Book Image

Introduction to Algorithms

By : Cuantum Technologies LLC
Book Image

Introduction to Algorithms

By: Cuantum Technologies LLC

Overview of this book

Begin your journey into the fascinating world of algorithms with this comprehensive course. Starting with an introduction to the basics, you will learn about pseudocode and flowcharts, the fundamental tools for representing algorithms. As you progress, you'll delve into the efficiency of algorithms, understanding how to evaluate and optimize them for better performance. The course will also cover various basic algorithm types, providing a solid foundation for further exploration. You will explore specific categories of algorithms, including search and sort algorithms, which are crucial for managing and retrieving data efficiently. You will also learn about graph algorithms, which are essential for solving problems related to networks and relationships. Additionally, the course will introduce you to the data structures commonly used in algorithms. Towards the end, the focus shifts to algorithm design techniques and their real-world applications. You will discover various strategies for creating efficient and effective algorithms and see how these techniques are applied in real-world scenarios. By the end of the course, you will have a thorough understanding of algorithmic principles and be equipped with the skills to apply them in your technical career.
Table of Contents (14 chapters)
11
Conclusion
12
Where to continue?
13
Know more about us

6.1 Bubble Sort

Let's start with the Bubble Sort algorithm. Bubble Sort is one of the simplest sorting algorithms that can be easily understood by beginners. It is a good starting point for understanding the logic behind sorting and serves as a foundation for learning more complex algorithms.

Bubble Sort works by repeatedly stepping through the list to be sorted, comparing each pair of adjacent items, and swapping them if they are in the wrong order. The algorithm sorts the list by moving the larger or smaller elements towards the end or beginning of the list, respectively. This process is repeated until the list is sorted in ascending or descending order.

Although Bubble Sort is simple, it has some limitations. In terms of time complexity, Bubble Sort is not the most efficient algorithm. It has an average and worst-case complexity of O(n²), where n is the number of items to be sorted. This means that as the size of the input grows, the algorithm takes longer to execute,...