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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

Exotic things

One class that was omitted from the earlier list is polynomial time (P in short). This class is quicker to solve than the exponential time class, but worse than O(n²). These problems include checking whether a number is a prime number, or solving a Sudoku. However, there are other problems in this class as well that actually have no "quick" (that is, solvable in P) solution, but a solution can be verified in P time. These are called NP (an abbreviation of non-deterministic polynomial time) problems and the hardest of them are NP-hard (see the information box).

The distinction between P, NP, NP-complete, and NP-hard is not intuitive. NP problems are problems that can be solved using a non-deterministic Turing machine in P time. NP-hard problems are problems without a solution that, if solved, would have a polynomial time solution and if it is also an NP problem, it is also considered NP-complete. Additionally, finding a solution for one of either class (NP...
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