About: AF-heap

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In computer science, the AF-heap is a type of priority queue for integer data, an extension of the fusion tree using an proposed by M. L. Fredman and D. E. Willard. Using an AF-heap, it is possible to perform m insert or decrease-key operations and n delete-min operations on machine-integer keys in time O(m + n log n / log log n). This allows Dijkstra's algorithm to be performed in the same O(m + n log n / log log n) time bound on graphs with n edges and m vertices, and leads to a linear time algorithm for minimum spanning trees, with the assumption for both problems that the edge weights of the input graph are machine integers in the transdichotomous model.

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  • In computer science, the AF-heap is a type of priority queue for integer data, an extension of the fusion tree using an proposed by M. L. Fredman and D. E. Willard. Using an AF-heap, it is possible to perform m insert or decrease-key operations and n delete-min operations on machine-integer keys in time O(m + n log n / log log n). This allows Dijkstra's algorithm to be performed in the same O(m + n log n / log log n) time bound on graphs with n edges and m vertices, and leads to a linear time algorithm for minimum spanning trees, with the assumption for both problems that the edge weights of the input graph are machine integers in the transdichotomous model. (en)
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  • In computer science, the AF-heap is a type of priority queue for integer data, an extension of the fusion tree using an proposed by M. L. Fredman and D. E. Willard. Using an AF-heap, it is possible to perform m insert or decrease-key operations and n delete-min operations on machine-integer keys in time O(m + n log n / log log n). This allows Dijkstra's algorithm to be performed in the same O(m + n log n / log log n) time bound on graphs with n edges and m vertices, and leads to a linear time algorithm for minimum spanning trees, with the assumption for both problems that the edge weights of the input graph are machine integers in the transdichotomous model. (en)
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  • AF-heap (en)
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