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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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Summary

You just completed the ninth chapter of this book, which examined data structures and algorithms in the context of the C# language. This time, we focused on practical examples of algorithms, with code snippets, detailed descriptions, and also brief indications of which types of algorithms the aforementioned examples belong to.

First, you learned how to implement a simple algorithm to calculate a given number from the Fibonacci series in three variants. You saw a simple recursive approach as well as top-down and bottom-up approaches to dynamic programming.

The next example showed the greedy approach to solve the minimum coin change problem. It was followed by the divide-and-conquer algorithm to find the closest pair of points located on a two-dimensional surface. The fourth example presented a recursive way of generating fractals and drawing them on a bitmap.

The following two examples were related to back-tracking algorithms to solve the rat in a maze and the Sudoku...

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C# Data Structures and Algorithms
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