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 thoroughly examined the relationship between memory management and the use of std::vector. We began by revisiting the fundamental concepts of capacity versus size, emphasizing their distinct roles and the importance of this distinction for efficient memory use. The mechanics underlying the std::vector container’s memory allocation were then explored, clarifying what happens internally when vectors grow or shrink.

We discussed the nuances of resizing and reserving memory, where functions such as reserve() and shrink_to_fit() were introduced as tools for optimizing memory usage. The real-world relevance of these methods was underscored, highlighting their utility in high-performance applications.

The chapter introduced the basics of custom allocators, elaborating on their role and delving into the allocator interface. We addressed the trade-offs and illustrated why custom allocators can be preferable to directly using new, delete, and managed...