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  2. Dijkstra's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra's_algorithm

    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.

  3. Travelling salesman problem - Wikipedia

    en.wikipedia.org/wiki/Travelling_salesman_problem

    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.

  4. Great-circle distance - Wikipedia

    en.wikipedia.org/wiki/Great-circle_distance

    The haversine formula is a computational formula for calculating the great-circle distance between two points on a sphere, using the chord length relation. It is numerically better-conditioned for small distances than the spherical law of cosines formula, but less accurate for antipodal points.

  5. Mileage sign - Wikipedia

    en.wikipedia.org/wiki/Mileage_sign

    A mileage sign is a type of road sign that shows the distance from a current point on a highway to a city, destination, or a junction. Learn about the functionality, frequency, and variations of mileage signs in different countries and regions.

  6. Reilly's law of retail gravitation - Wikipedia

    en.wikipedia.org/wiki/Reilly's_law_of_retail...

    In addition to Newton's Law of Gravity in the physical sciences, there were other antecedents to Reilly's "law" of retail gravity. In particular, E.C. Young in 1924 described a formula for migration that was based on the physical law of gravity, and H.C. Carey had included a description of the tendency of humans to "gravitate" together in an 1858 summary of social science theory.

  7. Geographical distance - Wikipedia

    en.wikipedia.org/wiki/Geographical_distance

    Learn how to calculate the distance between two points on the Earth's surface using different approximations and formulae. Compare flat, spherical and ellipsoidal models and their errors and limitations.

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