Results 11 to 20 of about 1,136,335 (337)
Approximate Approximations from scattered data
Journal of Approximation Theory, 2005 The aim of this paper is to extend the approximate quasi-interpolation on a uniform grid by dilated shifts of a smooth and rapidly decaying function on a uniform grid to scattered data quasi-interpolation.
Lanzara, F., Maz'ya, V., Schmidt, G.
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Scattered manifold-valued data approximation [PDF]
Numerische Mathematik, 2016 ISSN:0029 ...
Grohs, Philipp +2 more
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Samplets: Construction and scattered data compression
Journal of Computational Physics, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Helmut Harbrecht, Michael Multerer
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Algorithm for Feature Information Extraction from Scattered Point Cloud Data [PDF]
Jisuanji gongcheng, 2017 To solve the problem of low efficiency and low noise sensitivity in the process of scattered point cloud feature extraction,this paper proposes a double threshold point cloud feature information extraction algorithm.The Principal Component Analysis(PCA ...
SHI Haoliang,WU Lushen,YU Zheqi,WAN Chao
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Determination of the density of scattered spherical data for use in star catalog uniformity [PDF]
فصلنامه علوم و فناوری فضایی, 2021 In this paper, a new algorithm for determining the density of scattered data at the surface of the sphere is presented and then the proposed algorithm along with Geodesic Weighted K-Means clustering and Deluany triangulation are used to make uniform star
Farshad Somayehee +2 more
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Fitting and selecting Scattering Data [PDF]
Proceedings of XVII International Conference on Hadron Spectroscopy and Structure — PoS(Hadron2017), 2018 7 pages, 5 figures, talk presented by ERA at XVII International Conference on Hadron Spectroscopy and Structure - Hadron2017, Salamanca, 25-29 September ...
Arriola, Enrique Ruiz +2 more
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Understanding deep inelastic scattering data [PDF]
Physics Letters B, 1980 Abstract The new experimental results on v ¯ p deep inelastic scattering show that we possess a good numerical understanding of this important class of phenomena. We argue that among the different descriptions of deep inelastic scattering, the MQM clearly qualifies as the most predective, economical and realistic approach to this ...
CASTORINA, Paolo +2 more
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Processing macromolecular diffuse scattering data
, 2023 AbstractDiffuse scattering is a powerful technique to study disorder and dynamics of macromolecules at atomic resolution. Although diffuse scattering is always present in diffraction images from macromolecular crystals, the signal is weak compared with Bragg peaks and background, making it a challenge to visualize and measure accurately. Recently, this
Steve P. Meisburger, Nozomi Ando
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Kernel-based Image Reconstruction from Scattered Radon Data [PDF]
, 2016 Computerized tomography requires suitable numerical methods for the approximation of a bivariate function f from a finite set of discrete Radon data, each of whose data samples represents one line integral of f .
DE MARCHI, Stefano +2 more
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