Results 11 to 20 of about 90,750 (294)
A new stable basis for radial basis function interpolation
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DE MARCHI, STEFANO, SANTIN, GABRIELE
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Some efficient radial basis functions (RBFs) have a free parameter called the shape parameter that controls the shape of approximating function. This parameter is mainly selected by trial and error related to the problem.
Shabnam Sadat Seyed Ghalichi +2 more
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On Point Spread Function modelling: towards optimal interpolation [PDF]
Point Spread Function (PSF) modeling is a central part of any astronomy data analysis relying on measuring the shapes of objects. It is especially crucial for weak gravitational lensing, in order to beat down systematics and allow one to reach the full ...
Adam Amara +25 more
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Realistic leaf models are significant for numerous applications in the plant sciences, for instance, modelling pesticide droplet movement on the leaf surface.
Moa’ath N. Oqielat
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Soil pH is considered as a core indicator for nutrient bioavailability. Prevailing alkaline pH due to calcareousness in Pakistan is considered as one of the limiting factor for nutrient availability to plants.
Humair Ahmed +3 more
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Limits of radial basis function interpolants
We solve some open problems posed by Fornberg et al. in [6], [9] and [12], related to radial basis functions with parameters. They concern the limits of interpolants using these radial basis functions when the aforementioned parameters tend to zero--which makes them "increasingly flat" in a term coined by Fornberg.
Buhmann, Martin D., Dinew, Sławomir
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Numerical Solution of Mixed Volterra – Fredholm Integral Equation Using the Collocation Method
Volterra – Fredholm integral equations (VFIEs) have a massive interest from researchers recently. The current study suggests a collocation method for the mixed Volterra - Fredholm integral equations (MVFIEs)."A point interpolation collocation method is ...
Nahdh S. M. Al-Saif, Ameen Sh. Ameen
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Interpolation by periodic radial basis functions
It is the aim of the paper to consider interpolation on a set of nodes \(y_ i\) on the unit circle \(S^ 1\) by radial basis functions of the form \(f(d(x,y_ j))\), where \(d\) denotes the geodesic distance on \(S^ 1\). For this purpose it is natural to investigate the behavior of the interpolation matrix \(A\) with entries \(A_{i,j}=f(d(y_ i,y_ j ...
Light, W.A, Cheney, E.W
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Comparative investigation of parallel spatial interpolation algorithms for building large-scale digital elevation models [PDF]
The building of large-scale Digital Elevation Models (DEMs) using various interpolation algorithms is one of the key issues in geographic information science.
Jingzhi Tu +4 more
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Out-of-sample generalizations for supervised manifold learning for classification [PDF]
Supervised manifold learning methods for data classification map data samples residing in a high-dimensional ambient space to a lower-dimensional domain in a structure-preserving way, while enhancing the separation between different classes in the ...
Guillemot, Christine, Vural, Elif
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