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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

Packing bags or the 0-1 knapsack problem

The knapsack problem is very real: any time you fly with a cheap airline with cabin baggage only, things get complicated. Do I really need this? I could just leave my DSLR at home and use my phone for pictures, right?

These are statements that express the potential value of an item and the considerations regarding its weight (or volume on these flights), and we typically want to bring the most valuable (to us) items on a trip. While this smells like an algorithmic problem, it's far from simple. Let's start with the goal:

Given n items (with weights and values), find the subset of items providing the highest value without exceeding the knapsack's capacity, W.

Derived from this, the way to implement the solution can be constructed as follows: as an exhaustive search algorithm, every possible solution can be the best solution. However, this will only become clear once all solutions are evaluated. Thus, let's generate every possible...

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