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Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method

Soft Computing, 2015
This 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
openaire   +1 more source

Regression models for functional data by reproducing kernel Hilbert spaces methods

Journal of Statistical Planning and Inference, 2007
zbMATH 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 Equations
Summary: 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
openaire   +1 more source

A Data Analysis Method Using Orthogonal Transformation in a Reproducing Kernel Hilbert Space

2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023
Lingxiao Qu   +2 more
openaire   +1 more source

Reproducing kernel Hilbert space method for the numerical solutions of fractional cancer tumor models

Mathematical Methods in the Applied Sciences, 2023
Nourhane Attia   +2 more
exaly  

Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach

Operations Research, 2022
Dimitris 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, 2018
Babak Azarnavid, Kourosh Parand
exaly  

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