Researchers developed a new algorithm that solves the shortest-paths problem without sorting, significantly improving efficiency. This advancement matters as it enhances computational speed for various applications in networks.

The shortest-paths problem is a classic issue in computer science, where the goal is to find the quickest route from a starting point to all other points in a network. Traditionally, algorithms like Dijkstra's have been effective but limited by a sorting barrier that restricts their speed. A new algorithm developed by researchers, led by Ran Duan, breaks this barrier by avoiding sorting altogether. Instead of examining all nodes, the algorithm clusters neighboring nodes and selectively explores them, which enhances efficiency. This method works on both directed and undirected graphs, making it versatile for various applications. The researchers believe that this breakthrough could lead to even faster algorithms in the future, as the current runtime is not close to any known limits.