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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
Q. Explain the complexity of an algorithm? What are the worst case analysis and best case analysis explain with an example.
Q. Make a BST for the given sequence of numbers. 45,32,90,34,68,72,15,24,30,66,11,50,10 Traverse the BST formed in Pre- order, Inorder and Postorder.
2. Write a note on i) devising ii) validating and iii) testing of algorithms.
Unlike a binary-tree, each node of a B-tree may have a number of keys and children. The keys are stored or saved in non-decreasing order. Each key has an related child that is the
Best - Fit Method: - This method obtains the smallest free block whose size is greater than or equal to get such a block by traversing the whole free list follows.
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Example: (Double left rotation while a new node is added into the AVL tree (RL rotation)) Figure: Double left rotation when a new node is inserted into the AVL tree A
write an algorithm to search a particular node in linked list which returns " FOUND" or "NOT FOUND" as outcome.
Sorting is significant application activity. Several sorting algorithms are obtainable. But, each is efficient for a specific situation or a specific kind of data. The choice of a
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