Dijkstra’s algorithm is a popular method used to find the shortest path between nodes in a graph, which can represent things like road networks or computer networks. This algorithm is widely used in various real-world applications, such as GPS navigation systems and network routing. Let’s learn everything about the Dijkstra algorithm with example, showing how it helps in finding the most efficient paths in different scenarios. Dijkstra’s Algorithm using Min Heap - O (E"logV) Time and O (V) Space In Dijkstra's Algorithm, the goal is to find the shortest distance from a given source node to all other nodes in the graph. As the source node is the starting point, its distance is initialized to zero. From there, we iteratively pick the unprocessed node with the minimum distance from the source, this is where a min-heap (priority queue) or a set is typically used for efficiency. For each picked node u, we update the ... Learn how to find the shortest path between two vertices of a graph using Dijkstras algorithm. See the algorithm, C code, and output example with a 6x6 graph. Dijkstra's algorithm (/ ˈdaɪkstrəz / DYKE-strəz) is an algorithm for finding the shortest paths between nodes in a weighted graph, which may represent, for example, a road network.
