Book Image

Hands-On Data Structures and Algorithms with Rust

By : Claus Matzinger
Book Image

Hands-On Data Structures and Algorithms with Rust

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)

From chaos to order

There are many sorting algorithms (and their individual variations), each with their individual characteristics. Since it is impossible to cover every algorithm in a single chapter, and considering their limited usefulness, this chapter covers a selected few.

The selection should show the different strategies that are common in sorting a collection of items, many of which have been implemented in various libraries across different languages. Since many of you will never implement any sorting algorithms for productive use, this section is supposed to familiarize you with what's behind the scenes when a call to mycollection.sort() is issued, and why this could take a surprising amount of time.

Sorting algorithms fall into a group on each of these properties:

  • Stable: Maintains a relative order when comparing equal values
  • Hybrid: Combines two or more sorting...