Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Puš-Relabel algoritms× | Dijkstra algoritms× | |
|---|---|---|
| Nozare | Operāciju pētīšana | Operāciju pētīšana |
| Saime | Machine learning | Machine learning |
| Izcelsmes gads≠ | 1988 | 1956 |
| Autors≠ | Andrew V. Goldberg and Robert E. Tarjan | Edsger W. Dijkstra |
| Tips | algorithm | algorithm |
| Pirmavots≠ | Goldberg, 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 ↗ |
| Citi nosaukumi | preflow-push algorithm, Goldberg-Tarjan algorithm | Dijkstra's algorithm, shortest path algorithm |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | The 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. |
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