collaborators

10 papers

cs.DC2026

Load Balanced Parallel Node Generation for Meshless Numerical Methods

Jon Vehovar, Miha Rot, Matjaž Depolli +1

Meshless methods are used to solve partial differential equations by approximating differential operators at a node as a weighted sum of values at its neighbours. One of the algori…

physics.flu-dyn2026

Meshless -adaptive Solution for non-Newtonian Natural Convection in a Differentially Heated Cavity

Miha Rot, Gregor Kosec

One of the main challenges in numerically solving partial differential equations is finding a discretisation for the computational domain that balances the accurate representation…

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…

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…