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In this unit, we described about the data structure Queue. It had two ends. One is front from where the elements can be removed and the other is rear where the elements can be inserted. A queue can be implemented via Arrays or Linked lists. Each illustration is having it's own advantages & disadvantages. The problems along arrays are that they are restricted in space. Therefore, the queue is having a restricted capacity. If queues are implemented via linked lists, then this problem is solved. Now, there is no restriction on the capacity of the queue. The only overhead is the memory occupied though the pointers.
There are a number of variants of the queues. Queues normally mean circular queues. In spite of linear queues, we also discussed circular queues in this unit. A particular type of queue called Dequeue was also discussed in this unit. Dequeues allows elements to be inserted or deleted at either of the rear or front. We also discussed the array & linked list implementations of Dequeue.
Threaded Binary Tree:- By changing the NULL lines in a binary tree to special links known as threads, it is possible to perform traversal, insertion and deletion without using
An undirected graph G with n vertices and e edges is shown by adjacency list. What is the time required to generate all the connected components? O (e+n)
Postorder traversal of a binary tree struct NODE { struct NODE *left; int value; /* can take any data type */ struct NODE *right; }; postorder(struct NODE
Which sorting algorithms does not have a worst case running time of O (n 2 ) ? Merge sort
Q. Describe the term hashing. Explain any two usually used hash functions. Explain one method of collision resolution.
give any example of page replacement using fifo and use your own reference string
Implement multiple stacks in a single dimensional array. Write algorithms for various stack operations for them.
A full binary tree with n leaves have:- 2n -1 nodes.
How do you rotate a Binary Tree? Rotations in the tree: If after inserting a node in a Binary search tree, the balancing factor (height of left subtree - height of right
This algorithm inputs 5 values and outputs how many input numbers were positive and how many were negative. Data to be used: N = 1, -5, 2, -8, -7
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