Python implementation of the paper "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002
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Updated
Aug 14, 2023 - Python
Python implementation of the paper "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002
A mini–C++ Geometry processing library based on a code skeleton provided by CMU’s Discrete Differential Geometry course & Geometry Central
3D computational model for lipid membranes
This repository contains the python implementation of the paper titled "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002 http://multires.caltech.edu/pubs/diffGeoOps.pdf
🍩 Solutions to exercises in Discrete Differential Geometry
PyTorch CUDA extension for fast construction of discrete differential operators on triangle meshes
A toolkit for discrete calculus.
Active nematics on curved surfaces
Python library for differential geometry, providing numerical tools for intrinsic geometric computations and PDE solving on manifolds.
Conformal transformation of a triangular mesh.
Classification and denosing for noisy meshes.
Vesuvius challenge topological and geometric analysis of scrolls and fragments
Slides, Paper, Notes, and my implementation for the Assignment
Delaunay Mesh Triangulation is a computational geometry technique that generates a high-quality triangulation from a given set of 2D, 3D and higher dimensional points. It is widely used in finite element methods (FEM), computer graphics, interpolation, and adaptive mesh refinement.
Stokes flow of an Evolving Surface
Estimating forces on the membrane by ActuAtor
CS 15-458/858: Discrete Differential Geometry
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