Suchergebnisse - Iterative reproducing kernel algorithm

Solutions of Bagley–Torvik and Painlevé equations of fractional order using iterative reproducing kernel algorithm with error estimates von Omar Abu Arqub, Banan Maayah

“… This paper presents iterative reproducing kernel algorithm for obtaining the numerical solutions of Bagley–Torvik and Painlevé …”
Volltext

Retraction Note: Solutions of Bagley–Torvik and Painlevé equations of fractional order using iterative reproducing kernel algorithm with error estimates von Abu Arqub, Omar, Maayah, Banan

Volltext

Numerical Solutions of Fractional Systems of Two-Point BVPs by Using the Iterative Reproducing Kernel Algorithm von Altawallbeh, Z., Al-Smadi, M., Komashynska, I., Ateiwi, A.

“… We propose an efficient computational method, namely, the iterative reproducing kernel method for the approximate solution of fractional-order systems of two-point time boundary-value problems in the Caputo sense …”
Volltext

RETRACTED ARTICLE: Solutions of Bagley–Torvik and Painlevé equations of fractional order using iterative reproducing kernel algorithm with error estimates von Abu Arqub, Omar, Maayah, Banan

“… This paper presents iterative reproducing kernel algorithm for obtaining the numerical solutions of Bagley–Torvik and Painlevé …”
Volltext

Effective numerical technique for nonlinear Caputo-Fabrizio systems of fractional Volterra integro-differential equations in Hilbert space von Youbi, Fatima, Momani, Shaher, Hasan, Shatha, Al-Smadi, Mohammed

“… The methodology relies on creating the reproducing kernel functions to gain analytical solutions in a uniform form of a rapidly convergent series in the Hilbert space …”
Volltext

Numerical investigation for Caputo-Fabrizio fractional Riccati and Bernoulli equations using iterative reproducing kernel method von Momani, Shaher, Djeddi, Nadir, Al-Smadi, Mohammed, Al-Omari, Shrideh

“… The pivotal aim of present work is to design and implement an effective numerical approach, the iterative reproducing-kernel algorithm, to provide numerical solutions to the fractional Riccati …”
Volltext

Solving the generalized regularized long wave equation on the basis of a reproducing kernel space von Mohammadi, Maryam, Mokhtari, Reza

“… On the basis of a reproducing kernel space, an iterative algorithm for solving the generalized regularized long wave equation is presented …”
Volltext

Reproducing Kernel Method for Solving Nonlinear Differential-Difference Equations von Mokhtari, Reza, Toutian Isfahani, Fereshteh, Mohammadi, Maryam

“… On the basis of reproducing kernel Hilbert spaces theory, an iterative algorithm for solving some nonlinear differential-difference equations (NDDEs) is presented …”
Volltext

Numerical algorithm to solve a coupled system of fractional order using a novel reproducing kernel method von Saadeh, Rania

“… In this paper, a coupled system of fractional differential equations along with integral boundary conditions is discussed by means of the iterative reproducing kernel algorithm …”
Volltext

Sampling and reconstruction of signals in a reproducing kernel subspace of L p ( R d ) von Nashed, M. Zuhair, Sun, Qiyu

“… In this paper, we consider sampling and reconstruction of signals in a reproducing kernel subspace of L p ( R d ) , 1 ⩽ p …”
Volltext

Sampling and Galerkin reconstruction in reproducing kernel spaces von Cheng, Cheng, Jiang, Yingchun, Sun, Qiyu

“… We show that the proposed Galerkin method provides a quasi-optimal approximation, and the corresponding Galerkin equations could be solved by an iterative approximation-projection algorithm …”
Volltext

Average sampling and reconstruction for reproducing kernel stochastic signals von Jiang, Yingchun, Wang, Suping, Yang, Meixiang

“… First, a uniform convergence result for reconstructing the deterministic reproducing kernel signals by an iterative algorithm is established …”
Volltext

Adaptive learning in Cartesian product of reproducing kernel Hilbert spaces von Yukawa, Masahiro

“… We propose a novel adaptive learning algorithm based on iterative orthogonal projections in the Cartesian product of multiple reproducing kernel Hilbert spaces (RKHSs …”
Volltext

Adaptation of reproducing kernel method in solving Atangana–Baleanu fractional Bratu model von Al-Smadi, Mohammed, Momani, Shaher, Djeddi, Nadir, El-Ajou, Ahmad, Al-Zhour, Zeyad

“… –Baleanu operator with easily calculable components. By means of reproducing kernel theory, an iterative operational algorithm is built for dealing with the fractional Bratu-type equations …”
Volltext

Sampling and Reconstruction of Concentrated Reproducing Kernel Signals in Mixed Lebesgue Spaces von Jiang, Yingchun, Zhang, Yajing

“… ) , where X is a metric space with non-negative Borel measure. We first revisit and reformulate the iterative reconstruction algorithms in reproducing kernel subspaces of mixed Lebesgue spaces …”
Volltext

An iterative reproducing kernel method in Hilbert space for the multi-point boundary value problems von Azarnavid, Babak, Parand, Kourosh

“… The algorithm is based on the reproducing kernel Hilbert space method. We use an iterative scheme to overcome the nonlinearity of the problem …”
Volltext

Sampling and quasi-optimal approximation for signals in a reproducing kernel space of homogeneous type von Jiang, Yingchun, Wang, Suping

“… Secondly, the stability and an iterative algorithm with exponential convergence are established for sampling and recovering signals in a subspace of homogeneous reproducing kernel space …”
Volltext

A regularization algorithm for decoding perceptual temporal profiles from fMRI data von Prato, Marco, Favilla, Stefania, Zanni, Luca, Porro, Carlo A., Baraldi, Patrizia

“… Hence, new algorithms were proposed to solve this inverse problem in the context of Reproducing Kernel Hilbert Spaces …”
Volltext

Time sampling and reconstruction in weighted reproducing kernel subspaces von Jiang, Yingchun

“… This paper mainly studies the time sampling and reconstruction of signals in weighted reproducing kernel subspaces of Lνp …”
Volltext

Online learning based on iterative projections in sum space of linear and Gaussian reproducing kernel Hilbert spaces von Yukawa, Masahiro

“… We propose a novel multikernel adaptive filtering algorithm based on the iterative projections in the sum space of reproducing kernel Hilbert spaces …”
Volltext