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The Power of Geometric Algebra Computing: For Engineering and Quantum Computing

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The Power of Geometric Algebra Computing: For Engineering and Quantum Computing Other -

by Dietmar Hildenbrand

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Taylor & Francis Group , . Other. New.
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Details

  • Title The Power of Geometric Algebra Computing: For Engineering and Quantum Computing
  • Author Dietmar Hildenbrand
  • Binding Other
  • Condition New
  • Pages 178
  • Volumes 1
  • Language ENG
  • Publisher Taylor & Francis Group
  • Publication date
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 6396465823
  • ISBN 9780367687755 / 0367687755
  • Weight 0.61 lbs (0.28 kg)
  • Dimensions 9 x 6 x 0.43 in (22.86 x 15.24 x 1.09 cm)
  • Category Computers - Other Applications
  • Library of Congress subjects Engineering - Data processing, Clifford algebras
  • Library of Congress Catalogue Number 2021019347
  • Dewey Decimal Code 516.350
  • Quantity available 4

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From the publisher

Geometric Algebra is a very powerful mathematical system for an easy and intuitive treatment of geometry, but the community working with it is still very small. The main goal of this book is to close this gap from a computing perspective in presenting the power of Geometric Algebra Computing for engineering applications and quantum computing.

The Power of Geometric Algebra Computing is based on GAALOPWeb, a new user-friendly, web-based tool for the generation of optimized code for different programming languages as well as for the visualization of Geometric Algebra algorithms for a wide range of engineering applications.

Key Features:

  • Introduces a new web-based optimizer for Geometric Algebra algorithms

  • Supports many programming languages as well as hardware

  • Covers the advantages of high-dimensional algebras

  • Includes geometrically intuitive support of quantum computing

This book includes applications from the fields of computer graphics, robotics and quantum computing and will help students, engineers and researchers interested in really computing with Geometric Algebra.

About the author

Dietmar Hildenbrand is a lecturer in Geometric Algebra at TU Darmstadt.

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