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

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

Бусад хувилбаруудыг харуулах (1)

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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Singer, A, Erban, R, Kevrekidis, I, Coifman, R
Формат:	Journal article
Хэвлэсэн:	PNAS 2009

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