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Hands-On Data Structures and Algorithms with Rust

Hands-On Data Structures and Algorithms with Rust

By : Claus Matzinger
2.7 (3)
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Hands-On Data Structures and Algorithms with Rust

Hands-On Data Structures and Algorithms with Rust

2.7 (3)
By: Claus Matzinger

Overview of this book

Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems' programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer. The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications.
Table of Contents (15 chapters)
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Summary

Rust's standard library includes several implementations for basic things such as sorting or searching on its primitive slice type and the Iterator<T> trait. The slice type in particular has many highly important functions to offer.

binary_search() is a generic implementation of the binary search concepts provided on the slice type. Vec<T> can be quickly and easily (and implicitly) converted into a slice, making this a universally available function. However, it requires a sorting order to be present in the slice to work (and it won't fail if it's not) and, if custom types are used, an implementation of the Ord trait.

In case the slice cannot be sorted beforehand, the Iterator<T> variable's implementation of position() (of find()) provides a basic linear search that returns the first position of the element.

Sorting is provided in...

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