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

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

अन्य संस्करण दिखाएं (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...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों:	Singer, A, Erban, R, Kevrekidis, I, Coifman, R
स्वरूप:	Journal article
प्रकाशित:	PNAS 2009

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