The Power of Geometric Algebra Computing: For Engineering and Quantum Computing
- Length: 202 pages
- Edition: 1
- Language: English
- Publisher: Chapman and Hall/CRC
- Publication Date: 2021-09-30
- ISBN-10: 0367684586
- ISBN-13: 9780367684587
- Sales Rank: #0 (See Top 100 Books)
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.
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
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