Higher-order smoothing splines versus least squares problems on Riemannian manifolds

From MaRDI portal
Publication:619262

DOI10.1007/s10883-010-9080-1zbMath1203.65028OpenAlexW2015807295WikidataQ115383710 ScholiaQ115383710MaRDI QIDQ619262

Krzysztof A. Krakowski, Luís Machado, Fátima Silva Leite

Publication date: 24 January 2011

Published in: Journal of Dynamical and Control Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10883-010-9080-1




Related Items

Second-order constrained variational problems on Lie algebroids: applications to optimal controlGeodesic regression on spheres from a numerical optimization viewpointLagrangian Lie subalgebroids generating dynamics for second-order mechanical systems on Lie algebroidsSecond-order variational problems on Lie groupoids and optimal control applicationsA numerical optimization approach to generate smoothing spherical splinesHigher-order variational calculus on Lie algebroidsHigh-order splines on Riemannian manifoldsLocal minimizers for variational obstacle avoidance on Riemannian manifoldsA gradient-descent method for curve fitting on Riemannian manifoldsGeometric mean and geodesic regression on GrassmanniansInvariant higher-order variational problemsGeometric integrators for higher-order variational systems and their application to optimal controlBarycentric subspace analysis on manifoldsExistence of variationally defined curves with higher order elliptic LagrangiansInvariant higher-order variational problems. IIMultivariate tensor-based morphometry with a right-invariant Riemannian distance on \(\mathrm{GL}^+(n)\)Intrinsic polynomials for regression on Riemannian manifoldsRegularity properties of fiber derivatives associated with higher-order mechanical systemsRiemannian cubics close to geodesics at the boundariesUnnamed ItemBalanced Truncation for Parametric Linear Systems Using Interpolation of Gramians: A Comparison of Algebraic and Geometric ApproachesDynamic interpolation for obstacle avoidance on Riemannian manifoldsCollision Avoidance of Multiagent Systems on Riemannian Manifolds



Cites Work