DSA


/ 4 min read

Introduction to Dynamic Programming

1. What is Dynamic Programming? Dynamic Programming is an algorithmic paradigm that solves a given complex problem by breaking it into sub-problems and stores the results of sub-problems to avoid computing the same results again. Dynamic programming is used where we have problems, which can


/ 3 min read

Introduction to Greedy Algorithms

1. What is Greedy Algorithm? A greedy algorithm, as the name suggests, always makes the choice that seems to be the best at that moment. This means that it makes a locally-optimal choice in the hope that this choice will lead to a globally-optimal solution.



/ 2 min read

Introduction to Asymptotic Notations

1. What is Asymptotic Notations? Asymptotic Notations are languages that allow us to analyze an algorithm’s run-time performance. Asymptotic Notations identify running time by algorithm behavior as the input size for the algorithm increases. This is also known as an algorithm’s growth rate.


/ 3 min read

Introduction to Data Structures and Algorithms

1. What is Data Structure? A data structure is a particular way of organizing data in a computer so that it can be used efficiently. Data Structures is about rendering data elements in terms of some relationship, for better organization and storage. For example, we


/ 8 min read

Big-O Notation Explained with Examples

Asymptotic notation is a set of languages which allow us to express the performance of our algorithms in relation to their input. Big O notation is used in Computer Science to describe the performance or complexity of an algorithm. Big O specifically describes the worst-case

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