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Perform a DFS on the following Graph. Tell the discovery time and the final time for...
Q2. Show the execution trace of DFS on the following directed graph. You must show discovery time v.d, finish time v.f, and the v.color for each node as the algorithm progresses. Indicate all tree edges, back edges, forward edges, and cross edges when the final DFS forest is constructed. Assume that the edges going out from a vertex are processed in alphabetical order and that each adjacency list is ordered alphabetically.
1 Graph Search Consider the following graph G. 1.1 Draw the DFS tree for G when starting in node 0. Assume that the adjacency lists are sorted in increasing order. Write the discovery and finish times for each node in the area marked by"_/_" next to each node. Solution:
PI) Given undirected graph answer the following questions: (30 points) (a) Show how a Breath-First Search (BFS) works. Your starting node is B. You also need to show the discovery time for each node. (b) Given above graph, Apply Depth-First-Search (DFS), starting from node A. You should show the discovery time and return time (finishing time) on each of the node
b. (Weight: 15%) Perform DFS and BFS based on the following graph: - For BFS, provide the visit order. - For DFS, provide the finish order and label the special edges (if any) based on their type: back edge, forward edge, or cross edge. Sduro
1. a. Using C++, represent the following graph using adjacency matrix, and implement DFS by using stack (define it using class) to traverse the graph. b. Similarly, implement BFS (define queue using class) to traverse the graph c.When node 6 is printed, what numbers are in the stack (for DFS) and queue (for BFS) respectively? Draw pictures to show them.
1. a. Using C++, represent the following graph using adjacency matrix, and implement DFS by using stack (define it using...
Problem 2 [10 points] Depth-First Search Write inside each vertex in the following graph the discovery and finishing times in the format discovery/finish. Assume DFS considers the vertices in alphabetical order (A,B,C,....X,Y,Z), and assume that each adjacency list is ordered alphabetically W 1/ х у
ignore red marks. Thanks
10. (16) You will compute the strongly connected components of this graph in three steps. a. STRONGLY-CONNECTED-COMPONENTS (G) (7) Perform a depth-first search on call DFS(G) to compute finishing times w/ for each vertex the following graph. (To make 2 compute GT this easier to grade, everyone call DFS(GT), but in the main loop of DFS, consider the vertices in order of decreasing wf (as computed in line 1) please start with vertex "a" and 4...
The DFSGraph uses a time attribute to note when a vertex is first encountered (discovery attribute) in the depth-first search (dfs) and when a vertex is backtracked thro (finish attribute). Consider the prerequisite graph for the courses in Bob's Computer Science minor. CS 1410 CS 3470 CS 4400) CS 1510 CS 1510) CS 1520 C$ 1520) CS 2530 S 2530 from graph import Graph class DFSGraph(Graph): definit__(self): super() . _init_0 self. time = 0 def dfs (self): for aVertex in...
3. (8 points-7+1) Figure 4 shows an undirected graph G. Assume that the adjacency list lists the edges in alphabetical order. Figure 3: Graph for P3 (a) Apply depth first search (DFS) to graph G, and show the discovery and finish times of each vertex. In the main-loop of DFS, check the vertices in alphabetical the form dsc/fin, where dsc is the discovery time and fin is the finish time. (b) Draw the DFS tree obtained.
3. (8 points-7+1) Figure...
3. Given a directed graph G < V E >, we define its transpose Gr < V.E1 > to be the graph such that ET-{ < v, u >:< u, v >EE). In other words, GT has the same number of edges as in G, but the directions of the edges are reversed. Draw the transpose of the following graph: ta Perform DFS on the original graph G, and write down the start and finish times for each vertex in...