Article ID Journal Published Year Pages File Type
4948200 Neurocomputing 2016 18 Pages PDF
Abstract
In this paper, numerical methods to compute the Karcher means on the n-order rotation group SO(n) are considered. First, after recalling Karcher means as solutions of a kind of minimization problems on SO(n), a super-linearly convergent numerical method, namely conjugate gradient method, has been used to deal with them. By the geometric structure of SO(n), the proposed algorithm is structure preserving. Then, a variety of numerical experiments are presented to demonstrate the performance and efficiency of the proposed algorithm by comparing with a recent structure preserving method.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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