In dense anchorage areas, the challenge of navigation for Unmanned Surface Vehicles is particularly pronounced, especially regarding path safety and economy. A Risk-Aware Path Optimization Algorithm ...

The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms.

Rasmus Kyng has written the near-perfect algorithm. It computes the maximum transport flow at minimum cost for any kind of network – be it rail, road or electricity – at a speed that is, ...

Almost-Linear Time Algorithms for Incremental Graphs: Cycle Detection, SCCs, s-t Shortest Path, and Minimum-Cost Flow. Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024 DOI ...

The replacement algorithms provide the correct answers but are frequently orders of magnitude slower. A recent breakthrough in combinatorial techniques has shown how these early algorithms can be ...

CSIS's Aidan Arasasingham and Matthew P. Goodman suggest how Japan can operationalize its "Data Free Flow with Trust" concept for global data governance during the G7 host year.

In such cases, the fastest known shortest-path algorithm doesn’t work. For decades, fast algorithms for finding shortest paths on negative-weight graphs have remained elusive.

Examples of errors include forgetting to include a data flow or pointing an arrow in the wrong direction. A key reason why keeping data flow diagrams up-to-date is to address issues of system growth.

Firstly, the configuration of μPMU is optimized for various topologies. Then, the K-means clustering algorithm is introduced, and the obtained configuration nodes are clustered at the shortest ...