QuickStart Guide to Game Physics
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QuickStart Guide to Game Physics

4.8/5.0 (1,242 reviews)
Published: May 14, 2025
Game Physics Collision Detection Rigid Body Simulation Gravity Motion Game Development Physics Engines Realism Simulation Unity Unreal Engine

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
9798264282454
Pages
346
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

Dr. Aisha Rahman
Dr. Aisha Rahman

Robotics Specialist

August 6, 2025

"QuickStart Guide to Game Physics represents a significant contribution to the field. The author's meticulous research is evident throughout, with extensive references to both classical and contemporary works. The theoretical framework provides a robust foundation for the arguments presented, making this essential reading for scholars."

Dr. Aisha Rahman
Dr. Aisha Rahman

Robotics Specialist

August 15, 2025

"In this meticulously crafted volume, the author demonstrates a command of the subject matter that is both broad and deep. The interdisciplinary approach bridges gaps between traditional scholarly boundaries, offering fresh insights that will undoubtedly influence future research directions."

Priya Desai
Priya Desai

Technical Writer

July 22, 2025

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

Dr. Lucia Romano
Dr. Lucia Romano

Bioinformatics Specialist

September 14, 2025

"In this meticulously crafted volume, the author demonstrates a command of the subject matter that is both broad and deep. The interdisciplinary approach bridges gaps between traditional scholarly boundaries, offering fresh insights that will undoubtedly influence future research directions."

Dr. Helena Costa
Dr. Helena Costa

Augmented Reality Developer

July 29, 2025

"This book came into my life at just the right moment. The themes in QuickStart Guide to Game Physics resonated deeply with me, and I found myself reflecting on my own experiences. The author has a beautiful way with words that makes complex ideas accessible."

Reader Discussions

NebulaNomad
NebulaNomad
Sep 18, 2025

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

EulerianPath
EulerianPath
Oct 2, 2025

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

FractalThinker
FractalThinker
Oct 12, 2025

The chapters on reinforcement learning are worth the price alone.

EulerianPath
EulerianPath
Oct 12, 2025

A goldmine for anyone working in computer vision—concise, practical, and well-researched.

ChronoNavigator
ChronoNavigator
Oct 11, 2025

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

GoldenRatioed
GoldenRatioed
Sep 28, 2025

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

StellarSynth
StellarSynth
Oct 1, 2025

This book bridges the gap between theory and implementation better than any I've read.

LogicLoop
LogicLoop
Oct 15, 2025

Every chapter ends with exercises that actually reinforce learning—rare and valuable.

WarpVector
WarpVector
Oct 9, 2025

This book completely reshaped how I approach algorithm design. The author's clarity is unmatched.

EulerianPath
EulerianPath
Oct 14, 2025

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

MatrixMapper
MatrixMapper
Oct 11, 2025

This book helped me rethink how I design systems for scalability and fault tolerance.

Join the Discussion

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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