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Deletion Algorithm for dequeue
Step 1: [check for underflow] If front = 0 and rear = 0 Output "underflow" and return
Step 2: [delete element at front end] If front > 0 Value = q [front] Return [value]
Step 3: [check queue for empty] If front = rear Front = rear = 0 Else Front = front +1
Step 4: [delete element at the rear end] If rear > 0 Value = Q [rear] Return (rear)
Step 5: [check queue for empty] If front = rear Front = rear = 0 Else Rear = rear - 1
Step 6: Return
What are stacks? A stack is a data structure that organizes data similar to how one organizes a pile of coins. The new coin is always placed on the top and the oldest is on the
why the space increase in less time programs
Example of Area Subdivision Method The procedure will be explained with respect to an illustrative problem, with the image consisting of five objects, namely a triangle (T), qu
We have discussed that the above Dijkstra's single source shortest-path algorithm works for graphs along with non-negative edges (like road networks). Given two scenarios can emerg
Q1. Define the following terms: (i) Abstract data type. (ii) Column major ordering for arrays. (iii) Row major ordering for arrays. Q2. Explain the following: (i) A
write an algorithm for stack using array performing the operations as insertion ,deletion , display,isempty,isfull.
Q. Explain the complexity of an algorithm? What are the worst case analysis and best case analysis explain with an example.
Initially Nodes are inserted in an AVL tree in the same manner as an ordinary binary search tree. Though, the insertion algorithm for any AVL tree travels back along with the pa
Step 1: Declare array 'k' of size 'n' i.e. k(n) is an array which stores all the keys of a file containing 'n' records Step 2: i←0 Step 3: low←0, high←n-1 Step 4: while (l
Depth-first traversal A depth-first traversal of a tree visit a node and then recursively visits the subtrees of that node. Likewise, depth-first traversal of a graph visits
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