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C++20 STL Cookbook

You're reading from   C++20 STL Cookbook Leverage the latest features of the STL to solve real-world problems

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781803248714
Length 450 pages
Edition 1st Edition
Tools
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Author (1):
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Bill Weinman Bill Weinman
Author Profile Icon Bill Weinman
Bill Weinman
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Table of Contents (13) Chapters Close

Preface 1. Chaper 1: New C++20 Features 2. Chapter 2: General STL Features FREE CHAPTER 3. Chapter 3: STL Containers 4. Chapter 4: Compatible Iterators 5. Chapter 5: Lambda Expressions 6. Chapter 6: STL Algorithms 7. Chapter 7: Strings, Streams, and Formatting 8. Chapter 8: Utility Classes 9. Chapter 9: Concurrency and Parallelism 10. Chapter 10: Using the File System 11. Chapter 11: A Few More Ideas 12. Other Books You May Enjoy

Calculate the error sum of two vectors

Given two similar vectors that differ only by quantization or resolution, we can use the inner_product() algorithm to calculate an error sum, defined as:

Figure 11.2 – Error sum definition

Where e is the error sum, the sum of the square of the difference between a series of points in two vectors.

We can use the inner_product() algorithm, from the <numeric> header, to calculate the error sum between two vectors.

How to do it…

In this recipe we define two vectors, each with a sine wave. One vector has values of type double and the other has type int. This gives us vectors that differ in quantization, because the int type cannot represent fractional values. We then use inner_product() to calculate the error sum between the two vectors:

  • In our main() function we define our vectors and a handy index variable:
    int main() {
        constexpr size_t vlen{ 100 };
      ...
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