Describe the search space, depth-first search for the given problem. Strategy from Route A to H.
DFS algorithm:-
A standard DFS implementation puts each vertex of the tree into one of two categories:
The purpose of the algorithm is to mark each vertex as visited .
The DFS algorithm works as follows:
DFS pseudocode (recursive implementation)
The pseudocode for DFS is shown below. In the init() function, notice that we run the DFS function on every node. This is because the graph might have two different disconnected parts so to make sure that we cover every vertex, we can also run the DFS algorithm on every node.
DFS(G, u) u.visited = true for each v ∈ G.Adj[u] if v.visited == false DFS(G,v) init() { For each u ∈ G u.visited = false For each u ∈ G DFS(G, u) }
DFS Algorithm Complexity
The time complexity of the DFS algorithm is represented in the form of O(V + E), where V is the number of nodes and E is the number of edges.
The space complexity of the algorithm is O(V).
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Describe the search space, depth-first search for the given problem. Strategy from Route A to H....
(8) Consider the following problem space with the node "A" as the starting state and the node "H" as the goal state. Please describe how breadth-first search and depth-first search is working with your problem space, and list the order that the nodes are traversed under these two search algorithms. (8) Consider the following problem space with the node "A" as the starting state and the node "H" as the goal state. Please describe how breadth-first search and depth-first search...
*** NOTE to EXPERT: Please use both breadth and depth-first searching strategy to find a route from 1-11 *** 3. Consider the following graph and identify the sequence of nodes visited when employing both breadth and depth-first searching strategy to find a route from ‘l' to '11'. 3 5 6 8 10 11 12 13
State whether each of the statements is true or false. Depth-first search is optimal. Depth-limited search can never find an optimal solution. Breadth-first search never reaches a dead end. Depth-limited search has a greater space complexity compared to breadth-first search. Breadth-first search expands deepest node first.
From the given graph discover the structure of the graph using 1. breadth first search(BFS) a. depth first search(DFS) b. Show the steps and techniques used for each method (20 points) From the given graph discover the structure of the graph using 1. breadth first search(BFS) a. depth first search(DFS) b. Show the steps and techniques used for each method (20 points)
(a) Compute the Breadth-First Search tree for the following graph, using node a as the root. Please use alphabetic order to make choice when you have multiple choices. You only need to show the tree without showing the steps. (b) What is the height of the tree? Currently I have a tree of depth 3, a as the root, (b,g,h,k) as depth 1, (c,j) under b (f) under g (e) under k for depth 2, and (d) under c for...
Show the operation of depth-first search (DFS) on the graph of Figure 1 starting from vertex q. Always process vertices in alphabetical order. Show the discovery and finish times for each vertex, and the classification of each edge. (b) A depth-first forest classifies the edges of a graph into tree, back, forward, and cross edges. A breadth-first search (BFS) tree can also be used to classify the edges reachable from the source of the search into the same four categories....
Question 3 1 pts Select all of the following that are true: Breadth-First Search only adds each vertex to the queue once. Breadth-First Search generally uses more space compared to Depth-First search. Breadth-First Search may not find the shortest path for an unweighted graph if the graph contains a cycle. At any time during Breadth-First Search, the queue holds at most two distinct dist values from all vertices in
3. Depth-first search. (15 points) Run depth-first search on the digraph below, starting at vertex A. As usual, assume the adjacency sets are in lexicographic order, e.g., when exploring vertex F, the algorithm considers the edge F-A before F-E or FG. H
7.[6] Consider the graph G below: a.[3] Find a Depth-First Search tree T for the above graph starting with the vertex 0. Show all the vertices as they are discovered in sequence starting from 1 to the last vertex included in T. b.[3] Find a Breadth-First Search tree T for the above graph starting with the vertex 0. Show all the vertices as they are discovered in sequence starting from 1 to the last vertex included in T.