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 …
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 …
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 …
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 …
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 …
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
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 …
telegraph equation is better suited to model reaction-diffusion than the ordinary diffusion …
[HTML][HTML] Numerical cubature on scattered data by adaptive interpolation
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 …
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) …
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 …
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
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 …
the computation of integrals by radial basis functions (RBFs). More precisely, we introduce in …