Title :
A pseudo-Riemannian-gradient approach to the least-squares problem on the real symplectic group
Author_Institution :
Dipartimento di Ingegneria Biomedica, Elettronica e Telecomunicazioni (DiBET), Facoltá di Ingegneria, Universitá Politecnica delle Marche, Via Brecce Bianche, Ancona I-60131, Italy
Abstract :
The present paper discusses the problem of geodesic least-squares over the real symplectic group of matrices Sp(2n,∝). As the space Sp(2n,∝) is a non-compact Lie group, it is convenient to endow it with a pseudo-Riemannian geometry instead of a Riemannian one. Indeed, a pseudo-Riemannian metric allows the computation of geodesic arcs and geodesic distances in closed form.
Keywords :
Closed-form solution; Differential equations; Geometry; Geophysics computing; Least squares approximation; Nonlinear equations; Optimization methods; Quantum computing; Telecommunications; Uniform resource locators; Geodesic stepping; Least-squares; Pseudo-Riemannian geometry; Real symplectic group;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX, USA
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495296