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

Summary

In this chapter, we have immersed ourselves in the versatile world of algorithms provided by the C++ STL that handle numeric sequences and operate on sorted ranges. We started with basic numeric operations, such as generating sequences with std::iota, summing elements with accumulate, and exploring the interactions of adjacent elements with std::adjacent_difference. The chapter explored more complex tasks, such as computing inner products with std::inner_product.

These operations are essential in data handling and analysis within STL containers, facilitating tasks from simple accumulations to complex transformations. The information presented is crucial for developers, as it enhances efficiency and efficacy when performing numerical computations and prepares them for high-performance scenarios, especially when dealing with large datasets.

The chapter also covered advanced numeric operations, which are particularly beneficial in parallel computing environments. We learned...