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Learn how to find the shortest paths between nodes in a weighted graph using Dijkstra's algorithm, invented by Edsger W. Dijkstra in 1956. See the algorithm's history, implementation, complexity, and examples.
Learn about the problem of finding a path between two vertices in a graph with minimum weight or length. Compare different algorithms and their time complexities for various types of graphs and weights.
A* is a graph traversal and pathfinding algorithm that finds the shortest path from a source to a goal node. It uses a heuristic function to guide its search and achieve optimal efficiency and completeness.
Learn about the TSP, a classic optimization problem that asks for the shortest route visiting each city once. Find out its history, applications, and algorithms, including the Christofides-Serdyukov algorithm.
Pathfinding is the search for the shortest route between two points in a graph. Learn about Dijkstra's, A*, and other algorithms, and how they are used in video games, transportation, and other domains.
The haversine formula is a computationally efficient way to calculate the great-circle distance between two points on a sphere, using the chord length of unit sphere. It is accurate for short distances and avoids the rounding errors of the spherical law of cosines formula.
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