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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
We will start by defining a new structure called Heap. Figure 3 illustrates a Binary tree. Figure: A Binary Tree A complete binary tree is said to assure the 'heap con
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1. Define the following terms in a rule-based expert system? a) Knowledge base b) Inference engine 2. What is a fuzzy rule? Explain the difference between classical and fuzzy
GIVE TRACE OF BINARY SEARCH ALGORITHM BY USING A SUITABLE EXAMPLE.
null(nil) = true // nil refer for empty tree null(fork(e, T, T'))= false // e : element , T and T are two sub tree leaf(fork(e, nil, nil)) = true leaf(
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The structures of files vary from operating system to operating system. In this unit, we will discuss the fundamentals of file structures with the generic file organisations. A
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