Python library for finding the optimal transformation(s) that makes two matrices as close as possible to each other.
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Updated
Jan 3, 2023 - Python
Python library for finding the optimal transformation(s) that makes two matrices as close as possible to each other.
Contains implementations of cache-optimized and external memory algorithms.
A lightweight OBJ file renderer written in C# using the SFML library.
This project was created on Modern OpenGL . It simulates randomly falling particles (here leafs) . Simulation is free from any repetitive patterns
A Julia mini-package for efficiently applying elements of the symmetry group of a square to matrices.
A basic 3D model visualization system that implements a hierarchy system for each model transformation, lighting and sutherland-hodgman polygon clipping algorithm. Everything is documented, can be used as a resource for learning.
We're stuck in the matrix!
Understanding linear transformations with the help of python.
A tool to help visualise and experiment with matrix transformations on a plane.
A position/vector transformation library, making it easy to manipulate 3D coordinate systems. Vectors can be in Cartesian, Spherical, or Cylindrical format, and the library includes matrix utilities for efficient mass-transformation.
Manage your work and study time regularly.
Proyecto 7 - Graficación
Parallel calculation of dependency transformation
Proyecto 4 - Graficación
render 3D wireframe of an elevation map
Proyecto 3 - Graficación
Proyecto 5 - Graficación
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