Book Image

C++17 STL Cookbook

By : Jacek Galowicz
Book Image

C++17 STL Cookbook

By: Jacek Galowicz

Overview of this book

C++ has come a long way and is in use in every area of the industry. Fast, efficient, and flexible, it is used to solve many problems. The upcoming version of C++ will see programmers change the way they code. If you want to grasp the practical usefulness of the C++17 STL in order to write smarter, fully portable code, then this book is for you. Beginning with new language features, this book will help you understand the language’s mechanics and library features, and offers insight into how they work. Unlike other books, ours takes an implementation-specific, problem-solution approach that will help you quickly overcome hurdles. You will learn the core STL concepts, such as containers, algorithms, utility classes, lambda expressions, iterators, and more, while working on practical real-world recipes. These recipes will help you get the most from the STL and show you how to program in a better way. By the end of the book, you will be up to date with the latest C++17 features and save time and effort while solving tasks elegantly using the STL.
Table of Contents (18 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Limiting the values of a vector to a specific numeric range with std::clamp


In a lot of applications, we get numeric data from somewhere. Before we can plot or otherwise process it, it may need to be normalized because the values differ randomly far from each other.

Usually, this would mean a little std::transform call over the data structure that holds all these values, combined with a simple scaling function. But if we do not know how large or small the values are, we need to go through the data first in order to find the right dimensions for the scaling function.

The STL contains useful functions for this purpose: std::minmax_element and std::clamp. Using these and combining them with some lambda expression glue, we can perform such a task easily.

How to do it...

In this section, we will normalize the values of a vector from an example numeric range to a normalized one in two different ways, one of them using std::minmax_element and one using std::clamp:

  1. As always, we first need to include...