About Recusrion

What is Recursion? Any function which calls itself is called a recursive function. A recursive method solves a problem by calling a copy of itself to work on a smaller problem. This is called the recursion step. The recursion step can result in many more such recursive calls. It is important to ensure that the recursion terminates. Each… Read More »

Master Theorem for Divide and Conquer

All divide and conquer algorithms divides the problem into sub problems, each of which is part of the original problem, and then perform some additional work to compute the final answer. As an example, merge sort algorithm operates on two sub-problems, each of which is half the size of the original and performs O(n) additional work for merging.… Read More »

Types of Analysis of Algorithms

To analyze the given algorithm we need to know on what inputs the algorithm is taking less time (performing well) and on what inputs the algorithm is taking huge time. We know that an algorithm can be represented in form of an expression. That means we represent the algorithm with multiple expressions: one for case where it is… Read More »

What is Rate of Growth of Algorithm?

The rate at which running time increases as a function of input is called Rate of Growth. Let us assume that you went to a shop to buy a car and a cycle. If your friend sees you there and asks what you are buying then in general we say buying a car. This is because. cost of… Read More »

What is an Algorithm?

Let us consider the problem of preparing an omelet. For preparing omelet, general steps we follow are: 1.>Get the frying pan. 2.>Get the oil. ->Do we have oil? *If yes, put it in the pan. *If no, do we want to buy oil? #If yes, then go out and buy oil. #If no, then we can terminate. 3.>Turn… Read More »

Hello world!

Welcome to Study Algorithms. Here we will try to learn some very basic algorithms used in everyday coding practices. Useful for students of all kinds and helpful with interviews as well. You can always post ideas and suggestions in the comments section. All queries will be well entertained. Happy Learning!