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机构地区:[1]Department of Mathematics,University of Sousse,Tunisia [2]LIMOS-CNRS,University of Clermont Auvergne,France
出 处:《Journal of Computational Mathematics》2024年第6期1554-1578,共25页计算数学(英文)
基 金:funded by the CNRS PRI.
摘 要:We propose a new method for smoothly interpolating a given set of data points on Grassmann and Stiefel manifolds using a generalization of the De Casteljau algorithm.To that end,we reduce interpolation problem to the classical Euclidean setting,allowing us to directly leverage the extensive toolbox of spline interpolation.The interpolated curve enjoy a number of nice properties:The solution exists and is optimal in many common situations.For applications,the structures with respect to chosen Riemannian metrics are detailed resulting in additional computational advantages.
关 键 词:OPTIMIZATION B´ezier spline Curve fitting Grassmann manifolds Stiefel manifolds Canonical metrics
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