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Anna Paszynska

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • math.NA2

identity via Semantic Scholar / OpenAlex

most citedDeep neural networks for smooth approximation of physics with higher order and continuity B-spline base functions

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CE2026

Wildfires Quasi-Implicit Alternative-Direction Simulations using Isogeometric Finite Element Method

Juliusz Wasieleski, Tomasz Służalec, Maciej Woźniak +7

We develop a wildfire simulation model that evolves the temperature scalar field using an energy balance equation accounting for heat generation, transport, and loss. For these equ…

math.NA2024

Graph grammars and Physics Informed Neural Networks for simulating of pollution propagation on Spitzbergen

Maciej Sikora, Albert Oliver-Serra, Leszek Siwik +6

In this paper, we present two computational methods for performing simulations of pollution propagation described by advection-diffusion equations. The first method employs graph g…

math.NA2022★ 1 cited

Deep neural networks for smooth approximation of physics with higher order and continuity B-spline base functions

Kamil Doległo, Anna Paszyńska, Maciej Paszyński +1

This paper deals with the following important research question. Traditionally, the neural network employs non-linear activation functions concatenated with linear operators to app…

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