Book Image

Expert C++ - Second Edition

By : Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Vardan Grigoryan, Shunguang Wu
5 (1)
Book Image

Expert C++ - Second Edition

5 (1)
By: Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Vardan Grigoryan, Shunguang Wu

Overview of this book

Are you an experienced C++ developer eager to take your skills to the next level? This updated edition of Expert C++ is tailored to propel you toward your goals. This book takes you on a journey of building C++ applications while exploring advanced techniques beyond object-oriented programming. Along the way, you'll get to grips with designing templates, including template metaprogramming, and delve into memory management and smart pointers. Once you have a solid grasp of these foundational concepts, you'll advance to more advanced topics such as data structures with STL containers and explore advanced data structures with C++. Additionally, the book covers essential aspects like functional programming, concurrency, and multithreading, and designing concurrent data structures. It also offers insights into designing world-ready applications, incorporating design patterns, and addressing networking and security concerns. Finally, it adds to your knowledge of debugging and testing and large-scale application design. With Expert C++ as your guide, you'll be empowered to push the boundaries of your C++ expertise and unlock new possibilities in software development.
Table of Contents (24 chapters)
1
Part 1:Under the Hood of C++ Programming
7
Part 2: Designing Robust and Efficient Applications
18
Part 3:C++ in the AI World

Algorithms

Algorithms, as mentioned previously, are functions that take an input, process it, and provide an output. In most cases, in STL, an algorithm refers to a function that processes a set of data. Containers, such as std::vector, std::list, and others, are used to store data collections.

One of the common tasks in a programmer’s routine is to select an efficient algorithm. For example, using the binary search technique to search a sorted vector will be significantly faster than using sequential searching. An asymptotic analysis, which considers the speed of the algorithm concerning the size of the input data, is used to compare the efficiency of algorithms. This means that we should not compare two algorithms by applying them to a container with 10 or 100 elements.

The true difference between methods becomes apparent when they’re applied to a large enough container – one with one million or even one billion elements. Verifying an algorithm’s...