Book Image

C# Data Structures and Algorithms - Second Edition

By : Marcin Jamro
Book Image

C# Data Structures and Algorithms - Second Edition

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 – precisely what this book offers 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 through the book, 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 the book, you’ll have learned how to use the C# language to build algorithmic components that are not only easy to understand and debug but also seamlessly applicable in various applications, spanning web and mobile platforms.
Table of Contents (13 chapters)

Summary

The current chapter was the longest so far in the book. However, it contained a lot of information about variants of trees. Such data structures perform a very important role in many algorithms, and it is good to learn more about them, as well as to know how to use them in your applications. For this reason, this chapter contained not only short theoretical introductions but also diagrams, explanations, and code samples.

At the beginning, the concept of a tree was described. As a reminder, a tree consists of nodes, including one root. The root does not contain a parent node, while all other nodes do. Each node can have any number of child nodes. The child nodes of the same node can be named siblings, while a node without children is named a leaf.

Various variants of trees follow this structure. The first one described in the chapter is a binary tree. In this case, a node can contain at most two children. However, the rules for binary search trees are even more strict...