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The Complete Rust Programming Reference Guide

You're reading from   The Complete Rust Programming Reference Guide Design, develop, and deploy effective software systems using the advanced constructs of Rust

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Product type Course
Published in May 2019
Publisher Packt
ISBN-13 9781838828103
Length 698 pages
Edition 1st Edition
Languages
Concepts
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Authors (3):
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Vesa Kaihlavirta Vesa Kaihlavirta
Author Profile Icon Vesa Kaihlavirta
Vesa Kaihlavirta
Rahul Sharma Rahul Sharma
Author Profile Icon Rahul Sharma
Rahul Sharma
Claus Matzinger Claus Matzinger
Author Profile Icon Claus Matzinger
Claus Matzinger
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Table of Contents (29) Chapters Close

Title Page
Copyright
About Packt
Contributors
Preface
1. Getting Started with Rust FREE CHAPTER 2. Managing Projects with Cargo 3. Tests, Documentation, and Benchmarks 4. Types, Generics, and Traits 5. Memory Management and Safety 6. Error Handling 7. Advanced Concepts 8. Concurrency 9. Metaprogramming with Macros 10. Unsafe Rust and Foreign Function Interfaces 11. Logging 12. Network Programming in Rust 13. Building Web Applications with Rust 14. Lists, Lists, and More Lists 15. Robust Trees 16. Exploring Maps and Sets 17. Collections in Rust 18. Algorithm Evaluation 19. Ordering Things 20. Finding Stuff 21. Random and Combinatorial 22. Algorithms of the Standard Library 1. Other Books You May Enjoy Index

Heaps


Since binary trees are the most basic forms of trees, there are several variations designed for a specific purpose. Where the red-black tree is an advanced version of the initial tree, the binary heap is a version of the binary tree that does not facilitate search.

In fact, it has a specified purpose: finding the maximum or minimum value of a node. These heaps (min-heap or max-heap) are built in a way that the root node is always the value with the desired property (min or max) so it can be retrieved in constant time—that is, it always takes the same number of operations to fetch. Once fetched, the tree is restored in a way that the next operation works the same. How is this done though?

Heaps work, irrespective of whether they are min-heaps or max-heaps, because a node's children always have the same property as the entire tree. In a max-heap, this means that the root node is the maximum value of the sequence, so it has to be the greatest value of its children (it's the same with min...

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