Gentlest ascent dynamics (GAD) (1) is an algorithm for finding saddle points of dynamical systems. We propose an extension of GAD to manifolds defined by point-clouds that finds saddle points combining nonlinear dimensionality reduction and adaptive sampling.
Jun 6, 2023
Feb 9, 2023 · In this paper, we present an extension of GAD to manifolds defined by point-clouds, formulated using the intrinsic viewpoint.
Source code for Gentlest Ascent Dynamics on manifolds defined by adaptively sampled point-clouds. Graphs showing the Müller-Brown potential on a regular ...
In this paper, we present an extension of GAD to manifolds defined by point-clouds and formulated intrinsically. These point-clouds are adaptively sampled ...
defined by adaptively sampled point-clouds. Juan M. Bello-Rivas ... In this paper, we study an application of the GAD to manifolds defined by point-clouds.
#Source code for Gentlest Ascent Dynamics on manifolds defined by adaptively sampled point-clouds. Graphs showing the Müller-Brown potential on a regular ...
Bello-Rivas J. M. et al. Gentlest Ascent Dynamics on Manifolds Defined by Adaptively Sampled Point-Clouds // Journal of Physical Chemistry B. 2023. Vol. 127. No ...
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Jun 6, 2023 · Bello-Rivas J. M. et al. Gentlest Ascent Dynamics on Manifolds Defined by Adaptively Sampled Point-Clouds // Journal of Physical Chemistry B.
Gentlest Ascent Dynamics on Manifolds Defined by Adaptively Sampled Point-Clouds. Author: Bello-Rivas, Juan M. Georgiou, Anastasia ; Vandecasteele, Hannes ...