Home  /  Entropy  /  Vol: 19 Núm: 12 Par: Decembe (2017)  /  Article
ARTICLE
TITLE

A Geodesic-Based Riemannian Gradient Approach to Averaging on the Lorentz Group

SUMMARY

In this paper, we propose an efficient algorithm to solve the averaging problem on the Lorentz group O ( n , k ) . Firstly, we introduce the geometric structures of O ( n , k ) endowed with a Riemannian metric where geodesic could be written in closed form. Then, the algorithm is presented based on the Riemannian-steepest-descent approach. Finally, we compare the above algorithm with the Euclidean gradient algorithm and the extended Hamiltonian algorithm. Numerical experiments show that the geodesic-based Riemannian-steepest-descent algorithm performs the best in terms of the convergence rate.

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