A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition

标题
A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition
作者
关键词
Data mining, Koopman spectral analysis, Set oriented methods, Spectral methods, Reduced order models, Primary: 65P99, 37M25, Secondary: 47B33
出版物
JOURNAL OF NONLINEAR SCIENCE
Volume 25, Issue 6, Pages 1307-1346
出版商
Springer Nature
发表日期
2015-06-04
DOI
10.1007/s00332-015-9258-5

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started