Abstract: This article introduces a reactive methodology tailored for a wide range of practical graph-based path planning applications. In these scenarios, a robot with limited sensor capabilities ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that compute shortest paths through vast networks. Now imagine scaling that task ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

The Graphviz algorithm for undirected graph layout is very sensitive to the choice of the sep parameter. We should make it configurable in the UI. Currently, it is hard-coded. To get acceptable ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

Here’s a scary scenario: You’ve been put in charge of air traffic control at Newark airport near New York. You need to make sure every plane can taxi between the runway and its gate without hitting ...

In this blog post, I will begin by introducing the concept of cut sparsifier for a given graph \(G\), which has been a powerful tool in the design of graph algorithms. Following that, I will present a ...