Fast and reliable implementation of the Gilbert-Johnson-Keerthi (GJK) algorithm for C, C++, C#, Go, Matlab, Octave, Python and Zig
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Updated
Apr 10, 2026 - C++
Fast and reliable implementation of the Gilbert-Johnson-Keerthi (GJK) algorithm for C, C++, C#, Go, Matlab, Octave, Python and Zig
Implementations of the GJK and EPA algorithm for performing proximity queries on pair of convex shapes
Implementation of GJK algorithm in 2D
C++ проект для вычисления минимального расстояния между 3D-моделями в формате STL. В основе лежат алгоритмы GJK, KD-дерева и AABB-дерева, обеспечивающие точный и быстрый анализ геометрии. Проект подходит для задач компьютерной графики, 3D-печати и инженерного анализа.
A CUDA implementation of openGJK, with GJK and EPA algorithms for massively parallel collision detection between convex polytopes. Up to 37x speedup over CPU.
Real-time oriented 3d collision detection library
Drone simulator with procedurally generated terrain and collision system
2D physics simulation with Vulkan
3D implementation of GJK in c++ using barycentric coordinates and voronoi inspection
Project for Computational Geometry class.
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