DocumentCode :
3442739
Title :
A gradient method for geodesic data fitting on some symmetric Riemannian manifolds
Author :
Rentmeesters, Quentin
Author_Institution :
Dept. of Math. Eng., Univ. Catholique de Louvain, Louvain-la-Neuve, Belgium
fYear :
2011
fDate :
12-15 Dec. 2011
Firstpage :
7141
Lastpage :
7146
Abstract :
In this paper, a method to compute the best geodesic approximation of a set of points that belong to a Riemannian manifold is proposed. This method is based on a gradient descent technique on the tangent bundle of the manifold. An expression for the gradient is derived using the theory of Jacobi fields and an efficient numerical technique is proposed to compute these Jacobi fields. The presented approach is valid on any locally symmetric space, and the sphere S2, the set of symmetric positive definite matrices Pn+, the special orthogonal group SO(3) and the Grassmann manifold Grass(n; p) are considered.
Keywords :
Jacobian matrices; approximation theory; computational complexity; curve fitting; differential geometry; gradient methods; group theory; Grassmann manifold; Jacobi field theory; geodesic approximation; geodesic data fitting; gradient descent technique; gradient method; locally symmetric spaces; numerical technique; orthogonal group; symmetric Riemannian manifolds; symmetric positive definite matrices; Approximation methods; Data models; Jacobian matrices; Manifolds; Measurement; Symmetric matrices; Vectors; Geodesics; Jacobi fields; Riemannian manifolds; curvature; tangent bundle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
ISSN :
0743-1546
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2011.6161280
Filename :
6161280
Link To Document :
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