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C++17 STL Cookbook

You're reading from C++17 STL Cookbook Discover the latest enhancements to functional programming and lambda expressions

Product type Paperback

Published in Jun 2017

Publisher Packt

ISBN-13 9781787120495

Length 532 pages

Edition 1st Edition

Languages

C++

Tools

STL

Concepts

Functional Programming

Author (1):

Jacek Galowicz

View More author details

Table of Contents (11) Chapters

Preface

1. The New C++17 Features FREE CHAPTER

2. STL Containers

3. Iterators

4. Lambda Expressions

5. STL Algorithm Basics

6. Advanced Use of STL Algorithms

7. Strings, Stream Classes, and Regular Expressions

8. Utility Classes

9. Parallelism and Concurrency

10. Filesystem

Advanced Use of STL Algorithms

We will cover the following recipes in this chapter:

Implementing a trie class using STL algorithms
Implementing a search input suggestion generator with tries
Implementing the Fourier transform formula with STL numeric algorithms
Calculating the error sum of two vectors
Implementing an ASCII Mandelbrot renderer
Building our own algorithm - split
Composing useful algorithms from standard algorithms - gather
Removing consecutive whitespace between words
Compressing and decompressing strings

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Authors (1)

Galowicz

Galowicz

Jacek Galowicz obtained his master of science in electrical engineering/computer engineering at RWTH Aachen University, Germany. While at university, he enjoyed working as a student assistant in teaching and research, and he participated in several scientific publications. During and after his studies, he worked as a freelancer and implemented applications as well as kernel drivers in C and C++, touching various areas, including 3D graphics programming, databases, network communication, and physics simulation. In recent years, he has been programming performance- and security-sensitive microkernel operating systems for Intel x86 virtualization at Intel and FireEye in Braunschweig, Germany. He has a strong passion for modern C++ implementations of low-level software, and he tries hard to combine high performance with an elegant coding style. Learning purely functional programming and Haskell in recent years triggered his drive to implement generic code with the aid of meta programming.

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