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Push-Relabel-algoritmi×Bellman-Fordin algoritmi×
TieteenalaOperaatiotutkimusOperaatiotutkimus
MenetelmäperheMachine learningMachine learning
Syntyvuosi19881956
KehittäjäAndrew V. Goldberg and Robert E. TarjanRichard Bellman and Lester R. Ford
Tyyppialgorithmalgorithm
AlkuperäislähdeGoldberg, A. V., & Tarjan, R. E. (1988). A new approach to the maximum flow problem. Journal of the ACM, 35(4), 921-940. DOI ↗Bellman, R. (1958). On a routing problem. Quarterly of Applied Mathematics, 16(1), 87-90. DOI ↗
Rinnakkaisnimetpreflow-push algorithm, Goldberg-Tarjan algorithmBellman-Ford method, Bellman algorithm
Liittyvät33
TiivistelmäThe Push-Relabel Algorithm, developed by Andrew V. Goldberg and Robert E. Tarjan in 1988, is a highly efficient method for computing maximum flow in networks. Unlike augmenting path methods, it maintains a preflow and uses local push and global relabeling operations to drive flow toward the sink, achieving superior worst-case complexity.The Bellman-Ford Algorithm, developed by Richard Bellman and Lester R. Ford in the 1950s, is a fundamental algorithm for computing shortest paths in weighted graphs that may contain negative edge weights. Unlike Dijkstra's algorithm, it correctly handles negative weights and can detect the presence of negative-weight cycles.
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ScholarGateVertaile menetelmiä: Push-Relabel Algorithm · Bellman-Ford Algorithm. Haettu 2026-06-15 osoitteesta https://scholargate.app/fi/compare