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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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Conclusion

As you saw while reading the book, there are many data structures with many configuration variants. Thus, choosing a proper data structure is not an easy task, which could have a significant impact on the performance of the developed solution. Even the topics mentioned in this book form quite a long list of described data structures. For this reason, it is a good idea to classify them in some way.

Within this chapter, the described data structures are grouped into linear and non-linear categories. Each element in a linear data structure can be logically adjacent to the following or the previous element. In the case of a nonlinear data structure, a single element can be logically adjacent to numerous others, not necessarily only one or two.

As it is the last chapter of the book, we will also summarize all of the gathered knowledge. Each data structure will be presented with a brief description, and some of them will be also shown with illustrations to help you remember...

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