ADM-CLE approach for detecting slow variables in continuous time Markov chains and dynamic data
A method for detecting intrinsic slow variables in high-dimensional stochastic chemical reaction networks is developed and analyzed. It combines anisotropic diffusion maps (ADM) with approximations based on the chemical Langevin equation (CLE). The resulting approach, called ADM-CLE, has the potenti...
Những tác giả chính: | Cucuringu, M, Erban, R |
---|---|
Định dạng: | Journal article |
Được phát hành: |
2015
|
Những quyển sách tương tự
-
ADM-CLE approach for detecting slow variables in continuous time Markov chains and dynamic data
Bằng: Cucuringu, M, et al.
Được phát hành: (2017) -
From Brownian Dynamics to Markov Chain: an Ion Channel Example
Bằng: Chen, W, et al.
Được phát hành: (2012) -
From Brownian dynamics to Markov chain: an ion channel example
Bằng: Chen, W, et al.
Được phát hành: (2012) -
Lumpability for uncertain continuous-time Markov chains
Bằng: Cardelli, L, et al.
Được phát hành: (2021) -
Matrix Analysis for Continuous-Time Markov Chains
Bằng: Le Hung V., et al.
Được phát hành: (2021-12-01)