An Efficient Method for Fitting Large Data Sets Using T-Splines
From MaRDI portal
Publication:5404625
DOI10.1137/120888569zbMath1285.65008OpenAlexW2072328818MaRDI QIDQ5404625
Publication date: 28 March 2014
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/0375d4de40a1412b505cccdc4044ea2b195ae024
Numerical computation using splines (65D07) Numerical smoothing, curve fitting (65D10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)
Related Items (13)
Constructing B-spline solids from tetrahedral meshes for isogeometric analysis ⋮ Progressive iterative approximation for regularized least square bivariate B-spline surface fitting ⋮ A fast T-spline fitting method based on efficient region segmentation ⋮ Generalized and optimal sequence of weights on a progressive‐iterative approximation method with memory for least square fitting ⋮ The convergence of least-squares progressive iterative approximation for singular least-squares fitting system ⋮ On a progressive and iterative approximation method with memory for least square fitting ⋮ Multiscale persistent topological descriptor for porous structure retrieval ⋮ \(C^2\) interpolation T-splines ⋮ A composite iterative procedure with fast convergence rate for the progressive-iteration approximation of curves ⋮ LSPIA, (stochastic) gradient descent, and parameter correction ⋮ Quasi-interpolation for analysis-suitable T-splines ⋮ Convergence analysis on a second order algorithm for orthogonal projection onto curves ⋮ Hyperpower least squares progressive iterative approximation
This page was built for publication: An Efficient Method for Fitting Large Data Sets Using T-Splines
