A stack can be implemented using two queues. Let stack to be implemented be ‘x’ and queues used to implement be ‘a’ and ‘b’.

Method 1 (By push operation)
This method makes sure that the newly entered element is always at the front of ‘a’, so that pop operation just dequeues from ‘a’. ‘b’ is used to put every new element at front of ‘b’.

The correct solution is 'option 1'.

Key Points

  Algo Preorder(tree root)

  {

1. Visit the root node.
2. Traverse the left subtree ( call Algo Preorder(left-subtree) ).
3. Traverse the right subtree ( call Algo Preorder(right-subtree) ).

  }

• Start with a root node 'A' move towards it's left subtree i.e 'B'. And again the node 'B' becomes the root node. Recursively calling by the above function prints the pre-order of the above Tree. 

Thus, the correct answer is: A B D F E C G I H J K L

Additional Information

• To build a copy of the tree, a preorder traverse is used. Preorder traversal is often used to get the prefix on an expression tree.
•  Here, some tree traversal techniques and flow.
• In-order     -  F D B E A I G C J H L K
• Pre-order  -  A B D F E C G I H J K L
• Post-order - F D E B I G J L K H C A
• Converse Inorder - K L H J C G I A E B D F
• Converse Preorder- A C H K L J G I B E D F
• Converse  Postorder- L K J H I G C E F D B A

• Breadth-first search (BFS) and Depth First Search (DFS) is an algorithm for traversing or searching tree or graph data structures.
• Breadth First Search (BFS) algorithm traverses a graph in a breadthwise manner and uses a queue to remember to get the next vertex to start a search, when a dead end occurs in any iteration.
• Depth First Search (DFS) uses Stack data structure. DFS uses backtracking technique. Remember backtracking can proceed by Stack.

Concept:

• A stack is an ordered list in which insertion and deletion are done at one end, called a top.
• The last element inserted is the first one to be deleted. Hence, it is called the Last in First out (LIFO) or First in Last out (FILO) list.

Explanation:

A recursive problem like the Tower of Hanoi can be rewritten using system stack or user-defined stack

Recurrence relation of tower of Hanoi:  T(n) = 2T(n - 1) + 1 

Additional Information

Number of moves required for n disc in a Tower of Hanoi is 2n – 1 = 27 – 1 = 127. 

Stack underflow happens when one tries to pop (remove) an item from the stack when nothing is actually there to remove.