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C# Data Structures and Algorithms

C# Data Structures and Algorithms

By : Marcin Jamro
3.7 (7)
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C# Data Structures and Algorithms

C# Data Structures and Algorithms

3.7 (7)
By: Marcin Jamro

Overview of this book

Data structures allow organizing data efficiently. They are critical to various problems and their suitable implementation can provide a complete solution that acts like reusable code. In this book, you will learn how to use various data structures while developing in the C# language as well as how to implement some of the most common algorithms used with such data structures. At the beginning, you will get to know arrays, lists, dictionaries, and sets together with real-world examples of your application. Then, you will learn how to create and use stacks and queues. In the following part of the book, the more complex data structures will be introduced, namely trees and graphs, together with some algorithms for searching the shortest path in a graph. We will also discuss how to organize the code in a manageable, consistent, and extendable way. By the end of the book,you will learn how to build components that are easy to understand, debug, and use in different applications.
Table of Contents (9 chapters)
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Variants of Trees

In the previous chapters, you have learned about many data structures, starting with simple ones, such as arrays. Now, it is time for you to get to know a significantly more complex group of data structures, namely trees.

At the beginning of this chapter, the basic tree will be presented, together with its implementation in the C# language and some examples showing it in action. Then, the binary tree will be introduced with a detailed description of its implementation and an example of its application. The binary search tree is another tree variant, which is one of the most popular types of trees, used in many algorithms. The following two sections will cover self-balancing trees, namely AVL and red-black trees.

The remaining part of the chapter is dedicated to heaps as tree-based data structures. Three kinds of heaps will be presented: binary, binomial...

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