Results 221 to 230 of about 8,448 (266)
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2022
Quasi-interpolation is one of the most useful and often applied methods for the approximation of functions and data in mathematics and applications. Its advantages are manifold: quasi-interpolants are able to approximate in any number of dimensions, they are efficient and relatively easy to formulate for scattered and meshed nodes and for any number of
Martin Buhmann, Janin Jäger
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Quasi-interpolation is one of the most useful and often applied methods for the approximation of functions and data in mathematics and applications. Its advantages are manifold: quasi-interpolants are able to approximate in any number of dimensions, they are efficient and relatively easy to formulate for scattered and meshed nodes and for any number of
Martin Buhmann, Janin Jäger
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Quasi Interpolation With Voronoi Splines
IEEE Transactions on Visualization and Computer Graphics, 2011We present a quasi interpolation framework that attains the optimal approximation-order of Voronoi splines for reconstruction of volumetric data sampled on general lattices. The quasi interpolation framework of Voronoi splines provides an unbiased reconstruction method across various lattices.
Mahsa Mirzargar, Alireza Entezari
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Stochastic Quasi-Interpolation with Bernstein Polynomials
Mediterranean Journal of Mathematics, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xingping Sun, Xuan Zhou
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Generator, multiquadric generator, quasi-interpolation and multiquadric quasi-interpolation
Applied Mathematics-A Journal of Chinese Universities, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wu, Zongmin, Ma, Limin
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2021
The quasi-interpolation operators introduced in Chapter 22 are \(L^1\)-stable, are projections and have optimal (local) approximation properties. However, they do not commute with the usual differential operators (gradient, curl, and divergence), which makes them difficult to use to approximate simultaneously a vector-valued function and its curl or ...
Alexandre Ern, Jean-Luc Guermond
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The quasi-interpolation operators introduced in Chapter 22 are \(L^1\)-stable, are projections and have optimal (local) approximation properties. However, they do not commute with the usual differential operators (gradient, curl, and divergence), which makes them difficult to use to approximate simultaneously a vector-valued function and its curl or ...
Alexandre Ern, Jean-Luc Guermond
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Quasi-interpolation and outliers removal
Numerical Algorithms, 2017The authors develop a method for removing outliers using quasi-interpolation. The authors use quasi-interpolation and the approximation error of a function to create a boundary beyond which a data point is adjudicated as an outlier and removed from the dataset.
Anat Amir, David Levin
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A Family of Spline Quasi-Interpolants on the Sphere
Numerical Algorithms, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
O. Nouisser +2 more
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Multiquadric quasi-interpolation for integral functionals
Mathematics and Computers in Simulation, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wenwu Gao, Xia Zhang, Xuan Zhou 0008
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Scattered data quasi‐interpolation on spheres
Mathematical Methods in the Applied Sciences, 2014This paper studies the construction and approximation of quasi‐interpolation for spherical scattered data. First of all, a kind of quasi‐interpolation operator with Gaussian kernel is constructed to approximate the spherical function, and two Jackson type theorems are established.
Chen, Zhixiang, Cao, Feilong, Li, Ming
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