Python wrapper for the monotone discretization problem in 2D and 3D Cartesian grids (join work with Jeff Calder (UMN))
Project description
monotone schemes for solving curvature motion PDEs
by Jeff Calder (UMN) and Wonjun Lee (UMN)
This repository contains c++ and python codes for running the monotone algorithm to solve curvature motion PDEs. Here are list of PDEs that can be solved using this algorithm.
Eikonal equation
$$ |\nabla u(x)| = f(x), \quad x \in \Omega $$ $$ x = 0, \quad x \in \partial \Omega $$
Mean curvature PDE
$$ |\nabla u(x)|\kappa(x) = f(x), \quad x \in \Omega $$ $$ x = 0, \quad x \in \partial \Omega $$ where $\kappa(x) = - \text{div}\left( \frac{\nabla u}{|\nabla u|} \right)$.
Tukey Depth
$$ |\nabla u(x)| = \int_{(y-x)\cdot \nabla u(x) = 0} \rho(y) dS(y), \quad x \in \Omega.$$
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