Suppose I have a graph whose edges have non-negative weights, and I want to find the longest path from a starting node s to an ending node v. I can negate the weights of the graph and run Dijkstra's algorithm. True or False?

Suppose I have a huge graph with nodes (A~Z) whose edges have non-negative weights. Using Dijkstra's algorithm, we came up with the shortest path tree starting from node A. With this tree, we found out the shortest path from node A to node Z, which looks like A -> C -> E -> G -> J -> L -> Z. Now, I want to find out the shortest path from node E to Z. I can find out this without running Dijkstra's algorithm from node E. True or False?

Suppose I have a directed graph whose edges have all positive weights.  My graph is not a tree.  I want to find the longest path from a starting node s to an ending node v. I can modify Bellman-Ford to solve this problem. True or False?

What is a crucial requirement for Dijkstra’s algorithm (for finding shortest path) to work correctly?Select one:a. All edge weights in the graph must be equal.b. The graph must be fully connected.c. The graph must be a tree.d. The graph must not contain any negative edge weights.

Which algorithm is used to find the shortest path between nodes in a weighted graph with non-negative weights?Bellman-Ford algorithmDijkstra's algorithmKruskal's algorithmFloyd-Warshall algorithm

Which algorithm is used to find the shortest path in a weighted graph with non-negative edge weights?A) Bellman-FordB) Kruskal'sC) Prim'sD) Breadth-First Search (BFS)