collaborators

8 papers

math.NA2026

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.NA2026

A representation and comparison of three cubic macro-elements

Ema Češek, Jan Grošelj, Andrej Kolar-Požun +4

The paper is concerned with three types of cubic splines over a triangulation that are characterized by three degrees of freedom associated with each vertex of the triangulation. T…

physics.comp-ph2026

An RBF-based method for computational electromagnetics with reduced numerical dispersion

Andrej Kolar-Požun, Gregor Kosec

The finite difference time domain method is one of the simplest and most popular methods in computational electromagnetics. This work considers two possible ways of generalising it…

math.NA2026

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.NA2026

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.NA2026

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…