Results 281 to 290 of about 13,291 (315)
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General superconvergence for kernel-based approximation
arXiv.orgKernel interpolation is a fundamental technique for approximating functions from scattered data, with a well-understood convergence theory when interpolating elements of a reproducing kernel Hilbert space.
Toni Karvonen, G. Santin, T. Wenzel
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Improving Neural Optimal Transport via Displacement Interpolation
International Conference on Learning RepresentationsOptimal Transport (OT) theory investigates the cost-minimizing transport map that moves a source distribution to a target distribution. Recently, several approaches have emerged for learning the optimal transport map for a given cost function using ...
Jaemoo Choi, Yongxin Chen, Jaewoong Choi
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On approximation theory of nonlocal differential operators
, 2021Haicheng Yu, Shaofan Li
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Approximation and interpolation methods in the theory of entire functions of several variables
1972Artykuł w: Annales Universitatis Mariae Curie-Skłodowska. Sectio A, Mathematica. Vol. 22/23/24 (1968/1969/1970), s. 7-15 ; streszcz. pol., ros. ; Artykuł w: Annales Universitatis Mariae Curie-Skłodowska. Sectio A, Mathematica. Vol. 22/23/24 (1968/1969/1970), s. 7-15 ; streszcz. pol., ros.
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Implicit surface reconstruction based on a new interpolation/approximation radial basis function
Computer Aided Geometric Design, 2022Yajun Zeng, Yuanpeng Zhu
exaly
Grüss-type and Ostrowski-type inequalities in approximation theory
, 2011A. Acu, H. Gonska, I. Raşa
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Approximation to the k-th derivatives by multiquadric quasi-interpolation method
Journal of Computational and Applied Mathematics, 2009Zongmin Wu
exaly