Implementations of the GJK and EPA algorithm for performing proximity queries on pair of convex shapes
GPU-based Exact Closest/Furthest Pair Search
data structures and algorithms implemented in Python
A Multi object detection and tracking with yolov7 inference.
a QGIS-plugin to calculate the closest points for one layer to another
Closest pair problem in 3D space using divide and conquer algorithm. Brute-force vs. divide and conquer approach complexity analysis.
algorithm design projects focused on fundamental algorithms, including their specifications, approaches, and implementations in C/C++.
Parallel MPI implementation of Bruteforce and Divide et Impera approaches to solve the Closest Pair of Points problem leveraging the HPC infrastructure provided by the University of Trento
The implementation in C++ of the closest-pair doubling algorithm which finds the smallest distance between two points in a metric space in O(n log n) time without directly using the points' coordinates.
🐍 Python implementation to find the closest pair of points in a three-dimensional space
My Data-Structures and Algorithms codes for CSE 203 Course.
Simple GUI for Closest Pair Problem using DnC and BF
Simple closest pair problem solution with python 🧩
MPI parallel implementation of bruteforce and divide et impera approaches to the Closest Pair of Points problem
Python library for finding the closest pairs in an array
Given an array consisting of n distinct points[p1[x1, y1] ... pn[xn, yn]]. Find the closest pair of points using a Divide-and-Conquer Algorithm with asymptotic complexity of O(N log N)
Closest pair problem adalah masalah dalam geometri komputasi yang mencari pasangan titik terdekat dari sekumpulan titik di suatu ruang. Ada beberapa algoritma yang dikembangkan untuk menyelesaikan masalah ini dengan lebih efisien, seperti algoritma divide-and-conquer.
C implementation of Closest Pair Problem.
Projeto e implementação de uma classe e funções para resolução de problemas clássicos de geometria computacional. Trabalho realizado no 6º período de Ciência da Computação do Instituto Federal de Minas Gerais(IFMG) - Campus Formiga para a Disciplina Projeto e Análise de Algoritmos
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