Between moving least-squares and moving least-\(\ell_1\)

DOI10.1007/s10543-014-0522-0zbMath1328.65059OpenAlexW2002392833MaRDI QIDQ747639

D. Kharzeev

Publication date: 19 October 2015

Published in: BIT (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10543-014-0522-0

zbMATH Keywords

outliersiterative algorithmmultivariate approximationscattered datamoving least-squaresmoving least 1-norm

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Numerical smoothing, curve fitting (65D10) Algorithms for approximation of functions (65D15)

Related Items (4)

An outlier detection and recovery method based on moving least squares quasi-interpolation scheme and \(\text{ł}_0\)-minimization problem ⋮ A modified approximate method based on Gaussian radial basis functions ⋮ A modified moving least-squares suitable for scattered data fitting with outliers ⋮ Manifold reconstruction and denoising from scattered data in high dimension

Cites Work

• Stable moving least-squares
• Robust regression: Asymptotics, conjectures and Monte Carlo
• Surfaces Generated by Moving Least Squares Methods
• The Minimum Sum of Absolute Errors Regression: A State of the Art Survey
• The approximation power of moving least-squares
• Least absolute value regression: recent contributions
• Scattered Data Approximation

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