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Expert C++

You're reading from   Expert C++ Become a proficient programmer by learning coding best practices with C++17 and C++20's latest features

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838552657
Length 606 pages
Edition 1st Edition
Languages
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Authors (2):
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Vardan Grigoryan Vardan Grigoryan
Author Profile Icon Vardan Grigoryan
Vardan Grigoryan
Shunguang Wu Shunguang Wu
Author Profile Icon Shunguang Wu
Shunguang Wu
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Toc

Table of Contents (22) Chapters Close

Preface 1. Section 1: Under the Hood of C++ Programming
2. Introduction to Building C++ Applications FREE CHAPTER 3. Low-Level Programming with C++ 4. Details of Object-Oriented Programming 5. Understanding and Designing Templates 6. Memory Management and Smart Pointers 7. Section 2: Designing Robust and Efficient Applications
8. Digging into Data Structures and Algorithms in STL 9. Functional Programming 10. Concurrency and Multithreading 11. Designing Concurrent Data Structures 12. Designing World-Ready Applications 13. Designing a Strategy Game Using Design Patterns 14. Networking and Security 15. Debugging and Testing 16. Graphical User Interface with Qt 17. Section 3: C++ in the AI World
18. Using C++ in Machine Learning Tasks 19. Implementing a Dialog-Based Search Engine 20. Assessments 21. Other Books You May Enjoy

Mastering algorithms

As already mentioned, algorithms are functions taking some input, processing it, and returning an output. Usually, an algorithm in the context of the STL implies a function processing a collection of data. Collections of data are presented in the form of containers, such as std::vector, std::list, and others.

Choosing an efficient algorithm is a common task in a programmer's routine. For example, searching a sorted vector using the binary search algorithm will be much more efficient than using sequential searching. To compare the efficiency of algorithms, a so-called asymptotic analysis is performed, which takes into consideration the speed of the algorithm with regard to the input data size. This means that we shouldn't actually compare two algorithms by applying them to a container with ten or a 100 elements.

The actual difference of algorithms...

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