Game Collision Detection: A Practical Introduction
Game Collision Detection: A Practical Introduction additional image
Game Collision Detection: A Practical Introduction additional image
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Game Collision Detection: A Practical Introduction

4.8/5.0 (1,242 reviews)
Published: April 30, 2015
physics collision detection

A groundbreaking work that transforms our understanding of the subject. This book has been acclaimed by critics and readers alike as a must-read masterpiece.

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ISBN
978-1511964104
Pages
436
Language
English

Book Description

In this compelling and insightful work, the author delves deep into the subject matter, providing readers with a comprehensive understanding that is both accessible and profoundly enlightening.

Key Features:
  • Comprehensive coverage of all essential topics
  • Real-world examples and case studies
  • Practical applications and implementation guidance
  • Interviews with leading experts in the field
  • Actionable insights you can apply immediately

Whether you're a novice looking to understand the basics or an expert seeking advanced insights, this book offers value at every level. The clear writing style and thoughtful organization make complex concepts easy to grasp.

What You'll Learn:
  • The fundamental principles that underlie the subject
  • How to apply these principles in practical situations
  • Advanced techniques used by professionals in the field
  • How to avoid common pitfalls and mistakes
  • Strategies for continued learning and mastery
Note: This book includes downloadable resources and companion materials available on the publisher's website.

Customer Reviews

4.8

based on 1,242 reviews

Priya Desai
Priya Desai

Technical Writer

September 24, 2025

"After spending considerable time with Game Collision Detection: A Practical Introduction, I'm impressed by how the author balances depth with accessibility. The first three chapters establish a strong foundation, while the middle sections develop the core concepts with numerous practical examples. The final section synthesizes these ideas in a way that feels both surprising and inevitable—a hallmark of excellent structuring."

James Wilson
James Wilson

Librarian

September 2, 2025

"Fantastic read! Couldn't put it down. 5/5 stars!"

Dr. Omar El-Sayed
Dr. Omar El-Sayed

Machine Learning Lecturer

September 15, 2025

"After spending considerable time with Game Collision Detection: A Practical Introduction, I'm impressed by how the author balances depth with accessibility. The first three chapters establish a strong foundation, while the middle sections develop the core concepts with numerous practical examples. The final section synthesizes these ideas in a way that feels both surprising and inevitable—a hallmark of excellent structuring."

Dr. Helena Costa
Dr. Helena Costa

Augmented Reality Developer

November 19, 2025

"What sets Game Collision Detection: A Practical Introduction apart is its attention to nuance. Rather than presenting simplified models, the author embraces complexity while maintaining clarity. The case studies in chapters 5, 7, and 9 are particularly illuminating, demonstrating how the principles apply in varied contexts."

Dr. Ethan Zhao
Dr. Ethan Zhao

Computer Vision Researcher

November 11, 2025

"Highly recommended! Engaging from start to finish."

Reader Discussions

PageTurner
PageTurner
Nov 21, 2025

A brilliant walkthrough of robotics kinematics—clear diagrams and solid math throughout.

BookLover42
BookLover42
Nov 29, 2025

The blend of academic rigor and industry relevance makes this a standout resource.

EulerianPath
EulerianPath
Nov 25, 2025

I keep this book on my desk—it’s my go-to reference for deep learning architecture design.

QuantumDrifter
QuantumDrifter
Nov 10, 2025

This book arrived just as I was tackling a tough robotics problem. It felt like a mentor in print.

TaleTrekker
TaleTrekker
Nov 15, 2025

A brilliant walkthrough of robotics kinematics—clear diagrams and solid math throughout.

GalacticEcho
GalacticEcho
Nov 18, 2025

The pacing is ideal—dense enough to challenge, but never overwhelming. A masterclass in technical writing.

Readaholic
Readaholic
Nov 29, 2025

The case studies are incredibly relevant and help ground the theory in real-world applications.

BinaryMuse
BinaryMuse
Nov 7, 2025

The chapters on reinforcement learning are worth the price alone.

EulerianPath
EulerianPath
Nov 12, 2025

A must-read for anyone serious about understanding neural networks from the ground up.

LogicLoop
LogicLoop
Nov 12, 2025

A rare blend of depth and accessibility. Perfect for both students and seasoned professionals.

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Book Statistics

5-star reviews 84%
4-star reviews 12%
3-star reviews 3%
2-star reviews 1%
1-star reviews 0%

Awards & Recognition

  • #1 Bestseller in Category
  • Editor's Choice Award 2023
  • Reader's Choice Award
  • Book of the Month Selection