Coding Problems on Strings Solved Step by Step | Data Structures and Algorithms | Scaler Academy

Strings remain to be one of the most popular topics in programming. Strings being such a crucial part of programming, it is imperative to practice solving the coding problems on strings. We at Scaler bring you this detailed tutorial on Strings. Join our FREE Masterclass now: https://bit.ly/3qPFm9Z

What is String?
In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures.

What are String Matching Algorithms?
String Matching Algorithms or searching algorithms try to find places where one or several strings are found within a larger string. They are classified into different types such as naive string matching, kmp string matching, etc.

Naive string matching is the simplest form of string matching algorithm. It checks for all the main characters of the main string to the pattern. The time complexity of Naive Pattern Search method is O(m*n).KMP string matching checks the characters from left to right. The time complexity of KMP is O(n).

Watch the following video till the end to acquire detailed understanding on coding problems on strings and how you can solve them.

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