string algorithm

Manacher's Algorithm

Manacher's Algorithm is an efficient algorithm to find the longest palindromic substring in a given string in linear time and linear space complexity. It uses key ideas from dynamic programming to solve the problem efficiently.

string algorithm

Boyer Moore String Search Algorithm

Boyer Moore string search algorithm is an efficient string searching algorithm which was developed by Robert S. Boyer and J Strother Moore in 1977. The time complexity is linear in terms of length of data to be searched and preprocessing complexity is linear as well

string algorithm

KMP (Knuth-Morris-Pratt) Algorithm

Given a string S of length n and a pattern P of length m , you have to find all occurences of pattern P in string S provided n > m. Knuth Morris Pratt algorithm is an efficient pattern searching algorithm. Time and space complexity of KMP algorithm is O(m + n) linear.

pattern searching

Rabin-Karp Pattern Searching Algorithm

Rabin-Karp Algorithm is an efficient string pattern searching algorithm that utilizes the technique of hashing to search for patterns in a string in linear time by using a clever way of calculating hashes. This algorithm has been developed by Richard M. Karp and Michael O. Rabin in 1987.

string algorithm

Algorithm to find the maximum occurring character in a string

Algorithm Pseudocode Complexity Implementation Applications Reading time: 15 minutes | Coding time: 5 minutes One approach to solve this problem would be to sort the input string and then traverse through the sorted string

string algorithm

Z Algorithm function

The Z-function for a string S of length N is an array of length N where the i th element is equal to the greatest number of characters starting from the position i that coincide with the first characters of S.

suffix array

Suffix Array

A Suffix Array contains integers that represent the starting indices of all the suffixes of a given string, after the aforementioned suffixes have been sorted. There are two approaches to compute: O(N^2 * log N) and O(N * log N * log N) approach. Locate every occurrence of a pattern within a string