Which of them is not belongs as traversal techniques.a)Height first searchb)Depth first searchc)Breadth first searchd)Both Depth first search & Breadth first search

Depth First Search is equivalent to which of the traversal in the Binary Trees?Group of answer choicesIn-order TraversalPost-order TraversalPre-order TraversalLevel-order Traversal

In relation to trees, what is the difference between a depth first and breadth first search? 1 pointA depth first will investigate nodes with greater detail, while a breadth first is more superficial in approach. A breadth first is more thorough so will return the result faster. A depth first approach will travel from top to bottom through sibling nodes, while a breadth first will travel through each level.

Compare and contrast depth-first search (DFS) and breadth-first search (BFS) algorithms in graph traversal. Discuss their applications and scenarios where one might be preferred over the other.

The following six questions are about breadth first search and depth first search algorithms on a given graph. Consider an undirected graph 𝐺=(𝑉,𝐸)𝐺=(𝑉,𝐸) given below, where the set of vertices 𝑉={1, 2, 3, 4, 5}𝑉={1, 2, 3, 4, 5} and the set of edges 𝐸={(1, 2),(1, 3),(1, 4),(3, 2),(3, 5)}𝐸={(1, 2),(1, 3),(1, 4),(3, 2),(3, 5)}. We run BFS and DFS algorithms on this graph starting from the vertex 1 which is the initial vertex. Answer the following questions. 1 pointWhich are the three vertices that will be added to the BFS queue in the first step of the BFS algorithm? Does the order in which they are added matter? The three vertices will be 2, 3 and 4, their order will be exactly the same as the one given in this answer option. The three vertices will be 2, 3 and 4, their order does not matter. The three vertices will be 2, 3 and 5, their order will be exactly the same as the one given in this answer option. The three vertices will be 2, 3 and 5, their order does not matter.

In Breadth First Search we examine _____.a)All of its childrens and then examine the root nodeb)The neighbors and then the root nodec)The root node and then traverse the neighborsd)The starting node and then go deeper and deeper.