# Algorithms

This category contains all the posts related to Algorithms. For e.g.: Sorting, Hashing, Searching, Tree Traversals, Graph Theory etc.

## Tries for Text Processing

Introduction Now that we have talked so much about efficient ways of pattern finding using Boyer Moore and KMP algorithm. Let us try and understand other aspects of Text Processing as well. This post will mostly focus on using tries for text processing, storing text efficiently and also discuss about data structures which may make more sense when we talk about storage and retrieval of text based on some given criteria. Here are some real world problems which often demand quicker answers: Ever wondered why you are able to search a word in a dictionary so fast? How do you think one w...

## Pattern Finding – KMP Algorithm

Introduction Now that you are fully equipped with the Boyer Moore Algorithm and have a notion of Pattern Finding. I would suggest you to get deeper into pattern finding. You can read about the benefits of pattern finding in my previous post about Boyer Moore. This post will try to make you familiar with all the thought processes which you can use to exploit the known properties of texts and patterns using KMP Algorithm. However, Boyer Moore seems to be slightly intuitive, this one is a real geeky way of finding patterns. Knuth Morris Pratt Yes! this is what KMP stands for, you can learn ...

## Pattern Finding – Boyer Moore

Introduction String matching problems are important part of many Programming Contests and also find applications in real world problems. Imagine you are asked to implement a text editor. What are few of the most common operations in a text editor? Copy and Paste. Search and Replace. The performance of your text editor will completely depend on how efficiently it can search and/or replace patterns in a huge text. Basics of Pattern Finding In a given pattern matching problem, we have two strings one is called the text T and the other is called the pattern P. The task is to find th...