When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...

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 ...

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 ...

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 easiest pieces first. But this kind of sorting has a cost.

Finding the shortest path in a network is a classical problem, and a variety of search strategies have been proposed to solve it. In this paper, we review traditional approaches for finding shortest ...

Department of Chemistry, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States Beckman Institute for Advanced Science and Technology, University of Illinois at ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The latest long-term support (LTS) release of the JDK is Java 21, which was released in ...

Dijkstra’s algorithm is great as long as we have no negative weight edges in our graph. But there are many problems for which it is natural to represent weights with positive and negative values—gains ...

Computational: We take random inputs, follow complex steps, and hope the output makes sense. And then blog about it. Computational: We take random inputs, follow complex steps, and hope the output ...