Exercise #5 What is the output of the following code? import java.util.LinkedList; import java.util.Queue; public class QueueExample { public static void main(String[] args) { Queueq = new LinkedList ); for (int i = 0; i < 5; i++) q.add(i); System.out.println("Elements of queue "+ q); int removedele=q.remove(); System.out.println("removed element-"+ removedele); removedele = q.remove(); System.out.println("removed element-"+ removedele); q.add(1); System.out.println(q); int head = q.peek(); System.out.println("head of queue-"+ head); int size = q.size(); System.out.println("Size of queue-"+ size); }

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Depth First Search

Depth-first search (DFS) also known as Depth First traversal is an algorithm used to traverse or search the nodes in a tree or graph data structure. Traversal usually means visiting all the nodes of a graph. DFS performs in a depth-ward manner. It uses a stack to remember the vertices it has visited. The search starts from the root node, where any arbitrary node is selected as a root node in a graph, and then each node is explored along each branch before performing backtracking. The DFS algorithm uses a recursive technique by following the idea of backtracking. DFS algorithm does this by performing an in-depth search of all the nodes by traversing in a forward direction. If the required node is not found, it starts backtracking to previously visited nodes.