A trust region algorithm for parametric curve and surface fitting
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Publication:1815878
DOI10.1016/0377-0427(96)00039-8zbMath0861.65010OpenAlexW2002934147WikidataQ126759490 ScholiaQ126759490MaRDI QIDQ1815878
Publication date: 19 November 1996
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0377-0427(96)00039-8
hyperboloidcurve fittingtrust region algorithmscattered data fittingsurface fittingparameter fitting
Related Items (4)
A class of methods for fitting a curve or surface to data by minimizing the sum of squares of orthogonal distances. ⋮ Multivariate scattered data fitting ⋮ Incomplete orthogonal distance regression ⋮ Fitting parametric curves and surfaces by \(l_\infty\) distance regression
Uses Software
Cites Work
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- Convergence properties of trust region methods for linear and convex constraints
- Parameter optimization in approximating curves and surfaces to measurement data
- Constrained B-spline curve and surface fitting
- A trust region method for implicit orthogonal distance regression
- Parametric approximation of data using ODR splines
- Trust region algorithms for the nonlinear least distance problem
- A Stable and Efficient Algorithm for Nonlinear Orthogonal Distance Regression
- Global Convergence of a Class of Trust Region Algorithms for Optimization with Simple Bounds
- An Algorithm for Least-Squares Estimation of Nonlinear Parameters
- Algorithm 676: ODRPACK: software for weighted orthogonal distance regression
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