পদ্ধতির তুলনা করুন

	বেলম্যান-ফোর্ড অ্যালগরিদম	ডাইকস্ট্রা অ্যালগরিদম	ফোর্ড-ফালকারসন অ্যালগরিদম
ক্ষেত্র	পরিচালন গবেষণা	পরিচালন গবেষণা	পরিচালন গবেষণা
পরিবার	Machine learning	Machine learning	Machine learning
উদ্ভবের বছর	1956	1956	1956
প্রবর্তক	Richard Bellman and Lester R. Ford	Edsger W. Dijkstra	Lester R. Ford and Delbert R. Fulkerson
ধরন	algorithm	algorithm	algorithm
মৌলিক উৎস	Bellman, R. (1958). On a routing problem. Quarterly of Applied Mathematics, 16(1), 87-90.	Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269-271.	Ford, L. R., & Fulkerson, D. R. (1956). Maximal flow through a network. Canadian Journal of Mathematics, 8(3), 399-404.
অপর নাম	Bellman-Ford method, Bellman algorithm	Dijkstra's algorithm, shortest path algorithm	Ford-Fulkerson method, augmenting path method
সম্পর্কিত	3	3	4
সারসংক্ষেপ	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.	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.