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Modern C++ Programming Cookbook

Modern C++ Programming Cookbook

By : Marius Bancila
4 (7)
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Modern C++ Programming Cookbook

Modern C++ Programming Cookbook

4 (7)
By: Marius Bancila

Overview of this book

C++ is one of the most widely used programming languages. Fast, efficient, and flexible, it is used to solve many problems. The latest versions of C++ have seen programmers change the way they code, giving up on the old-fashioned C-style programming and adopting modern C++ instead. Beginning with the modern language features, each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. You will learn major concepts about the core programming language as well as common tasks faced while building a wide variety of software. You will learn about concepts such as concurrency, performance, meta-programming, lambda expressions, regular expressions, testing, and many more in the form of recipes. These recipes will ensure you can make your applications robust and fast. By the end of the book, you will understand the newer aspects of C++11/14/17 and will be able to overcome tasks that are time-consuming or would break your stride while developing.
Table of Contents (13 chapters)
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Initializing all bits of internal state of a pseudo-random number generator


In the previous recipe, we have looked at the pseudo-random number library with its components and how it can be used to produce numbers in different statistical distributions. One important factor that was overlooked in that recipe is the proper initialization of the pseudo-random number generators. In this recipe, you will learn how to initialize a generator in order to produce the best sequence of pseudo-random numbers.

Getting ready

You should read the previous recipe, Generating pseudo-random numbers, to get an overview of what the pseudo-random number library offers.

How to do it...

To properly initialize a pseudo-random number generator to produce the best sequence of pseudo-random numbers, perform the following steps:

  1. Use an std::random_device to produce random numbers to be used as seeding values:
        std::random_device rd;
  1. Generate random data for all internal bits of the engine:
        std::array<int,...
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