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Practical C++ Game Programming with Data Structures and Algorithms

You're reading from   Practical C++ Game Programming with Data Structures and Algorithms Write high-performance code and solve game development challenges with expert-led C++ solutions

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Product type Paperback
Published in Jun 2025
Publisher Packt
ISBN-13 9781835889862
Length 408 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Zhenyu George Li Zhenyu George Li
Author Profile Icon Zhenyu George Li
Zhenyu George Li
Charles Shih-I Yeh Charles Shih-I Yeh
Author Profile Icon Charles Shih-I Yeh
Charles Shih-I Yeh
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Data Structure and Algorithm Fundamentals
2. Gearing Up: C++ for Game Development FREE CHAPTER 3. Data Structures in Action: Building Game Functionality 4. Algorithms Commonly Utilized in Game Development 5. Part 2: Graphics Algorithms in Practice
6. 2D Rendering and Effects 7. The Camera and Camera Controls 8. 3D Graphics Rendering 9. Rendering a 3D Game World 10. Part 3: Breathing Life into Your Games
11. Animating Your Characters 12. Building AI Opponents 13. Machine Learning Algorithms for Game AI 14. Part 4: Reflecting and Moving Forward
15. Continuing Your Learning Journey 16. Other Books You May Enjoy
17. Index

Understanding the code samples in this book

The sample code snippets provided throughout this book are closely related to the code in the Knight demo game projects available in the book’s GitHub repository, though there may be slight variations in structure or implementation. These differences arise because the actual implementation code must account for several key factors:

  • Supporting features: The demo game code is designed to accommodate multiple examples and use cases.
  • Compatibility: The implementation considers various scenarios and requirements to ensure flexibility.
  • Error handling: Additional conditional checks are included to prevent errors and ensure stability.

In contrast, the code snippets within the book focus primarily on explaining the core algorithms and methodologies relevant to each topic. To enhance clarity, these examples are presented in a simplified form, minimizing dependencies on unrelated code. This approach ensures that readers can grasp the key concepts without unnecessary distractions, allowing for a deeper understanding of the introduced techniques.

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