Book Image

Data Structures and Algorithms with the C++ STL

By : John Farrier
5 (2)
Book Image

Data Structures and Algorithms with the C++ STL

5 (2)
By: John Farrier

Overview of this book

While the Standard Template Library (STL) offers a rich set of tools for data structures and algorithms, navigating its intricacies can be daunting for intermediate C++ developers without expert guidance. This book offers a thorough exploration of the STL’s components, covering fundamental data structures, advanced algorithms, and concurrency features. Starting with an in-depth analysis of the std::vector, this book highlights its pivotal role in the STL, progressing toward building your proficiency in utilizing vectors, managing memory, and leveraging iterators. The book then advances to STL’s data structures, including sequence containers, associative containers, and unordered containers, simplifying the concepts of container adaptors and views to enhance your knowledge of modern STL programming. Shifting the focus to STL algorithms, you’ll get to grips with sorting, searching, and transformations and develop the skills to implement and modify algorithms with best practices. Advanced sections cover extending the STL with custom types and algorithms, as well as concurrency features, exception safety, and parallel algorithms. By the end of this book, you’ll have transformed into a proficient STL practitioner ready to tackle real-world challenges and build efficient and scalable C++ applications.
Table of Contents (30 chapters)
Free Chapter
1
Part 1: Mastering std::vector
7
Part 2: Understanding STL Data Structures
13
Part 3: Mastering STL Algorithms
19
Part 4: Creating STL-Compatible Types and Algorithms
23
Part 5: STL Data Structures and Algorithms: Under the Hood

Concurrency versus thread safety

Concurrency is the concept of multiple tasks executing in overlapping periods. These tasks can either run at the same time on different processing units or might interleave on a single processing unit. The main goal of concurrency is to increase the system’s responsiveness and throughput. Concurrency is beneficial in various scenarios, such as when designing servers that handle multiple simultaneous client requests or in user interfaces that must remain responsive while processing tasks in the background.

In C++, concurrency can manifest in multiple forms: multi-threading, where separate threads of execution run (potentially) in parallel, or asynchronous programming, in which specific tasks are offloaded to be executed later.

In C++, it’s crucial to understand that concurrency and thread safety are related but distinct concepts. Concurrency refers to the program’s ability to execute multiple sequences of operations simultaneously...