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)


Finding things in a collection has been discussed throughout this book, and the Rust standard library provides a few ways by default. These functions are attached to the Iterator<T> trait or slice types and work regardless of the actual type, provided that a function to compare two elements is furnished.

This can either be the Ord trait or a custom comparator function, such as the position() function on the Iterator<T>.

Linear search

The classic linear search is provided via position() (or rposition()) on the Iterator<T> trait, and it even utilizes other iterator functions that are implemented on the trait itself:

fn position<P>(&mut self, mut predicate: P) -> Option<usize> where...