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Adaptive Learning with Reproducing Kernels (General topics on applications of reproducing kernels)
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Computer Methods in Applied Mechanics and Engineering, 2019
A reproducing kernel gradient smoothing framework with explicit quadrature rules is proposed for efficient Galerkin meshfree formulation. In this framework, the meshfree smoothed gradients are formulated via a reproducing kernel representation of the ...
Dongdong Wang, Junchao Wu
exaly +2 more sources
A reproducing kernel gradient smoothing framework with explicit quadrature rules is proposed for efficient Galerkin meshfree formulation. In this framework, the meshfree smoothed gradients are formulated via a reproducing kernel representation of the ...
Dongdong Wang, Junchao Wu
exaly +2 more sources
Reproducing kernel functions based univariate spline interpolation
Applied Mathematics Letters, 2021Fazhan Geng
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Reproducing kernel particle methods
International Journal for Numerical Methods in Fluids, 1995Wing Kam Liu, Sukky Jun
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Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach
Operational Research, 2021Data-Driven Optimization Using Reproducing Kernel Hilbert ...
D. Bertsimas, Nihal Koduri
semanticscholar +1 more source
, 2021
Increased attention has been paid on numerical modeling of interface problems as its wide applications in various aspects of science. Motivated by enhancing the application of the reproducing kernel, we focus on establishing a broken cubic spline spaces ...
Minqiang Xu, Lufang Zhang, E. Tohidi
semanticscholar +1 more source
Increased attention has been paid on numerical modeling of interface problems as its wide applications in various aspects of science. Motivated by enhancing the application of the reproducing kernel, we focus on establishing a broken cubic spline spaces ...
Minqiang Xu, Lufang Zhang, E. Tohidi
semanticscholar +1 more source
Optimal Transport in Reproducing Kernel Hilbert Spaces: Theory and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020In this paper, we present a mathematical and computational framework for comparing and matching distributions in reproducing kernel Hilbert spaces (RKHS).
Zhen Zhang, Mianzhi Wang, A. Nehorai
semanticscholar +1 more source
A meshfree stabilized collocation method (SCM) based on reproducing kernel approximation
Computer Methods in Applied Mechanics and Engineering, 2020Meshfree direct collocation method (DCM) based on strong form suffers low accuracy and instability compared with Galerkin-based meshfree methods. Meshfree weighted least squares collocation method (WLSCM) can improve the accuracy and stability by ...
Lihua Wang, Zhihao Qian
semanticscholar +1 more source
, 2020
In this article, a class of population growth model, the fractional nonlinear logistic system, is studied analytically and numerically. This model is investigated by means of Atangana-Baleanu fractional derivative with a non-local smooth kernel in ...
S. Hasan +4 more
semanticscholar +1 more source
In this article, a class of population growth model, the fractional nonlinear logistic system, is studied analytically and numerically. This model is investigated by means of Atangana-Baleanu fractional derivative with a non-local smooth kernel in ...
S. Hasan +4 more
semanticscholar +1 more source
Mathematical methods in the applied sciences, 2020
In this article, a class of generalized telegraph and Cattaneo time‐fractional models along with Robin's initial‐boundary conditions is considered using the adaptive reproducing kernel framework.
M. Al‐Smadi +2 more
semanticscholar +1 more source
In this article, a class of generalized telegraph and Cattaneo time‐fractional models along with Robin's initial‐boundary conditions is considered using the adaptive reproducing kernel framework.
M. Al‐Smadi +2 more
semanticscholar +1 more source

