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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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AVL trees

In this section, you will get to know one of the variants of self-balancing trees, which keeps the tree balanced all the time while adding and removing nodes. However, why is it so important? As already mentioned, the performance of the lookup time depends on the shape of the tree. In the case of improper organization of nodes, forming a list, the process of searching for a given value can be the O(n) operation. With a correctly arranged tree, the performance can be significantly improved to O(log n).

Do you know that a BST can very easily become an unbalanced tree? Let's make a simple test of adding the following nine numbers to the tree, from 1 to 9. Then, you will receive the tree with the shape shown in the following diagram on the left. However, the same values can be arranged in another way, as a balanced tree, with significantly better breadth-depth...

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