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020 ▼a 9780438175396
035 ▼a (MiAaPQ)AAI10827204
035 ▼a (MiAaPQ)washington:18640
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 519
1001 ▼a Ye, Xiaofeng.
24510 ▼a Stochastic Dynamics: Markov Chains, Random Transformations and Applications.
260 ▼a [S.l.]: ▼b University of Washington., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 148 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Hong Qian.
5021 ▼a Thesis (Ph.D.)--University of Washington, 2018.
520 ▼a Stochastic dynamical systems, as a rapidly growing area in applied mathematics, has been a successful modeling framework for biology, chemistry and data science. Depending upon the origin of uncertainties in an application problem, the theory of
590 ▼a School code: 0250.
650 4 ▼a Applied mathematics.
650 4 ▼a Mathematics.
690 ▼a 0364
690 ▼a 0405
71020 ▼a University of Washington. ▼b Applied Mathematics.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0250
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998998 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033