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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
A BST is traversed in the following order recursively: Right, root, left e output sequence will be in In Descending order
The best average behaviour is shown by Quick Sort
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Explain th term input and output- Pseudocode Input and output indicated by the use of terms input number, print total, output total, print "result is" x and so on.
Define a sparse metrics. A matrix in which number of zero entries are much higher than the number of non zero entries is known as sparse matrix. The natural method of showing m
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One of the main problems with the linear queue is the lack of appropriate utilization of space. Assume that the queue can store 100 elements & the complete queue is full. Thus, it
Ask queConsider the following functional dependencies: Applicant_ID -> Applicant_Name Applicant_ID -> Applicant_Address Position_ID -> Positoin_Title Position_ID -> Date_Position_O
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