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Data Structures and Algorithms with the C++ STL

You're reading from   Data Structures and Algorithms with the C++ STL A guide for modern C++ practitioners

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781835468555
Length 458 pages
Edition 1st Edition
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John Farrier John Farrier
Author Profile Icon John Farrier
John Farrier
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Table of Contents (30) Chapters Close

Preface 1. Part 1: Mastering std::vector
2. Chapter 1: The Basics of std::vector FREE CHAPTER 3. Chapter 2: Mastering Iterators with std::vector 4. Chapter 3: Mastering Memory and Allocators with std::vector 5. Chapter 4: Mastering Algorithms with std::vector 6. Chapter 5: Making a Case for std::vector 7. Part 2: Understanding STL Data Structures
8. Chapter 6: Advanced Sequence Container Usage 9. Chapter 7: Advanced Ordered Associative Container Usage 10. Chapter 8: Advanced Unordered Associative Container Usage 11. Chapter 9: Advanced Container Adaptor Usage 12. Chapter 10: Advanced Container View Usage 13. Part 3: Mastering STL Algorithms
14. Chapter 11: Fundamental Algorithms and Searching 15. Chapter 12: Manipulation and Transformation 16. Chapter 13: Numeric and Range -Based Operations 17. Chapter 14: Permutations, Partitions, and Heaps 18. Chapter 15: STL with Ranges 19. Part 4: Creating STL-Compatible Types and Algorithms
20. Chapter 16: Creating STL-Types Containers 21. Chapter 17: Creating STL -Compatible Algorithms 22. Chapter 18: Type Traits and Policies 23. Part 5: STL Data Structures and Algorithms: Under the Hood
24. Chapter 19: Exception Safety 25. Chapter 20: Thread Safety and Concurrency with the STL 26. Chapter 21: STL Interaction with Concepts and Coroutines 27. Chapter 22: Parallel Algorithms with the STL 28. Index 29. Other Books You May Enjoy

Resizing and reserving memory

In our exploration of std::vector, understanding how to manage its memory effectively is essential. A vector’s beauty is in its dynamism; it can grow and shrink, adapting to the ever-changing requirements of our applications. Yet, with this flexibility comes the responsibility to ensure efficient memory utilization. This section digs into the operations that let us manipulate vector sizes and their preallocated memory: resize, reserve, and shrink_to_fit.

When working with vectors, we’ve seen how their capacity (preallocated memory) might differ from their actual size (number of elements). The methods to manage these aspects can significantly affect your programs’ performance and memory footprint.

The power of resize()

Imagine you have std::vector holding five elements. If you suddenly need it to keep eight elements, or perhaps only three, how would you make this adjustment? The resize() function is your answer.

resize...

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