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1. In computer science, a classic problem is how to dynamically store information so as to let for quick look up. This searching problem arises frequently in dictionaries, symbol tables for compilers, telephone directory and while storing business records etc. The records are stored into a balanced binary tree, depend on the keys (numerical or alphabetical) order. The balanced nature of the tree limits its height to O (log n), where n is the number of added records.
2. AVL trees are extremely fast on searches & replacements. However, have a moderately high cost for insertion and deletion. If application does a lot more searches and replacements than it does addition & deletions, the balanced (AVL) binary tree is a good option for a data structure.
3. AVL tree also contain applications in file systems.
The number of interchanges needed to sort 5, 1, 6, 2 4 in ascending order using Bubble Sort is 5
Q. Take an array A[20, 10] of your own. Suppose 4 words per memory cell and the base address of array A is 100. Find the address of A[11, 5] supposed row major storage.
Q. Explain what do we understand by Binary Search Tree (BST)? Make a BST for the following given sequence of the numbers. 45, 32, 90, 21, 78, 65, 87, 132, 90, 96, 41, 74, 92
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Comparative Study of Linear and Binary Search Binary search is lots quicker than linear search. Some comparisons are following: NUMBER OF ARRAY ELEMENTS EXAMINED array
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Define the External Path Length The External Path Length E of an extended binary tree is explained as the sum of the lengths of the paths - taken over all external nodes- from
Following are some of the drawback of sequential file organisation: Updates are not simply accommodated. By definition, random access is impossible. All records should be
Compare zero-address, one-address, two-address, and three-address machines by writing programs to compute: Y = (A – B X C) / (D + E X F) for each of the four machines. The inst
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