Research Catalog

Geometric algebra with applications in engineering

Title
Geometric algebra with applications in engineering / Christian Perwass.
Author
Perwass, Christian.
Publication
Berlin : Springer, ©2009.

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StatusFormatAccessCall NumberItem Location
TextUse in library QA199 .P379 2009Off-site

Details

Description
xiv, 385 pages : illustrations (some color); 24 cm
Summary
"This book examines all aspects essential for a successful application of geometric algebra: the theoretical foundations, the representation of geometric constraints, and the numerical estimation from uncertain data. Formally, the book consists of two parts: theoretical foundations and applications. The first part includes chapters on random variables in geometric algebra, linear estimation methods that incorporate the uncertainty of algebraic elements, and the representation of geometry in Euclidean, projective, conformal and conic space. The second part is dedicated to applications of geometric algebra, which include uncertain geometry and transformations, a generalized camera model, and pose estimation." "Graduate students, scientists, researchers and practitioners will benefit from this book. The examples given in the text are mostly recent research results, so practitioners can see how to apply geometric algebra to real tasks, while researchers note starting points for future investigations. Students will profit from the detailed introduction to geometric algebra, while the text is supported by the author's visualization software, CLUCalc, freely available online, and a website that includes downloadable exercises, slides and tutorials."--Jacket.
Series Statement
Geometry and computing ; 4
Uniform Title
Geometry and computing ; 4.
Subject
  • Clifford algebras
  • Geometrische Algebra
Bibliography (note)
  • Includes bibliographical references (p. 369-379) and index.
Contents
Introduction -- Learning geometric algebra with CLUCalc -- Algebra -- Geometries -- Numerics -- Uncertain geometric entities and operators -- The inversion camera model -- Monocular pose estimation -- Versor functions -- Random-variable space.
ISBN
  • 9783540890676
  • 354089067X
  • 9783540890683
  • 3540890688
LCCN
2008939438
OCLC
  • ocn262720659
  • 262720659
  • SCSB-9178507
Owning Institutions
Princeton University Library