Run the Dijkstra’s algorithm on the directed graph of the following figure 24.6, using vertex t as the source. In the style of Figure 24.6, show the d and ? values and the vertices in set S after each iteration of the while loop.
Run the Dijkstra’s algorithm on the directed graph of the following figure 24.6, using vertex t...
Run Dijkstra's algorithm on the graph G below, where s is the source vertex. Draw a table that shows the vertices in Q at each iteration. Write thed and I values of each vertex. Color the edges in the shortest-path tree, similar to the example from the notes. List the order in which vertices are added to S. Use the algorithm learned in class.
Dijkstra's single source shortest path algorithm when run from vertex a in the below graph, in what order do the nodes get included into the set of vertices for which the shortest path distances are finalized?
Question 5 (5 points) Apply Dijkstra's Algorithm to the following graph, computing the shortest path for al vertices from vertex A. Present the results after each vertex has been processed 3 20 B 47 20 You may wish to present the results in the format of the following table: Stage Current Vertex Labels and Distances A 0 A 0 D 231 A 213 E 4 F21 A 90 Each row states (a) the current stage, (b) the vertex just added...
Consider the following weighted, directed graph G. There are 7 vertices and 10 edges. The edge list E is as follows:The Bellman-Ford algorithm makes |V|-1 = 7-1 = 6 passes through the edge list E. Each pass relaxes the edges in the order they appear in the edge list. As with Dijkstra's algorithm, we record the current best known cost D[V] to reach each vertex V from the start vertex S. Initially D[A]=0 and D[V]=+oo for all the other vertices...
Using the following graph and Dijkstra's algorithm, calculate the shortest distance to each other vertex starting from vertex A. Label all vertices with the total distance (from A). Indicate the order nodes are added to cloud. Draw a Minimum Spanning Tree for the graph. You should label all nodes in the tree, but you do not need to indicate edge weights or total distance. 2 D C L 7 6 2 7 2 A K B 4 7 4 1...
10) Shortest Paths (10 marks) Some pseudocode for the shortest path problem is given below. When DIJKSTRA (G, w,s) is called, G is a given graph, w contains the weights for edges in G, and s is a starting vertex DIJKSTRA (G, w, s) INITIALIZE-SINGLE-SOURCE(G, s) 1: RELAX (u, v, w) 1: if dlv] > dlu (u, v) then 2d[v] <- d[u] +w(u, v) 3 4: end if 4: while Q φ do 5: uExTRACT-MIN Q) for each vertex v...
PYTHON ONLY Implement the Dijkstra’s Shortest path algorithm in Python. A graph with 10 nodes (Node 0 to node 9) must be implemented. You are supposed to denote the distance of the edges via an adjacency matrix (You can assume the edge weights are either 0 or a positive value). The adjacency matrix is supposed to be a 2-D array and it is to be inputted to the graph. Remember that the adjacency list denotes the edge values for the...
The graph is shown below. Which vertex will be selected next by Prim's algorithm if vertex a is arbitrarily chosen first? b 5 2 4. 6 3 a d) e o A. b B.C C. d D.e
Show how depth-first search works on the graph of Figure 22.6. Assume that the for loop of lines 5–7 of the DFS procedure considers the vertices in reverse alphabetical order, and assume that each adjacency list is ordered alphabetically. Show the discovery and finishing times for each vertex, and show the classification of each edge. DIJKSTRA(G,w,s) 1INITIALIZE-SINGLE-SOURCE(G,s) 2 S ?? 3 Q ? V[G] 4 while Q =? 5 do u ? EXTRACT-MIN(Q) 6 S ? S?{u} 7 for each...
a. (15 marks) i (7 marks) Consider the weighted directed graph below. Carry out the steps of Dijkstra's shortest path algorithm as covered in lectures, starting at vertex S. Consequently give the shortest path from S to vertex T and its length 6 A 2 3 4 S T F ii (2 marks) For a graph G = (V, E), what is the worst-case time complexity of the version of Dijkstra's shortest path algorithm examined in lectures? (Your answer should...