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相关论文: A Robust Hyperviscosity Formulation for Stable RBF…

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We present a novel hyperviscosity formulation for stabilizing RBF-FD discretizations of the advection-diffusion equation. The amount of hyperviscosity is determined quasi-analytically for commonly-used explicit, implicit, and…

数值分析 · 数学 2018-08-01 Varun Shankar , Aaron L. Fogelson

This paper presents an adaptive hyperviscosity stabilisation procedure for the Radial Basis Function-generated Finite Difference (RBF-FD) method, aimed at solving linear and non-linear advection-dominated transport equations on domains…

数值分析 · 数学 2026-04-22 Miha Rot , Žiga Vaupotič , Andrej Kolar-Požun , Gregor Kosec

Convection-diffusion equations arise in a variety of applications such as particle transport, electromagnetics, and magnetohydrodynamics. Simulation of the convection-dominated regime for these problems, even with high-fidelity techniques,…

数值分析 · 数学 2023-05-24 James H. Adler , Casey Cavanaugh , Xiaozhe Hu , Andy Huang , Nathaniel Trask

In this paper, we present a method based on Radial Basis Function (RBF)-generated Finite Differences (FD) for numerically solving diffusion and reaction-diffusion equations (PDEs) on closed surfaces embedded in $\mathbb{R}^d$. Our method…

数值分析 · 数学 2014-04-04 Varun Shankar , Grady B. Wright , Robert M. Kirby , Aaron L. Fogelson

In this paper, we solve nonlinear conservation laws using the radial basis function generated finite difference (RBF-FD) method. Nonlinear conservation laws have solutions that entail strong discontinuities and shocks, which give rise to…

数值分析 · 数学 2022-04-06 Igor Tominec , Murtazo Nazarov

We present a high-order radial basis function finite difference (RBF-FD) framework for the solution of advection-diffusion equations on time-varying domains. Our framework is based on a generalization of the recently developed Overlapped…

数值分析 · 数学 2021-09-15 Varun Shankar , Grady B. Wright , Aaron L. Fogelson

A major obstacle to the application of the standard Radial Basis Function-generated Finite Difference (RBF-FD) meshless method is constituted by its inability to accurately and consistently solve boundary value problems involving Neumann…

数值分析 · 数学 2022-07-15 Riccardo Zamolo , Davide Miotti , Enrico Nobile

We present the hybridization of flux reconstruction methods for advection-diffusion problems. Hybridization introduces a new variable into the problem so that it can be reduced via static condensation. This allows the solution of implicit…

数值分析 · 数学 2023-10-25 Carlos A. Pereira , Brian C. Vermeire

In this paper, we present a meshless hybrid method combining the Generalized Finite Difference (GFD) and Finite Difference based Radial Basis Function (RBF-FD) approaches to solve non-homogeneous partial differential equations (PDEs)…

数值分析 · 数学 2025-05-02 Priyal Garg , T. V. S. Sekhar

This paper introduces a novel meshfree methodology based on Radial Basis Function-Finite Difference (RBF-FD) approximations for the numerical solution of partial differential equations (PDEs) on surfaces of codimension 1 embedded in…

数值分析 · 数学 2024-12-20 Víctor Bayona , Argyrios Petras , Cécile Piret , Steven J. Ruuth

In this paper we present a refined Radial Basis Function-generated Finite Difference (RBF-FD) solution for a non-Newtonian fluid in a closed differentially heated cavity. The non-Newtonian behaviour is modelled with the Ostwald-de Waele…

数值分析 · 数学 2025-03-24 Miha Rot , Gregor Kosec

Derivative boundary conditions introduce challenges for mesh-free discretizations of PDEs on surfaces, especially when the domain is represented by randomly sampled point clouds. The recently developed two-step tangent-space RBF-generated…

数值分析 · 数学 2026-03-31 Peng Chen , Shixiao Willing Jiang , Rongji Li , Qile Yan

A specialized mesh-free radial basis function-based finite difference (RBF-FD) discretization is used to solve the large eigenvalue problems arising in hydrodynamic stability analyses of flows in complex domains. Polyharmonic spline…

流体动力学 · 物理学 2023-08-15 Tianyi Chu , Oliver T. Schmidt

The numerical stability of fluid flow is an important topic in computational fluid dynamics as fluid flow simulations usually become numerically unstable in the turbulent regime. Many mesh-based methods have already established numerical…

流体动力学 · 物理学 2025-02-19 Žiga Vaupotič , Miha Rot , Gregor Kosec

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…

数值分析 · 数学 2019-01-07 Pankaj K Mishra , Gregory E Fasshauer , Mrinal K Sen , Leevan Ling

A recently developed Eulerian finite element method is applied to solve advection-diffusion equations posed on hypersurfaces. When transport processes on a surface dominate over diffusion, finite element methods tend to be unstable unless…

数值分析 · 数学 2013-03-26 Maxim A. Olshanskii , Arnold Reusken , Xianmin Xu

Strong-form meshless methods received much attention in recent years and are being extensively researched and applied to a wide range of problems in science and engineering. However, the solution of elasto-plastic problems has proven to be…

数值分析 · 数学 2023-10-02 Gašper Vuga , Boštjan Mavrič , Božidar Šarler

Analytical expressions for radial distribution function (RDF) are of critical importance for various applications, such as development of the perturbation theories for equilibrium properties. Theoretically, RDF expressions for…

统计力学 · 物理学 2023-10-20 Hongqin Liu

In this work, we investigate (energy) stability of global radial basis function (RBF) methods for linear advection problems. Classically, boundary conditions (BC) are enforced strongly in RBF methods. By now it is well-known that this can…

数值分析 · 数学 2021-02-11 Jan Glaubitz , Elise Le Mélédo , Philipp Öffner

In this paper we study the stability of explicit finite difference discretizations of linear advection-diffusion equations (ADE) with arbitrary order of accuracy in the context of method of lines. The analysis first focuses on the stability…

数值分析 · 数学 2020-06-17 Xianyi Zeng , Md Mahmudul Hasan
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