Source code accompanying paper on gentlest ascent dynamics on manifolds defined by point-clouds

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#Source code for Gentlest Ascent Dynamics on manifolds defined by adaptively sampled point-clouds

Graphs showing the Müller-Brown potential on a regular surface and one of its saddle points as detected by gentlest ascent dynamics


This is the source code accompanying the paper J. M. Bello-Rivas, A. Georgiou, H. Vandecasteele, and I. G. Kevrekidis, Gentlest Ascent Dynamics on Manifolds Defined by Adaptively Sampled Point-Clouds, arXiv:2302.04426 (2023).


python -m pip install .

#Running the examples

#Simple potential on a sphere

python examples/simple_sphere.py

#Müller-Brown potential on a regular surface

python examples/muller_brown_regular_surface.py