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Algoritam potiskivanja i preoznačavanja (Push-Relabel Algorithm)×Dijkstra Algoritam×Algoritam Ford-Fulkerson×
OblastOperaciona istraživanjaOperaciona istraživanjaOperaciona istraživanja
PorodicaMachine learningMachine learningMachine learning
Godina nastanka198819561956
TvoracAndrew V. Goldberg and Robert E. TarjanEdsger W. DijkstraLester R. Ford and Delbert R. Fulkerson
Tipalgorithmalgorithmalgorithm
Temeljni izvorGoldberg, A. V., & Tarjan, R. E. (1988). A new approach to the maximum flow problem. Journal of the ACM, 35(4), 921-940. DOI ↗Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269-271. DOI ↗Ford, L. R., & Fulkerson, D. R. (1956). Maximal flow through a network. Canadian Journal of Mathematics, 8(3), 399-404. DOI ↗
Drugi nazivipreflow-push algorithm, Goldberg-Tarjan algorithmDijkstra's algorithm, shortest path algorithmFord-Fulkerson method, augmenting path method
Srodne334
SažetakThe 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.Dijkstra's Algorithm, introduced by Edsger W. Dijkstra in 1956, is one of the most fundamental algorithms in computer science for solving the single-source shortest path problem. It finds the shortest path from a starting vertex to all other vertices in a weighted graph with non-negative edge weights.The Ford-Fulkerson Algorithm, developed by Lester R. Ford and Delbert R. Fulkerson in 1956, is a foundational method for computing the maximum flow in a flow network. It finds the maximum amount of flow that can be sent from a source to a sink through a directed graph with capacity constraints on edges.
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ScholarGateUporedite metode: Push-Relabel Algorithm · Dijkstra Algorithm · Ford-Fulkerson Algorithm. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare