Book Image

The Complete Rust Programming Reference Guide

By : Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger
Book Image

The Complete Rust Programming Reference Guide

By: Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger

Overview of this book

Rust is a powerful language with a rare combination of safety, speed, and zero-cost abstractions. This Learning Path is filled with clear and simple explanations of its features along with real-world examples, demonstrating how you can build robust, scalable, and reliable programs. You’ll get started with an introduction to Rust data structures, algorithms, and essential language constructs. Next, you will understand how to store data using linked lists, arrays, stacks, and queues. You’ll also learn to implement sorting and searching algorithms, such as Brute Force algorithms, Greedy algorithms, Dynamic Programming, and Backtracking. As you progress, you’ll pick up on using Rust for systems programming, network programming, and the web. You’ll then move on to discover a variety of techniques, right from writing memory-safe code, to building idiomatic Rust libraries, and even advanced macros. By the end of this Learning Path, you’ll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code. This Learning Path includes content from the following Packt products: • Mastering Rust - Second Edition by Rahul Sharma and Vesa Kaihlavirta • Hands-On Data Structures and Algorithms with Rust by Claus Matzinger
Table of Contents (29 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Index

Chapter 20. Finding Stuff

The issue with searching for something is always directly related to the space in which you are searching. You will certainly have experienced looking for your keys in your house: the search space contains anything from jackets worn the previous day to the sock drawer into which the key might have slipped the last time you did the washing. Upon finding the item (and after a lot of wasted time spent running up and down stairs and searching in various rooms), you then swear to keep things tidier in the future....

We have encountered this issue more often than we are comfortable with admitting, but it illustrates a fundamental issue that we can solve algorithmically without any particular order to build on. In this chapter, we'll explore how to do the following:

  • Finding items in an unordered array of chaos
  • Making a trade-off between preparation and search