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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
explanation with algorithm
QUESTION (a) Construct a binary tree for the following numbers assuming that a number greater than the node (starting from the root) goes to the left else it goes to the right.
how to do a merge sorting
compare two functions n and 2n for various values of n. determine when second becomes larger than first
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)
Merge sort is also one of the 'divide & conquer' classes of algorithms. The fundamental idea in it is to split the list in a number of sublists, sort each of these sublists & merge
loops
SPARSE MATRICES Matrices along with good number of zero entries are called sparse matrices. Refer the following matrices of Figure (a)
Thread 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 either a stack
A mathematical-model with a collection of operations described on that model is known as??? Abstract Data Type
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