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

8 citations · 28 across the 13 of their papers we have counts for

collaborators

13 papers

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…

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…

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…

cs.DC2025

Performance Trade-offs of High Order Meshless Approximation on Distributed Memory Systems

Jon Vehovar, Miha Rot, Gregor Kosec

Meshless methods approximate operators in a specific node as a weighted sum of values in its neighbours. Higher order approximations of derivatives provide more accurate solutions…

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…

physics.flu-dyn2024★ 3 cited

Hyperviscosity stabilisation of the RBF-FD solution to natural convection

Žiga Vaupotič, Miha Rot, Gregor Kosec

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. M…

physics.flu-dyn2024★ 1 cited

Cross-validation of meshless Navier-Stokes solvers in porous media flows

Dawid Strzelczyk, Miha Rot, Gregor Kosec +1

In this paper, two mesh-free CFD solvers for pore-scale fluid flow through porous media are considered, namely the Lattice Boltzmann Method with the two relaxation time collision t…

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.NA2023

Spatially-varying meshless approximation method for enhanced computational efficiency

Mitja Jančič, Miha Rot, 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 spatial variation of computational no…

math.NA2023★ 2 cited

Oscillatory behaviour of the RBF-FD approximation accuracy under increasing 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…

cs.LG2022★ 3 cited

Meshless method stencil evaluation with machine learning

Miha Rot, Aleksandra Rashkovska

Meshless methods are an active and modern branch of numerical analysis with many intriguing benefits. One of the main open research questions related to local meshless methods is h…

math.NA2022★ 6 cited

Dynamic mode decomposition as an analysis tool for time-dependent partial differential equations

Miha Rot, Martin Horvat, Gregor Kosec

The time-dependent fields obtained by solving partial differential equations in two and more dimensions quickly overwhelm the analytical capabilities of the human brain. A meaningf…

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…