Detecting intrinsic slow variables in stochastic dynamical systems by anisotropic diffusion maps.

Detecting intrinsic slow variables in stochastic dynamical systems by anisotropic diffusion maps.

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Nonlinear independent component analysis is combined with diffusion-map data analysis techniques to detect good observables in high-dimensional dynamic data. These detections are achieved by integrating local principal component analysis of simulation bursts by using eigenvectors of a Markov matrix...

書目詳細資料
Main Authors:	Singer, A, Erban, R, Kevrekidis, I, Coifman, R
格式:	Journal article
語言:	English
出版:	2009

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