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

Advanced numeric operations

In order to take our journey with the numeric operations of the C++ STL a step further, let’s look at the advanced numerical procedures that elevate data handling and make parallelism and concurrency allies in the pursuit of performance.

Remember our discussion about generating sequences and computing summaries? Well, imagine supercharging these operations to process enormous volumes of data efficiently by harnessing the power of multiple processors. This is precisely where advanced numeric operations shine. Parallel algorithms, introduced in C++17, provide the means to achieve this, ensuring our computations are both swift and efficient, even in concurrent environments.

When dealing with vast datasets, sequential processing often doesn’t cut it. Take the example of summing up a large vector of numbers. Doing it in a straight line gets the job done but might not be the quickest. However, the operation can be sped up significantly by splitting...