For decades, engineers have utilized Petri nets to develop automated systems with specific functional requirements or ...

We propose a fast and efficient algorithm to cluster 3D point clouds provided by modern LiDAR sensors. The clustering is based on graph theory and local contextual ... into coherent objects using a ...

This project is a Java implementation of the Edmonds-Karp algorithm — a classic method for computing the maximum flow in a flow network. It uses Breadth-First Search (BFS) to find augmenting paths and ...

What do Sudoku, AI, Rubik’s cubes, clocks and molecules have in common? They can all be reimagined as algebraic equations.

One of these agents reasons through a breadth-first-search algorithm to figure out paths through complex mazes. Another is dedicated to generating potential solutions for the Boulder Puzzle on ...

The purpose of this project is to find a path through a given maze using breadth-first search (BFS) and depth-first search (DFS) algorithms. Overview of use: This project provides a C++ implementation ...

Extensively illustrated and with exercises included at the end of each chapter, it is suitable for use in advanced undergraduate and graduate level courses on algorithms, graph theory, graph drawing, ...

creating a more efficient graph-theory-based algorithm. Theoretical analysis shows that the proposed algorithm reduces the computation complexity of the simplex method.