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.
Author(s): Dietmar Hildenbrand
Edition: 1
Publisher: Chapman and Hall/CRC
Year: 2021
Language: English
Pages: 202
Tags: Geometric Algebra Computing; GAALOP; GAALOPWeb;
Cover
Half Title
Title Page
Copyright Page
Dedication
Contents
List of Figures
List of Tables
Foreword
Preface
CHAPTER 1: Introduction
1.1. GEOMETRIC ALGEBRA
1.2. GEOMETRIC ALGEBRA COMPUTING
1.3. OUTLINE
CHAPTER 2: Geometric Algebras for Engineering
2.1. THE BASICS OF GEOMETRIC ALGEBRA
2.2. CONFORMAL GEOMETRIC ALGEBRA (CGA)
2.2.1. Geometric Objects of Conformal Geometric Algebra
2.2.2. Angles and Distances in 3D
2.2.3. 3D Transformations
2.3. COMPASS RULER ALGEBRA (CRA)
2.3.1. Geometric Objects
2.3.2. Angles and Distances
2.3.3. Transformations
2.4. PROJECTIVE GEOMETRIC ALGEBRA (PGA) WITH GANJA
2.4.1. 2D PGA
2.4.2. 3D PGA
CHAPTER 3: GAALOP
3.1. INSTALLATION
3.2. GAALOPSCRIPT
3.2.1. The Main Notations
3.2.2. Macros and Pragmas
3.2.3. Bisector Example
3.2.4. Line-Sphere Example
CHAPTER 4: GAALOPWeb
4.1. THE WEB INTERFACE
4.2. THE WORKFLOW
4.3. GAALOPWEB VISUALIZATIONS
4.3.1. Visualization of the Bisector Example
4.3.2. Visualization of the Rotation of a Circle
4.3.3. Visualization of the Line-Sphere Example
4.3.4. Visualization of a Sphere of Four Points
4.3.5. Sliders
CHAPTER 5: GAALOPWeb for C/C++
5.1. GAALOPWEB HANDLING
5.2. CODE GENERATION AND RUNTIME PERFORMANCE BASED ON GAALOPWEB
CHAPTER 6: GAALOPWeb for Python
6.1. THE WEB INTERFACE
6.2. THE PYTHON CONNECTOR FOR GAALOPWEB
6.3. CLIFFORD/PYGANJA
6.4. GAALOPWeb INTEGRATION INTO CLIFFORD/PYGANJA
6.5. USING PYTHON TO GENERATE CODE NOT SUPPORTED BY GAALOPWEB
CHAPTER 7: Molecular Distance Application Using GAALOPWeb for Mathematica
7.1. DISTANCE GEOMETRY EXAMPLE
7.2. GAALOPWEB FOR MATHEMATICA
7.2.1. Mathematica Code Generation
7.2.2. The Web-Interface
7.3. COMPUTATIONAL RESULTS
CHAPTER 8: Robot Kinematics Based on GAALOPWeb for MATLAB
8.1. THE MANIPULATOR MODEL
8.2. KINEMATICS OF A SERIAL ROBOT ARM
8.3. MATLAB TOOLBOX IMPLEMENTATION
8.4. THE GAALOP IMPLEMENTATION
8.5. GAALOPWEB FOR MATLAB
8.6. COMPARISON OF RUN-TIME PERFORMANCE
CHAPTER 9: The Power of High-Dimensional Geometric Algebras
9.1. GAALOP DEFINITION
9.2. VISUALIZATION
CHAPTER 10: GAALOPWeb for Conics
10.1. GAALOP DEFINITION
10.1.1. definition.csv
10.1.2. macros.clu
10.2. GAC OBJECTS
10.3. GAC TRANSFORMATIONS
10.4. INTERSECTIONS
CHAPTER 11: Double Conformal Geometric Algebra
11.1. GAALOP DEFINITION OF DCGA
11.2. THE DCGA OBJECTS
11.2.1. Ellipsoid, Toroid and Sphere
11.2.2. Planes and Lines
11.2.3. Cylinders
11.2.4. Cones
11.2.5. Paraboloids
11.2.6. Hyperboloids
11.2.7. Parabolic and Hyperbolic Cylinders
11.2.8. Specific Planes
11.2.9. Cyclides
11.3. THE DCGA TRANSFORMATIONS
11.4. INTERSECTIONS
11.5. REFLECTIONS AND PROJECTIONS
11.6. INVERSIONS
CHAPTER 12: Geometric Algebra for Cubics
12.1. GAALOP DEFINITION
12.2. CUBIC CURVES
CHAPTER 13: GAALOPWeb for GAPP
13.1. THE REFLECTOR EXAMPLE
13.2. THE WEB INTERFACE
13.3. GAPP CODE GENERATION
CHAPTER 14: GAALOPWeb for GAPPCO
14.1. GAPPCO IN GENERAL
14.2. GAPPCO I
14.2.1. GAPPCO I Architecture
14.2.2. The Compilation Process
14.2.3. Configuration Phase
14.2.4. Runtime Phase
14.3. THE WEB INTERFACE
CHAPTER 15: GAPPCO II
15.1. THE PRINCIPLE
15.2. EXAMPLE
15.3. IMPLEMENTATION ISSUES
CHAPTER 16: Introduction to Quantum Computing
16.1. COMPARING CLASSIC COMPUTERS WITH QUANTUM COMPUTERS
16.2. DESCRIPTION OF QUANTUM BITS
16.3. QUANTUM REGISTER
16.4. COMPUTING STEPS IN QUANTUM COMPUTING
16.4.1. The NOT-Operation
16.4.2. The Hadamard Transform
16.4.3. The CNOT-Operation
CHAPTER 17: GAALOPWeb as a Qubit Calculator
17.1. QUBIT ALGEBRA QBA
17.2. GAALOPWEB FOR QUBITS
17.3. THE NOT-OPERATION ON A QUBIT
17.4. THE 2-QUBIT ALGEBRA QBA2
CHAPTER 18: Appendix
18.1. APPENDIX A: PYTHON CODE FOR THE GENERATION OF OPTIMIZED MATHEMATICA CODE FROM GAALOP
Bibliography
Index
