A scalable approach to the computation of invariant measures for high-dimensional Markovian systems-Reference-Cited by-同舟云学术

A scalable approach to the computation of invariant measures for high-dimensional Markovian systems

Published:2018-01-29 Issue:1 Volume:8 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Gerber Susanne,Olsson Simon^ORCID,Noé Frank^ORCID,Horenko Illia

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-018-19863-4.pdf

Reference42 articles.

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2. Dellnitz, M., Hohmann, A., Junge, O. & Rumpf, M. Exploring invariant sets and invariant measures. Chaos 7(2), 221–228 (1997).

3. Dellnitz, M. & Junge, O. On the approximation of complicated dynamical behavior. SIAM Journal on Numerical Analysis 36, 491–515 (1999).

4. Imkeller, P. & Kloeden, P. On the computation of invariant measures in random dynamical systems. Stochastics and Dynamics 3, 247–265 (2003).

5. Chorin, A. J. & Hald, O. H. Stochastic Tools in Mathematics and Science (Springer, 2006).

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