Results 1 to 10 of about 52,154 (284)

Reproducing Kernel Method with Global Derivative

open access: yesJournal of Function Spaces, 2023
Ordinary differential equations describe several phenomena in different fields of engineering and physics. Our aim is to use the reproducing kernel Hilbert space method (RKHSM) to find a solution to some ordinary differential equations (ODEs) that are ...
Nourhane Attia   +2 more
doaj   +4 more sources

Reproducing Kernel Method for Fractional Riccati Differential Equations [PDF]

open access: yesAbstract and Applied Analysis, 2014
This paper is devoted to a new numerical method for fractional Riccati differential equations. The method combines the reproducing kernel method and the quasilinearization technique.
X. Y. Li, B. Y. Wu, R. T. Wang
doaj   +4 more sources

Reproducing Kernel Method for Solving Nonlinear Differential-Difference Equations [PDF]

open access: yesAbstract and Applied Analysis, 2012
On the basis of reproducing kernel Hilbert spaces theory, an iterative algorithm for solving some nonlinear differential-difference equations (NDDEs) is presented.
Reza Mokhtari   +2 more
doaj   +5 more sources

Solving Two-Sided Fractional Super-Diffusive Partial Differential Equations with Variable Coefficients in a Class of New Reproducing Kernel Spaces

open access: yesFractal and Fractional, 2022
Fractional-order calculus has become a useful mathematical framework to describe the complex super-diffusive process; however, numerical solutions of the two-sided space-fractional super-diffusive model with variable coefficients are difficult to obtain,
Zhiyuan Li   +3 more
doaj   +1 more source

Path Integrals on Euclidean Space Forms [PDF]

open access: yes, 2015
In this paper we develop a quantization method for flat compact manifolds based on path integrals. In this method the Hilbert space of holomorphic functions in the complexification of the manifold is used. This space is a reproducing kernel Hilbert space.
Capobianco, Guillermo, Reartes, Walter
core   +3 more sources

Kernel center adaptation in the reproducing kernel Hilbert space embedding method

open access: yesInternational Journal of Adaptive Control and Signal Processing, 2022
SummaryThe performance of adaptive estimators that employ embedding in reproducing kernel Hilbert spaces (RKHS) depends on the choice of the location of basis kernel centers. Parameter convergence and error approximation rates depend on where and how the kernel centers are distributed in the state‐space.
Sai Tej Paruchuri   +2 more
openaire   +2 more sources

On solutions of fractional order time varying linear dynamical systems model

open access: yesArab Journal of Basic and Applied Sciences, 2021
In this paper, the linear and nonlinear fractional order time varying linear dynamical systems model has been studied. The homotopy perturbation method is used to find the approximation solution.
Mahmut Modanli, Ali Akgül
doaj   +1 more source

Statistical properties of the method of regularization with periodic Gaussian reproducing kernel [PDF]

open access: yes, 2004
The method of regularization with the Gaussian reproducing kernel is popular in the machine learning literature and successful in many practical applications. In this paper we consider the periodic version of the Gaussian kernel regularization.
Brown, Lawrence D., Lin, Yi
core   +4 more sources

Using Reproducing Kernel for Solving a Class of Fractional Order Integral Differential Equations

open access: yesAdvances in Mathematical Physics, 2020
This paper is devoted to the numerical scheme for a class of fractional order integrodifferential equations by reproducing kernel interpolation collocation method with reproducing kernel function in the form of Jacobi polynomials.
Zhiyuan Li   +3 more
doaj   +1 more source

Calculation of the Reproducing Kernel on the Reproducing Kernel Space with Weighted Integral

open access: yesJournal of Applied Mathematics, 2012
We provide a new definition for reproducing kernel space with weighted integral and present a method to construct and calculate the reproducing kernel for the space. The new reproducing kernel space is an enlarged reproducing kernel space, which contains
Er Gao, Songhe Song, Xinjian Zhang
doaj   +1 more source

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