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
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;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6161280