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The searching method are applicable to a number of places in current's world, may it be Internet, search engines, text pattern matching, on line enquiry, finding a record from database, etc.
The most vital application of searching is to track a specific record from a large file, efficiently and faster.
Let us discuss some applications of Searching in the world of computers.
Spell Checker
Generally this application is used in Word Processors. It is depend on a program for checking spelling that it checks and searches sequentially. That is, it employee the concept of Linear Search. The program looks up word in list of words from a dictionary. Any word which is searched into the list is supposed to be spelled correctly. Any word that isn't found is supposed to be spelled wrong.
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.
What is bubble sort? Bubble Sort: The basic idea in bubble sort is to scan the array to be sorted sequentially various times. Every pass puts the largest element in its corr
Define container in terms of object-oriented terms A Container is a broad category whose instances are all more specific things; there is never anything which is just a Contai
what is boot algorithm and some example
Generally, Computational complexity of algorithms are referred to through space complexity (space needed for running program) and time complexity (time needed for running the progr
Q. Describe the term hashing. Explain any two usually used hash functions. Explain one method of collision resolution.
1. The following is a recursive algorithm to calculate the k -th power of 2. Input k a natural number Output kth power of 2 Algorithem: If k =0then return 1 Else return 2* po
1. Write a pseudocode algorithm to print the numbers from 1 to 10, and then from 10 to 1, using exactly one loop. 2. The function contains() takes a food as an argument and tell
Limitation of Binary Search: - (i) The complexity of Binary search is O (log2 n). The complexity is similar irrespective of the position of the element, even if it is not pres
Inorder traversal: The left sub tree is visited, then the node and then right sub-tree. Algorithm for inorder traversal is following: traverse left sub-tree visit node
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