Results 21 to 30 of about 1,136,091 (291)
Local RBF approximation for scattered data fitting with bivariate splines [PDF]
, 2005 In this paper we continue our earlier research [4] aimed at developing effcient methods of local approximation suitable for the first stage of a spline based two-stage scattered data fitting algorithm.
A. Björck +9 more
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Sensors, 2016 This article focuses on the fusion of flaw indications from multi-sensor nondestructive materials testing. Because each testing method makes use of a different physical principle, a multi-method approach has the potential of effectively differentiating ...
René Heideklang, Parisa Shokouhi
doaj +1 more source
Scattered data fitting by direct extension of local polynomials to bivariate splines [PDF]
, 2004 We present a new scattered data fitting method, where local approximating polynomials are directly extended to smooth (C 1 or C 2) splines on a uniform triangulation (the four-directional mesh).
Davydov, O., Zeilfelder, F.
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Repeatability Estimates Of Sloped Scattered Data
Undergraduate Journal of Mathematical Modeling: One + Two, 2009 Repeatability is the variance in data accumulated under fixed conditions. It is important for quality control as it costs both time and money to recalibrate tools and remanufacture machines.
Angelique Waller
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International Journal of Applied Mathematics and Computer Science, 2022 In some applications, there are signals with a piecewise structure to be recovered. In this paper, we propose a piecewise sparse approximation model and a piecewise proximal gradient method (JPGA) which aim to approximate piecewise signals.
Zhong Yijun +3 more
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Results in Applied Mathematics, 2022 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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Interpolation and scattered data fitting on manifolds using projected Powell–Sabin splines [PDF]
, 2008 We present methods for either interpolating data or for fitting scattered data on a two-dimensional smooth manifold. The methods are based on a local bivariate Powell-Sabin interpolation scheme, and make use of a family of charts {(Uξ , ξ)}ξ∈ satisfying ...
Davydov, O., Schumaker, L.L.
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GPU-Accelerated Visualization of Scattered Point Data
IEEE Access, 2013 As data sets continue to grow in size, visualization has become a vitally important tool for extracting meaningful knowledge. Scattered point data, which are unordered sets of point coordinates with associated measured values, arise in many contexts ...
Thomas L. Falch +3 more
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Image reconstruction from scattered Radon data by weighted positive definite kernel functions [PDF]
, 2018 We propose a novel kernel-based method for image reconstruction from scattered Radon data. To this end, we employ generalized Hermite–Birkhoff interpolation by positive definite kernel functions. For radial kernels, however, a straightforward application
De Marchi, S., Iske, A., Santin, G.
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Enabling e-Research in combustion research community [PDF]
, 2006 This paper proposes an application of the Collaborative e-Science Architecture (CeSA) to enable e-Research in combustion research community. A major problem of the community is that data required for constructing modelling might already exist but ...
Dew, P.M. +3 more
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