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C# Data Structures and Algorithms

C# Data Structures and Algorithms - Second Edition

By : Marcin Jamro
4.1 (25)
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C# Data Structures and Algorithms

C# Data Structures and Algorithms

4.1 (25)
By: Marcin Jamro

Overview of this book

Building your own applications is exciting but challenging, especially when tackling complex problems tied to advanced data structures and algorithms. This endeavor demands profound knowledge of the programming language as well as data structures and algorithms. C# Data Structures and Algorithms, armed with critical knowledge from an entrepreneur, author, industry expert, and seasoned developer with significant international experience, offers just that to C# developers. Starting with an introduction to algorithms, this book gradually immerses you in the world of arrays, lists, stacks, queues, dictionaries, and sets. Real-world examples, enriched with code snippets and illustrations, provide a practical understanding of these concepts. You’ll also learn how to sort arrays using various algorithms, setting a solid foundation for your programming expertise. As you progress, you’ll venture into more complex data structures – trees and graphs – and discover algorithms for tasks such as determining the shortest path in a graph before advancing to see various algorithms in action, such as solving Sudoku. By the end of this book, you’ll be able to use the C# language to build algorithmic components that are not only easy to understand and debug but also seamlessly applicable in various apps, spanning web and mobile platforms.
Table of Contents (13 chapters)
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Exploring Graphs

In the previous chapter, you learned about trees. However, did you know that such data structures also belong to graphs? But what is a graph and how can you use one in your applications? You’ll find the answers to these and many other questions in this chapter!

First, basic information about graphs will be presented, including an explanation of nodes and edges. As graphs are data structures that are commonly used in practice, you will also see some of their applications, such as for storing data of friends on social media or for finding a road in a city. Then, the topic of graph representation will be covered, namely using an adjacency list and matrix.

After this short introduction, you will learn how to implement a graph in the C# language. Moreover, you will learn about two modes of graph traversal, namely depth-first search (DFS) and breadth-first search (BFS). For both of them, the code and a detailed description will be shown.

Next, you will learn...

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