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C++ High Performance

You're reading from   C++ High Performance Master the art of optimizing the functioning of your C++ code

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781839216541
Length 544 pages
Edition 2nd Edition
Languages
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Authors (2):
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Viktor Sehr Viktor Sehr
Author Profile Icon Viktor Sehr
Viktor Sehr
Björn Andrist Björn Andrist
Author Profile Icon Björn Andrist
Björn Andrist
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Toc

Table of Contents (17) Chapters Close

Preface 1. A Brief Introduction to C++ 2. Essential C++ Techniques FREE CHAPTER 3. Analyzing and Measuring Performance 4. Data Structures 5. Algorithms 6. Ranges and Views 7. Memory Management 8. Compile-Time Programming 9. Essential Utilities 10. Proxy Objects and Lazy Evaluation 11. Concurrency 12. Coroutines and Lazy Generators 13. Asynchronous Programming with Coroutines 14. Parallel Algorithms 15. Other Books You May Enjoy
16. Index

Postponing sqrt computations

This section will show you how to use a proxy object in order to postpone, or even avoid, using the computationally heavy std::sqrt() function when comparing the length of two-dimensional vectors.

A simple two-dimensional vector class

Let's start with a simple two-dimensional vector class. It has x and y coordinates and a member function called length() that calculates the distance from the origin to the location (x, y). We will call the class Vec2D. Here follows the definition:

class Vec2D {
public:
  Vec2D(float x, float y) : x_{x}, y_{y} {}
  auto length() const {
    auto squared = x_*x_ + y_*y_;
    return std::sqrt(squared);
  }
private:
  float x_{};
  float y_{};
};

Here is an example of how clients can use Vec2D:

auto a = Vec2D{3, 4}; 
auto b = Vec2D{4, 4};
auto shortest = a.length() < b.length() ? a : b;
auto length = shortest.length();
std::cout << length; // Prints 5 

The example creates two vectors and...

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