activity
20182022
most citedOn generation of node distributions for meshless PDE discretizations

90 citations · 274 across the 10 of their papers we have counts for

collaborators

10 papers

cs.DC2022

Parallel domain discretization algorithm for RBF-FD and other meshless numerical methods for solving PDEs

Matjaž Depolli, Jure Slak, Gregor Kosec

In this paper, we present a novel parallel dimension-independent node positioning algorithm that is capable of generating nodes with variable density, suitable for meshless numeric…

math.NA2021★ 2 cited

p-refined RBF-FD solution of a Poisson problem

Mitja Jančič, Jure Slak, Gregor Kosec

Local meshless methods obtain higher convergence rates when RBF approximations are augmented with monomials up to a given order. If the order of the approximation method is spatial…

math.NA2021★ 3 cited

GPU accelerated RBF-FD solution of Poisson's equation

Mitja Jančič, Jure Slak, Gregor Kosec

The Radial Basis Function-generated finite differences became a popular variant of local meshless strong form methods due to its robustness regarding the position of nodes and its…

math.NA2020★ 15 cited

Fast variable density node generation on parametric surfaces with application to mesh-free methods

Urban Duh, Gregor Kosec, Jure Slak

Domain discretization is considered a dominant part of solution procedures for solving partial differential equations. It is widely accepted that mesh generation is among the most…

cs.CE2020★ 7 cited

RBF-FD analysis of 2D time-domain acoustic wave propagation in heterogeneous media

Jure Močnik - Berljavac, Pankaj K Mishra, Jure Slak +1

Radial Basis Function-generated Finite Differences (RBF-FD) is a popular variant of local strong-form meshless methods that do not require a predefined connection between the nodes…

cs.MS2019★ 46 cited

Medusa: A C++ Library for solving PDEs using Strong Form Mesh-Free methods

Jure Slak, Gregor Kosec

Medusa, a novel library for implementation of strong form mesh-free methods, is described. We identify and present common parts and patterns among many such methods reported in the…

math.NA2019★ 33 cited

Monomial augmentation guidelines for RBF-FD from accuracy vs. computational time perspective

Mitja Jančič, Jure Slak, Gregor Kosec

Local meshless methods using RBFs augmented with monomials have become increasingly popular, due to the fact that they can be used to solve PDEs on scattered node sets in a dimensi…

math.NA2019★ 29 cited

Refined Meshless Local Strong Form solution of Cauchy-Navier equation on an irregular domain

Jure Slak, Gregor Kosec

This paper considers a numerical solution of a linear elasticity problem, namely the Cauchy-Navier equation, using a strong form method based on a local Weighted Least Squares (WLS…

math.NA2018★ 90 cited

On generation of node distributions for meshless PDE discretizations

Jure Slak, Gregor Kosec

In this paper we present an algorithm that is able to generate locally regular node layouts with spatially variable nodal density for interiors of arbitrary domains in two, three a…

math.NA2018★ 49 cited

Adaptive Radial Basis Function-generated Finite Differences method for contact problems

Jure Slak, Gregor Kosec

This paper proposes an original adaptive refinement framework using Radial Basis Functions-generated Finite Differences method. Node distributions are generated with a Poisson Disk…