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20222026
most citedSome observations regarding the RBF-FD approximation accuracy dependence on stencil size

8 citations · 19 across the 13 of their papers we have counts for

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math.NA2025

Adaptive hyperviscosity stabilisation for the RBF-FD method in solving advection-dominated transport equations

Miha Rot, Žiga Vaupotič, Andrej Kolar-Požun +1

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-li…

math.NA2025★ 1 cited

A Numerical Study of Combining RBF Interpolation and Finite Differences to Approximate Differential Operators

Adrijan Rogan, Andrej Kolar-Požun, Gregor Kosec

This paper focuses on RBF-based meshless methods for approximating differential operators, one of the most popular being RBF-FD. Recently, a hybrid approach was introduced that com…

math.NA2024

Numerical analysis of small-strain elasto-plastic deformation using local Radial Basis Function approximation with Picard iteration

Filip Strniša, Mitja Jančič, Gregor Kosec

This paper deals with a numerical analysis of plastic deformation under various conditions, utilizing Radial Basis Function (RBF) approximation. The focus is on the elasto-plastic…

math.NA2024★ 2 cited

Spatially dependent node regularity in meshless approximation of partial differential equations

Miha Rot, Mitja Jančič, Gregor Kosec

In this paper, we address a way to reduce the total computational cost of meshless approximation by reducing the required stencil size through spatially varying computational node…

math.NA2024★ 8 cited

Some observations regarding the RBF-FD approximation accuracy dependence on stencil size

Andrej Kolar-Požun, Mitja Jančič, Miha Rot +1

When solving partial differential equations on scattered nodes using the Radial Basis Function-generated Finite Difference (RBF-FD) method, one of the parameters that must be chose…

math.NA2024

A superconvergence result in the RBF-FD method

Andrej Kolar-Požun, Mitja Jančič, Gregor Kosec

Radial Basis Function-generated Finite Differences (RBF-FD) is a meshless method that can be used to numerically solve partial differential equations. The solution procedure consis…

math.NA2023

Meshless interface tracking for the simulation of dendrite envelope growth

Mitja Jančič, Miha Založnik, Gregor Kosec

The growth of dendritic grains during solidification is often modelled using the Grain Envelope Model (GEM), in which the envelope of the dendrite is an interface tracked by the Ph…

math.NA2022★ 3 cited

Refined radial basis function-generated finite difference analysis of non-Newtonian natural convection

Miha Rot, Gregor Kosec

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-N…