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Data Structures and Algorithms with the C++ STL

Data Structures and Algorithms with the C++ STL

By : John Farrier
4.5 (8)
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Data Structures and Algorithms with the C++ STL

Data Structures and Algorithms with the C++ STL

4.5 (8)
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)
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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

Best practices

The following best practices are associated with numeric and range-based operations:

  • Selecting the most suitable algorithm based on data attributes: Effectively using the numeric and range-based operations from the C++ STL requires more than just knowing their functionalities; it’s crucial to discern when and where to employ them to ensure optimal performance and data preservation. Different datasets exhibit varying properties such as size, distribution, and repetition frequency. These properties can influence the performance of certain operations. For example, std::stable_sort may prove more efficient than other sorting methods for a nearly sorted dataset. Thus, understanding your dataset’s characteristics is pivotal when deciding appropriate operations.
  • Maintaining data integrity in sorted operations: Preserving data integrity is paramount, especially in processes that rely on sorted datasets. Many range-based operations, such as binary searches...
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Data Structures and Algorithms with the C++ STL
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