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Linked list representations contain great advantages of flexibility on the contiguous representation of data structures. However, they contain few disadvantages also. Data structures organized as trees contain a wide range of advantages in several applications and it is best suitable for the problems associated to information retrieval.
These data structures let the insertion, searching and deletion of node in the ordered list to be gained in the minimum amount of time.
The data structures that we primarily discuss in this unit are AVL trees, Binary Search Trees and B-Trees. We cover only basics of these data structures in this unit. Some of these trees are special cases of other trees & Trees are with a large number of applications in real life.
OBJECTIVES
After learning this unit, you must be able to
In this unit, we discussed Binary Search Trees, AVL trees and B-trees. The outstanding feature of Binary Search Trees is that all of the elements of the left subtree of the root
Explain the representations of graph. The different ways of representing a graph is: Adjacency list representation : This representation of graph having of an array Adj of
Q. Draw the structures of complete undirected graphs on one, two, three, four and five vertices also prove that the number of edges in an n vertex complete graph is n(n-1
If a node in a BST has two children, then its inorder predecessor has No right child
circular queue using c
advanatges of dynamic data structure in programming
Program gives the program segment by using arrays for the insertion of an element to a queue into the multiqueue. Program: Program segment for the insertion of any element to t
Inorder traversal: The left sub tree is visited, then the node and then right sub-tree. Algorithm for inorder traversal is following: traverse left sub-tree visit node
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
merging 4 sorted files containing 50 10 25 and 15 records will take time
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