Dual-Quaternions and Computer Graphics
Dual-Quaternions and Computer Graphics additional image
Dual-Quaternions and Computer Graphics additional image
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Dual-Quaternions and Computer Graphics

4.8/5.0 (1,242 reviews)
Published: January 27, 2024
graphics compute

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
979-8877586604
Pages
420
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. Rajiv Banerjee
Dr. Rajiv Banerjee

Systems Architect

July 9, 2025

"Dual-Quaternions and Computer Graphics 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."

Priya Desai
Priya Desai

Technical Writer

July 7, 2025

"Highly recommended! Engaging from start to finish."

Dr. Ethan Zhao
Dr. Ethan Zhao

Computer Vision Researcher

June 29, 2025

"What sets Dual-Quaternions and Computer Graphics 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. Aisha Rahman
Dr. Aisha Rahman

Robotics Specialist

July 5, 2025

"Dual-Quaternions and Computer Graphics 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."

Sarah Johnson
Sarah Johnson

Avid Reader

June 30, 2025

"After spending considerable time with Dual-Quaternions and Computer Graphics, 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."

Reader Discussions

PiCurious
PiCurious
Aug 7, 2025

The author’s insights into ethical AI development are both timely and thought-provoking.

ChronoNavigator
ChronoNavigator
Aug 24, 2025

This is the kind of book that makes you want to open your IDE and start experimenting.

GoldenRatioed
GoldenRatioed
Aug 21, 2025

The chapters on reinforcement learning are worth the price alone.

ChronoNavigator
ChronoNavigator
Sep 3, 2025

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

EulerianPath
EulerianPath
Aug 10, 2025

The way the author connects theoretical foundations with practical applications is brilliant.

PiCurious
PiCurious
Aug 28, 2025

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

BookLover42
BookLover42
Sep 1, 2025

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

GoldenRatioed
GoldenRatioed
Aug 30, 2025

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

BookLover42
BookLover42
Aug 24, 2025

Perfect for brushing up on foundational concepts before tackling advanced AI models.

GoldenRatioed
GoldenRatioed
Sep 3, 2025

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

PageTurner
PageTurner
Aug 27, 2025

I finally understand backpropagation thanks to this book’s intuitive examples.

StellarSynth
StellarSynth
Aug 30, 2025

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

BookLover42
BookLover42
Sep 4, 2025

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

SetTheorySavvy
SetTheorySavvy
Aug 21, 2025

This book should be required reading for anyone entering the field of quantum computing.

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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