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Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method
Soft Computing, 2015This paper presents a new method for solving fuzzy differential equations based on the use of the reproducing kernel Hilbert space method under the assumption of strongly generalized differentiability. After some preliminary definitions and results , the paper introduces an overview of the theory of fuzzy differential equations.
Omar Abu Arqub +3 more
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Regression models for functional data by reproducing kernel Hilbert spaces methods
Journal of Statistical Planning and Inference, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Solution of Klein-Gordon Equation by a Method of Lines Using Reproducing Kernel Hilbert Space Method
Journal of Partial Differential EquationsSummary: This paper presents a method of lines solution based on the reproducing kernel Hilbert space method to the nonlinear one-dimensional Klein-Gordon equation that arises in many scientific fields areas. Our method uses discretization of the partial derivatives of the space variable to get a system of ODEs in the time variable and then solve the ...
Patel, Kaushal, Patel, Gautam
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A Data Analysis Method Using Orthogonal Transformation in a Reproducing Kernel Hilbert Space
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023Lingxiao Qu +2 more
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Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach
Operations Research, 2022Dimitris Bertsimas, Nihal Koduri
exaly
An iterative reproducing kernel method in Hilbert space for the multi-point boundary value problems
Journal of Computational and Applied Mathematics, 2018Babak Azarnavid, Kourosh Parand
exaly

