activity
20192024
most citedMonomial augmentation guidelines for RBF-FD from accuracy vs. computational time perspective

33 citations · 73 across the 16 of their papers we have counts for

collaborators

18 papers

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.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…

math.NA2022★ 4 cited

Strong form mesh-free -adaptive solution of linear elasticity problem

Mitja Jančič, Gregor Kosec

We present an algorithm for -adaptive collocation-based mesh-free numerical analysis of partial differential equations. Our solution procedure follows a well-established iterat…

math.NA2022

A Meshless Solution of a Small-Strain Plasticity Problem

Filip Strniša, Mitja Jančič, Gregor Kosec

When the deformations of a solid body are sufficiently large, parts of the body undergo a permanent deformation commonly refereed to as plastic deformation. Several plasticity mode…

math.NA2022★ 1 cited

Implicit-Explicit Error Indicator based on Approximation Order

Mitja Jančič, Filip Strniša, Gregor Kosec

With the immense computing power at our disposal, the numerical solution of partial differential equations (PDEs) is becoming a day-to-day task for modern computational scientists.…

math.NA2022

A hybrid RBF-FD and WLS mesh-free strong-form approximation method

Mitja Jančič, Gregor Kosec

Since the advent of mesh-free methods as a tool for the numerical analysis of systems of Partial Differential Equations (PDEs), many variants of differential operator approximation…

math.NA2022★ 1 cited

A sharp-interface mesoscopic model for dendritic growth

Mitja Jančič, Miha Založnik, Gregor Kosec

The grain envelope model (GEM) describes the growth of envelopes of dendritic crystal grains during solidification. Numerically the growing envelopes are usually tracked using an i…

math.NA2022★ 3 cited

Stability analysis of RBF-FD and WLS based local strong form meshless methods on scattered nodes

Mitja Jančič, Gregor Kosec

The popularity of local meshless methods in the field of numerical simulations has increased greatly in recent years. This is mainly due to the fact that they can operate on scatte…

math.NA2022★ 13 cited

Uncertainty Assessment of Dynamic Thermal Line Rating for Operational Use at Transmission System Operators

Aleksandra Rashkovska, Mitja Jančič, Matjaž Depolli +2

Transmission system operators (TSOs) in recent years have faced challenges in order to ensure maximum transmission capacity of the system to satisfy market needs, while maintaining…

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★ 1 cited

Discretized boundary surface reconstruction

Mitja Jančič, Viktor Cvrtila, Gregor Kosec

Domain discretization is an essential part of the solution procedure in numerical simulations. Meshless methods simplify the domain discretization to positioning of nodes in the in…

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.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…