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)
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Conclusion
12
Where to continue?
13
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7.3 Breadth-First Search

Breadth-First Search (BFS) is a graph traversal algorithm that visits nodes in a level-wise manner, starting from the root node and moving outwards. This means that it visits all the nodes closest to the root first before moving on to the next level. BFS is an efficient algorithm for finding the shortest path between two nodes in a graph or tree.

It does this by exploring all possible paths from the starting node to the ending node, ensuring that it finds the shortest path. Moreover, BFS is not only used for finding shortest paths but also for binary tree traversals. It is particularly useful for searching for the closest neighbors of a particular node in a graph or tree, as it visits the nodes in a level-wise order, ensuring that the closest neighbors are visited first.

Therefore, BFS is an essential algorithm in computer science and is widely used in various applications, such as network routing, data mining, and image processing.

Here's how the BFS...