Difference between BFS and Dijkstra's algorithms when looking for shortest path? Last Updated : 28 Sep, 2022 Comments Improve Suggest changes Like Article Like Report What is Dijkstra's Algorithm? Dijkstra's Algorithm is used for finding the shortest path between any two vertices of a graph. It uses a priority queue for finding the shortest path. For more detail about Dijkstra's Algorithm, you can refer to this article. What is BFS Algorithm? Breadth First Search (BFS) algorithm traverses a graph in a bread toward motion and uses a queue to remember to get the next vertex to start a search when a dead end occurs in any iteration. For more detail about BFS Algorithm, you can refer to this article. Difference between BFS and Dijkstra's algorithms when looking for the shortest path:S.No.Dijkstra's AlgorithmBFS Algorithm 1. It is generally used for weighted graphs. It is used for unweighted graphs. 2. In each step, visit the node with the lowest weight. Visit nodes level by level based on the closest to the source. 3. It uses Priority Queue. It uses Simple Queue. 4. The time complexity for this Algorithm is O(V + ElogV).here, V is the number of vertices and E is the number of edges in the graph. The time complexity for this Algorithm for finding the shortest path will be O(V+E). where, V is the number of vertices and E is the number of edges in the graph. Comment More infoAdvertise with us Next Article Difference between BFS and Dijkstra's algorithms when looking for shortest path? H himanshuparihar1600 Follow Improve Article Tags : Graph DSA Practice Tags : Graph Similar Reads What are the differences between Bellman Ford's and Dijkstra's algorithms? Bellman Ford's algorithm Like other Dynamic Programming Problems, the algorithm calculates shortest paths in a bottom-up manner. It first calculates the shortest distances which have at-most one edge in the path. Then, it calculates the shortest paths with at-most 2 edges, and so on. After the i-th 3 min read Difference Between Dijkstra's Algorithm and A* Search Algorithm Dijkstra's Algorithm and A* Algorithm are two of the most widely used techniques. Both are employed to the find the shortest path between the nodes in a graph but they have distinct differences in their approaches and applications. Understanding these differences is crucial for the selecting the app 3 min read Difference between Prim's and Kruskal's algorithm for MST Minimum Spanning Tree (MST) is a fundamental concept in graph theory and has various applications in network design, clustering, and optimization problems. Two of the most commonly used algorithms to find the MST of a graph are Prim's and Kruskal's algorithms. Although both algorithms achieve the sa 3 min read Applications of Dijkstra's shortest path algorithm Dijkstra’s algorithm is one of the most popular algorithms for solving many single-source shortest path problems having non-negative edge weight in the graphs i.e., it is to find the shortest distance between two vertices on a graph. It was conceived by computer scientist Edsger W. Dijkstra in 1956 4 min read Comparison between Shortest Path Algorithms: Finding the shortest way is becoming more important in a world where time and distance matter. There are multiple shorted path algorithms exists. Therefore, in this article, we will compare the shortest path algorithms on the basis of their complexity and their performance, which will help us to use 4 min read What is Dijkstra’s Algorithm? | Introduction to Dijkstra's Shortest Path Algorithm In this article, we will be discussing one of the most commonly known shortest-path algorithms i.e. Dijkstra's Shortest Path Algorithm which was developed by Dutch computer scientist Edsger W. Dijkstra in 1956. Moreover, we will do a complexity analysis for this algorithm and also see how it differs 10 min read Difference between Minimum Spanning Tree and Shortest Path Spanning tree: A spanning tree (T) of an undirected graph(G) is a subgraph which is a tree that includes all the vertices of a graph (G) and the minimum number of edges required to connect the graph (G). And it is a known maximal set of edges with no cycles. Properties: If a graph(G) is not connecte 4 min read Dijkstra’s shortest path algorithm using set Given a weighted undirected graph represented as an edge list and a source vertex src, find the shortest path distances from the source vertex to all other vertices in the graph. The graph contains V vertices, numbered from 0 to V - 1.Example:Input: src = 0, V = 5, edges[][] = [[0, 1, 4], [0, 2, 8], 8 min read Dijkstra's Algorithm to find Shortest Paths from a Source to all Given a weighted undirected graph represented as an edge list and a source vertex src, find the shortest path distances from the source vertex to all other vertices in the graph. The graph contains V vertices, numbered from 0 to V - 1.Note: The given graph does not contain any negative edge. Example 12 min read Johnson’s algorithm for All-pairs shortest paths | Implementation Given a weighted Directed Graph where the weights may be negative, find the shortest path between every pair of vertices in the Graph using Johnson's Algorithm. The detailed explanation of Johnson's algorithm has already been discussed in the previous post. Refer Johnson’s algorithm for All-pairs 12 min read Like