Results 251 to 260 of about 138,998 (299)
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Quantum radial basis function method for scattered data interpolation
Quantum Information Processing, 2023Lingxia Cui, Zongmin Wu, Hua Xiang
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Multilevel interpolation of scattered data using ${\mathcal{H}}$-matrices
Numerical Algorithms, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Le Borne, Sabine, Wende, Michael
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Interpolation of scattered data on closed surfaces
Computer Aided Geometric Design, 1990The aim of this work is to present techniques and algorithms for the construction and visualization of a function defined over a closed surface domain which depends on a discrete sample of measurements at arbitrary locations on the domain surface. The interpolating function is constructed by first finding a one-to-one correspondence between the closed ...
Foley, Thomas A. +4 more
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Scattered data interpolation: Strictly positive definite radial basis/cardinal functions
Journal of Computational and Applied Mathematics, 2021S. Kazem, Ali Hatam
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Convexity preserving scattered data interpolation using Powell–Sabin elements
Computer Aided Geometric Design, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carnicer, J. M. +2 more
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Generalized Strang?Fix condition for scattered data quasi-interpolation
Advances in Computational Mathematics, 2005In the approximation theory of shift-invariant spaces, the so-called Strang-Fix conditions are very important. They are conditions under which approximations (especially quasi-interpolation) can reproduce polynomials of certain total degree. In this article, quasi-interpolation is studied for an approximation with scattered data rather than equally ...
Wu, Zong Min, Liu, Jian Ping
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Samplets: Wavelet concepts for scattered data
arXiv.orgThis chapter is dedicated to recent developments in the field of wavelet analysis for scattered data. We introduce the concept of samplets, which are signed measures of wavelet type and may be defined on sets of arbitrarily distributed data sites in ...
H. Harbrecht, Michael D. Multerer
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Stability results for scattered‐data interpolation on Euclidean spheres
Advances in Computational Mathematics, 1998Let \(S^m\) be the unit sphere in \(\mathbb{R}^{m+1}\). A spherical-basis function approximant is a linear combination of the values of a given mapping \(\varphi :[0, \pi ] \longrightarrow\mathbb{R}\), where the arguments are geodesic distances in \(S^m\).
Narcowich, F. J. +2 more
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Multiscale scattered data analysis in samplet coordinates
SIAM Journal on Scientific ComputingWe study multiscale scattered data interpolation schemes for globally supported radial basis functions with focus on the Mat\'ern class. The multiscale approximation is constructed through a sequence of residual corrections, where radial basis functions ...
Sara Avesani +3 more
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Basis Functions for Scattered Data Quasi-Interpolation
2015Given scattered data of a smooth function in \({I\!R}^d\), we consider quasi-interpolation operators for approximating the function. In order to use these operators for the derivation of useful schemes for PDE solvers, we would like the quasi-interpolation operators to be of compact support and of high approximation power.
Nira Gruberger, David Levin
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