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When does Dijkstra's algorithm fail to find the shortest path in a graph?
Dijkstra's algorithm fails to find the shortest path in a graph when the graph has negative edge weights.
What is the algorithm to find all shortest paths between two nodes in a graph?
One common algorithm to find all shortest paths between two nodes in a graph is the Floyd-Warshall algorithm. This algorithm calculates the shortest paths between all pairs of nodes in a graph by considering all possible intermediate nodes.
What is the algorithm used to find all pairs shortest paths in a graph efficiently?
The algorithm used to find all pairs shortest paths in a graph efficiently is called the Floyd-Warshall algorithm. It works by iteratively updating the shortest path distances between all pairs of vertices in the graph until the optimal solution is found.
What is the most efficient way to find the shortest path in a directed acyclic graph?
One efficient way to find the shortest path in a directed acyclic graph is to use a topological sorting algorithm, such as the topological sort algorithm. This algorithm can help identify the order in which the nodes should be visited to find the shortest path from a starting node to a destination node. By following the topological order and calculating the shortest path for each node, you can determine the overall shortest path in the graph.
What is the single source shortest path algorithm and how does it determine the shortest path in a graph?
The single source shortest path algorithm is a method used to find the shortest path from a starting point to all other points in a graph. One common algorithm for this is Dijkstra's algorithm, which works by iteratively selecting the vertex with the smallest distance from the starting point and updating the distances to its neighboring vertices. This process continues until all vertices have been visited and the shortest path to each vertex is determined.
