Book Image

C# Data Structures and Algorithms

By : Marcin Jamro
Book Image

C# Data Structures and Algorithms

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 (14 chapters)

Coloring


The topic of finding the MST is not the only graph-related problem. Among others, node coloring exists. Its aim is to assign colors (numbers) to all nodes to comply with the rule that there cannot be an edge between two nodes with the same color. Of course, the number of colors should be as low as possible. Such a problem has some real-world applications, such as for coloring a map, which is the topic of the example shown later.

Note

Did you know that the nodes of each planar graph can be colored with no more than four colors? If you are interested in this topic, take a look at the four-color theorem (http://mathworld.wolfram.com/Four-ColorTheorem.html). The implementation of the coloring algorithm shown in this chapter is simple and in some cases could use more colors than really necessary.

Let's take a look at the following diagram:

The first diagram (shown on the left) presents a graph that is colored using four colors: red (index equal to 0), green (1), blue (2), and violet (3)...