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A representation of an array structure is a mapping of the (abstract) array with elements of type T onto the store which is an array with elements of type BYTE. The array could be mapped in such a way that the computation of addresses of array elements is as simple as possible. The address i of the j-th array elements is computed by the linear mapping function
i = i0 + j*s
where i is the address of the first element, and s is the number of words that a element occupies. Assuming that the word is the smallest personally transferable unit of store, it is evidently highly needed that s be a whole number value, the simplest case being s = 1. If s is not a whole number, then s is generally rounded up to the next larger integer S. Each array component then accepts S words, whereby S-s words are left unused. Rounding up of the number of words required to the next whole number is called padding. The storage utilization factor u is the quotient of the minimal amounts of storage required to represent a structure and of the value actually used:
A Binary Search Tree is binary tree which is either empty or a node having a key value, left child & right child. By analyzing the above definition, we notice that BST comes int
After going through this unit, you will be able to: • define and declare Lists; • understand the terminology of Singly linked lists; • understand the terminology of Doubly
What are the structures used in file-system implementation? Several on-disk and in-memory structures are used to execute a file system a. On-disk structure include P
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What is quick sort? Answer Quick sort is one of the fastest sorting algorithm used for sorting a list. A pivot point is chosen. Remaining elements are divided or portio
P os t - o r d e r T r av er sal : This can be done by both iteratively and recursively. The iterative solution would require a modification or alteration of the in-
DEPTH FIRST SEARCH (DFS) The approach adopted into depth first search is to search deeper whenever possible. This algorithm frequently searches deeper through visiting unvisite
how to learn about time complexity of a particular algorithm
Full Binary Trees: A binary tree of height h that had 2h -1 elements is called a Full Binary Tree. Complete Binary Trees: A binary tree whereby if the height is d, and all of
Q. The given values are to be stored in a hash table 25, 42, 96, 101, 102, 162, 197 Explain how the values are hashed by using division technique of hashing with a table
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