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Hands-On Data Structures and Algorithms with Rust

You're reading from   Hands-On Data Structures and Algorithms with Rust Learn programming techniques to build effective, maintainable, and readable code in Rust 2018

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788995528
Length 316 pages
Edition 1st Edition
Languages
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Author (1):
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Claus Matzinger Claus Matzinger
Author Profile Icon Claus Matzinger
Claus Matzinger
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Table of Contents (15) Chapters Close

Preface 1. Hello Rust! FREE CHAPTER 2. Cargo and Crates 3. Storing Efficiently 4. Lists, Lists, and More Lists 5. Robust Trees 6. Exploring Maps and Sets 7. Collections in Rust 8. Algorithm Evaluation 9. Ordering Things 10. Finding Stuff 11. Random and Combinatorial 12. Algorithms of the Standard Library 13. Assessments 14. Other Books You May Enjoy

Adding locations

In order to add a location, there are two important steps:

  1. Compute the hash
  2. Choose a bucket

Further operations, such as doing a sorted insert, will improve performance too, but they can be omitted by using a tree instead of a list within each bucket.

The location cache implementation uses a simple modulo operation between the hash and the length of the array to choose a bucket, which means that on top of regular hash collisions, choosing the size of the internal storage has a major influence on the performance as well. Choose a size too small and the buckets will overlap, regardless of the hash function!

In Rust code, the first part is done in the first line using the provided boxed hashcode function to create a hash. What follows is finding a bucket by applying something akin to the modulo operation (a binary AND operation between the hash and the highest index of the storage array) and a linear search of the attached list. If the key is found, the attached pair is...

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