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Shortest paths research narrows a 25-year gap in graph algorithms
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: The shortest path problem is to find a path between two vertices (nodes) on a given graph, such that the sum of the weights on its constituent edges is minimized. This problem has been ...
Abstract: Cycling is a widely-practiced, eco-friendly mode of transportation essential for sustainable urban mobility. Determining routes that optimize for environmental factors, such as better air ...
Meta and TikTok let harmful content rise after evidence outrage drove engagement, say whistleblowers
Whistleblowers have given an inside view of the algorithm arms race which followed TikTok's explosive growth Social media giants made decisions which allowed more harmful content on people's feeds, ...
This engine models spatial networks as directed graphs with weighted edges. Core use cases include shortest-path computation, reachability analysis, and finding optimal routes under ...
"""Find shortest path between `start` and `goal` nodes. Shortest path between `start` and `goal` nodes as a string of nodes. 'Not found' string if no path found.
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