Results 31 to 40 of about 14,705 (213)

A meshless method using global radial basis functions for creating 3-D wind fields from sparse meteorological data

open access: yesComputer Assisted Methods in Engineering and Science, 2017
An efficient, global meshless method has been developed for creating 3-D wind fields utilizing sparse meteorological tower data. Meshless methods do not require the need for a mesh in order to connect node points.
Darrell W. Pepper   +2 more
doaj   +1 more source

The collocation and meshless methods for differential equations in R(2)

open access: yes, 2007
In recent years, meshless methods have become popular ones to solve differential equations. In this thesis, we aim at solving differential equations by using Radial Basis Functions, collocation methods and fundamental solutions (MFS).
Jarjees, Thamira Abid
core   +1 more source

Addressing Integration Error for Polygonal Finite Elements Through Polynomial Projections: A Patch Test Connection [PDF]

open access: yes, 2013
Polygonal finite elements generally do not pass the patch test as a result of quadrature error in the evaluation of weak form integrals. In this work, we examine the consequences of lack of polynomial consistency and show that it can lead to a ...
Paulino, Glaucio H., Talischi, Cameron
core   +1 more source

Meshless solution of the neutron diffusion equation by the RBF collocation method using optimum shape parameters

open access: yesJournal of Innovative Science and Engineering, 2019
The meshless radial basis function collocation method is an efficient numerical technique for solving partial differential equations. The multiquadric is the most widely utilized radial function for this purpose; but it contains a shape parameter, which ...
Tayfun TANBAY
doaj   +1 more source

Meshless method for the numerical solution of the Fokker–Planck equation

open access: yesAin Shams Engineering Journal, 2015
In this paper numerical meshless method for solving Fokker–Planck equation is considered. This meshless method is based on multiquadric radial basis function and collocation method to approximate the solution.
Maysam Askari, Hojatollah Adibi
doaj   +1 more source

Trefftz Difference Schemes on Irregular Stencils

open access: yes, 2009
The recently developed Flexible Local Approximation MEthod (FLAME) produces accurate difference schemes by replacing the usual Taylor expansion with Trefftz functions -- local solutions of the underlying differential equation.
Al Shenk   +50 more
core   +1 more source

Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source

Numerical Solution of the Multiterm Time-Fractional Model for Heat Conductivity by Local Meshless Technique

open access: yesComplexity, 2021
Fractional partial differential equation models are frequently used to several physical phenomena. Despite the ability to express many complex phenomena in different disciplines, researchers have found that multiterm time-fractional PDEs improve the ...
Bander N. Almutairi   +4 more
doaj   +1 more source

A stabilized radial basis-finite difference (RBF-FD) method with hybrid kernels

open access: yes, 2018
Recent developments have made it possible to overcome grid-based limitations of finite difference (FD) methods by adopting the kernel-based meshless framework using radial basis functions (RBFs). Such an approach provides a meshless implementation and is
Fasshauer, Gregory E   +3 more
core   +1 more source

Direct Numerical Simulation of Magnetohydrodynamic Slip‐Flow Past a Stretching Surface Using Physics‐Informed Neural Network

open access: yesHeat Transfer, EarlyView.
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley   +1 more source

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