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arXiv 1306.1660math.RA
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Clifford几何代数导论

Introduction to Clifford's Geometric Algebra

Eckhard Hitzer

摘要:

几何代数是由W.K.克利福德130多年前。它统一了物理学的所有分支,在机器人、信号处理、光线跟踪、虚拟现实、计算机视觉、向量场处理、跟踪、地理信息系统和神经计算等领域都有着丰富的应用。本教程解释了几何代数的基础知识,并提供了平面、三维空间、时空和流行的共形模型的具体示例。几何代数是在Clifford群(也称为Versor或Lipschitz群)的一般框架中表示几何变换的理想代数。几何(基于代数的)微积分允许,例如,优化Clifford神经元的学习算法等。关键词:超复代数,超复分析,几何,科学,工程。

英文摘要:

Geometric algebra was initiated by W.K. Clifford over 130 years ago. It unifies all branches of physics, and has found rich applications in robotics, signal processing, ray tracing, virtual reality, computer vision, vector field processing, tracking, geographic information systems and neural computing. This tutorial explains the basics of geometric algebra, with concrete examples of the plane, of 3D space, of spacetime, and the popular conformal model. Geometric algebras are ideal to represent geometric transformations in the general framework of Clifford groups (also called versor or Lipschitz groups). Geometric (algebra based) calculus allows, e.g., to optimize learning algorithms of Clifford neurons, etc. Keywords: Hypercomplex algebra, hypercomplex analysis, geometry, science, engineering.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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