A strong-form local meshless approach based on radial basis function-finite difference (RBF-FD) method for solving multi-dimensional coupled damped Schrödinger …

Ö Oruç - Communications in Nonlinear Science and Numerical …, 2022 - Elsevier
In this work, one-dimensional (1D), two-dimensional (2D) and three-dimensional (3D)
coupled damped Schrödinger system is solved numerically. A strong-form local meshless …

A local radial basis function-finite difference (RBF-FD) method for solving 1D and 2D coupled Schrödinger-Boussinesq (SBq) equations

Ö Oruç - Engineering Analysis with Boundary Elements, 2021 - Elsevier
In this study, one-dimensional (1D) and two-dimensional (2D) coupled Schrödinger-
Boussinesq (SBq) equations are examined numerically. A local meshless method based on …

A radial basis function finite difference (RBF-FD) method for numerical simulation of interaction of high and low frequency waves: Zakharov–Rubenchik equations

Ö Oruç - Applied Mathematics and Computation, 2021 - Elsevier
In this study, we examine numerical solutions of Zakharov–Rubenchik system which is a
coupled nonlinear partial differential equation. The numerical method in the current study is …

A localisation technique based on radial basis function partition of unity for solving Sobolev equation arising in fluid dynamics

O Nikan, Z Avazzadeh - Applied Mathematics and Computation, 2021 - Elsevier
This paper develops a numerical approach for finding the approximate solution of the
Sobolev model. This model describes many natural processes, such as thermal conduction …

Solving Poisson equation with Dirichlet conditions through multinode Shepard operators

F Dell'Accio, F Di Tommaso, O Nouisser… - Computers & Mathematics …, 2021 - Elsevier
The multinode Shepard operator is a linear combination of local polynomial interpolants with
inverse distance weighting basis functions. This operator can be rewritten as a blend of …

Numerical study of integer-order hyperbolic telegraph model arising in physical and related sciences

I Ahmad, H Ahmad, AE Abouelregal… - The European Physical …, 2020 - Springer
More recently, it is discovered in the field of applied sciences and engineering that the
telegraph equation is better suited to model reaction-diffusion than the ordinary diffusion …

[HTML][HTML] Numerical cubature on scattered data by adaptive interpolation

R Cavoretto, A De Rossi, F Dell'Accio… - … of Computational and …, 2024 - Elsevier
We construct cubature methods on scattered data via resampling on the support of known
algebraic cubature formulas, by different kinds of adaptive interpolation (polynomial, RBF …

An adaptive residual sub-sampling algorithm for kernel interpolation based on maximum likelihood estimations

R Cavoretto, A De Rossi - Journal of Computational and Applied …, 2023 - Elsevier
In this paper we propose an enhanced version of the residual sub-sampling method (RSM)
in Driscoll and Heryudono (2007) for adaptive interpolation by radial basis functions (RBFs) …

Gaussian process metamodel and Markov chain Monte Carlo-based Bayesian inference framework for stochastic nonlinear model updating with uncertainties

YJ Ding, ZC Wang, Y Xin - Probabilistic Engineering Mechanics, 2024 - Elsevier
The estimation of the posterior probability density function (PDF) of unknown parameters
remains a challenge in stochastic nonlinear model updating with uncertainties; thus, a novel …

RBFCUB: A numerical package for near-optimal meshless cubature on general polygons

R Cavoretto, A De Rossi, A Sommariva… - Applied Mathematics …, 2022 - Elsevier
In this paper we improve the cubature rules discussed in Sommariva and Vianello (2021) for
the computation of integrals by radial basis functions (RBFs). More precisely, we introduce in …