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

Utilizing type traits with the STL

Utilizing type traits with STL data types and algorithms is a powerful technique that enhances the efficiency and correctness of C++ programming. When applied to STL data types, type traits enable a deeper understanding of the characteristics of these types, such as their size, alignment, or whether they are fundamental types. This insight can significantly optimize data storage and access patterns, leading to better memory management and performance.

In the context of STL algorithms, type traits are instrumental in selecting the most appropriate algorithm or optimizing its behavior based on the properties of the types involved. For example, knowing whether a type supports certain operations can allow algorithms to bypass unnecessary checks or use more efficient techniques. This boosts performance and ensures that algorithms with various types behave as expected.

Applying type traits in STL data types and algorithms is essential to advanced...