# Algorithm

## Heap Sort

Here, We will discuss about Heap Sort in C, their algorithm, implementation code in C, time and space complexity, and their applications. What is Heap Sort? Heap Sort is a comparison-based sorting algorithm. This sorting algorithm has more favorable worst-case O(n log n) runtime. Heap Sort is an in-place algorithm but is not a stable …

## Bucket Sort

Here, We will discuss about Bucket Sort in C, their algorithm, implementation code in C, time and space complexity, and their applications. What is Bucket Sort? Bucket Sort is a comparison sort algorithm. Like Counting sort, Bucket Sort also imposes restrictions on the input to improve the performance. The algorithm based on the idea that …

## Shell Sort

Here, We will discuss about Shell Sort in C, their algorithm, implementation code in C, time and space complexity, and their applications. What is Shell Sort? Shell Sort also called diminishing increment sort. This sorting algorithm is a generalization of insertion sort. Shell sort is efficient for medium size lists. For bigger lists, the algorithm …

## Sorting Algorithms

Here, We will learn about sorting algorithms, why is sorting necessary, classification and complexity of sorting, types of sort. What is Sorting? Sorting refers to arranging data in a particular format. Sorting Algorithm is an algorithm that arranges the elements in a certain order [either ascending or descending]. The output is reordering of the input. …

## Difference Between Recursion and Iteration

Here, We will learn about recursion, iteration, differences between recursion and iteration and their code in java. Recursion Recursion is a technique in which function calls itself until a base condition is satisfied. A recursive method solves a problem by calling a copy of itself to work on a smaller problem Example Recursion Code in …

## Analysis of Loops – Asymptotic Notation

Here, We learn about the analysis of loops like O(1), O(n), O(nc), O(log n), O(log log n) and O(m+n) in terms of time complexity and order of growth of functions in the algorithm.

## Recursive Algorithms

Here, We will learn about recursive algorithm, recursion, recursive function, implementation, properties and examples of recursion. Recursive Algorithms: A Recursive Algorithm that calls itself repeatedly until a base condition is satisfied. Recursion is a technique in which function calls itself. A recursive method that solves a problem by calling a copy of itself to work …

## Iterative Algorithms

Here, We will learn about the iterative algorithm, iteration, implementation and properties of iteration. Iterative Algorithms: An Iterative Algorithm that calls repeatedly but for a finite number of times. It use constructs like loops and sometime other data structures like stacks and queues to solve the problems. Iteration is a technique in which function call …

## Introduction to Algorithms

Algorithms are a series of steps or rules for solving a computational problem. Here we learn categories, characteristics of algorithms, how to write algorithms with help of examples like write algorithm for the addition of two numbers

## Analysis of Algorithms

Algorithms Analysis help us to determine which algorithms are more efficient. Types of analysis:-Worst, Best, Average. How to Compare two Algorithms? Algorithm Complexity – Space Complexity, Time Complexity, Runtime Analysis of algorithms

## Asymptotic Analysis and Notation

Asymptotic Analysis of an algorithm refers to computing the running time of any operation in mathematical units of computation. We will learn about asymptotic analysis and notation, types of notation: big-o, omega & theta notation and growth rate of algorithm.

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