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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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Toc

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

LCG

The LCG is one of the oldest ways of generating a pseudo-random number sequence. It follows a simple, recursive formula:

X denotes the random number (or, more precisely, the nth random number in the sequence). It is based on its predecessor multiplied by a factor, a, and offset by a constant, c. The modulo operator makes sure that there is no overflow. What's the first X? The seed! So a random number sequence will start with the seed, providing determinism if needed.

These parameter settings are subject to significant testing; in fact, many library and compiler developers have different settings. The Wikipedia page provides an overview (https://en.wikipedia.org/wiki/Linear_congruential_generator):

pub struct LCG {
xn: f32,
m: f32,
c: f32,
a: f32,
}

impl LCG {
fn seeded(seed: u32) -> LCG {
LCG {
xn: seed as f32,
m: 2e31,
a: 171f32,
c: 8f32,
}
}

fn new(seed: f32, m: f32, a: f32, c: f32) -> LCG ...
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