Which of the following statements is the most accurate...

Which of the following statements is the most accurate statement about Breadth First Search and Greedy-Best First Search? Group of answer choices Both algorithms guarantee finding an optimal solution if one exists. Both algorithms have time complexities that depend on the branching factor of the search space. Both algorithms may traverse each node more than once depending on the implementation. Both algorithms always consider the total accumulated cost to reach a node from the start.

Transcript

00:01 Hello student, here the graph is given to us and this is the given graph here level 0, level 1 and level 2.

00:08 I have to explore this graph, this node g with the help of both bfs and dfs.

00:14 So first i will discuss the bfs.

00:16 Suppose the bfs, we are taking the bfs, so bfs will visit the less number of the nodes.

00:23 So this is the answer.

00:24 But how bfs work? by exploring all of the nodes at the same level before moving to the next level.

00:31 So in this case, starting node at the level is 0.

00:34 So bfs will first explore all the nodes at the level 1.

00:38 So at the level 1, there are two nodes b and c, which are b and c.

00:42 Then bfs will explore all the nodes at the level 2.

00:45 So b having two nodes and c having two nodes.

00:49 So but in a c, there is a g.

00:53 So here look at the graph in a branching of b.

00:58 This is the goal node, which we have to visit.

01:01 So here s from start s, then it will explore this abc.

01:07 After exploring the abc, now it will go to, when it will go to the b, then it will explore this and this and here the goal node matches.

01:17 So bfs work will complete here because we have to reach towards the node g.

01:23 So finally g.

01:24 So bfs will explore the node at the level 2.

01:27 Now dfs.

01:28 So dfs on the other end, work by exploring the branch of the graph as far as possible before moving to the next.

01:35 In this case, dfs would start at the starting node s and explore the branches at the level leads to l.

01:42 So here suppose l.

01:43 Suppose this level is l.

01:46 So i am taking as a generalized value.

01:49 So once dfs reaches l, it would backtrack.

01:52 So here it will do the backtracking because the particular node is not found and exploring for the g.

02:00 Since bfs will explore all the nodes at the same level before moving to the next level, it will visit the goal node g sooner than the dfs because in the dfs case backtracking will happen because it will go deep and deep into the one branch.

02:15 In this case, bfs will visit three nodes.

02:19 What are these? s, b and c before visiting g...

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