Finding Your Way: Shortest Paths on Networks
Teresa Rexin, Mason A. Porter

TL;DR
This paper discusses the importance of shortest path algorithms in network navigation, introduces Dijkstra's algorithm, and explores their practical applications in improving travel efficiency.
Contribution
It provides an overview of shortest path construction, details Dijkstra's algorithm, and highlights real-world uses for optimized navigation.
Findings
Dijkstra's algorithm effectively finds shortest paths in networks.
Shortest path methods can significantly reduce travel time.
Practical applications enhance navigation efficiency.
Abstract
Traveling to different destinations is a big part of our lives. We visit a variety of locations both during our daily lives and when we're on vacation. How can we find the best way to navigate from one place to another? Perhaps we can test all of the different ways of traveling between two places, but another method is to use mathematics and computation to find a shortest path. We discuss how to construct a shortest path and introduce Dijkstra's algorithm to minimize the total cost of a path, where the cost may be the travel distance, travel time, or some other measurement. We also discuss how to use shortest paths in the real world to save time and increase traveling efficiency.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Management and Algorithms
