adviser: John R. Gilbert.
5021 ▼a Thesis (Ph.D.)--University of California, Santa Barbara, 2018.
520 ▼a 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
520 ▼a This work considers the latter possibility
520 ▼a 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
590 ▼a School code: 0035.
650 4 ▼a Applied mathematics.
650 4 ▼a Computer science.
690 ▼a 0364
690 ▼a 0984
71020 ▼a University of California, Santa Barbara. ▼b Computer Science.
7730 ▼t Dissertation Abstracts International ▼g 80-02B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0035
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998967 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자