Which algorithm is more suitable for finding the shortest path in a graph with n

Practice Questions

Q1
Which algorithm is more suitable for finding the shortest path in a graph with negative weights?
  1. Dijkstra's Algorithm
  2. Bellman-Ford Algorithm
  3. A* Search Algorithm
  4. Floyd-Warshall Algorithm

Questions & Step-by-Step Solutions

Which algorithm is more suitable for finding the shortest path in a graph with negative weights?
  • Step 1: Understand what a graph is. A graph consists of nodes (or vertices) connected by edges.
  • Step 2: Know that a shortest path is the path between two nodes that has the least total weight (or cost).
  • Step 3: Recognize that some graphs can have negative weights on their edges, which means moving along those edges can reduce the total cost.
  • Step 4: Learn about different algorithms used to find the shortest path in graphs, such as Dijkstra's and Bellman-Ford.
  • Step 5: Understand that Dijkstra's algorithm does not work correctly with negative weights because it assumes that once a node's shortest path is found, it cannot be improved.
  • Step 6: Realize that the Bellman-Ford algorithm can handle negative weights and can also detect negative weight cycles (where you can keep reducing the path cost indefinitely).
  • Step 7: Conclude that the Bellman-Ford algorithm is the suitable choice for finding the shortest path in graphs with negative weights.
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