activity
20192022
most citedManifold-based B-splines on unstructured meshes

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

collaborators

5 papers

math.NA20221 cited

Locally refined quad meshing for linear elasticity problems based on convolutional neural networks

Chiu Ling Chan, Felix Scholz, Thomas Takacs

In this paper we propose a method to generate suitably refined finite element meshes using neural networks. As a model problem we consider a linear elasticity problem on a planar d…

math.NA2021

Construction of approximate bases for isogeometric analysis on two-patch domains

Pascal Weinmüller, Thomas Takacs

In this paper, we develop and study approximately smooth basis constructions for isogeometric analysis over two-patch domains. One key element of isogeometric analysis is that it a…

math.NA2020

A family of quadrilateral finite elements

Mario Kapl, Giancarlo Sangalli, Thomas Takacs

We present a novel family of quadrilateral finite elements, which define global spaces over a general quadrilateral mesh with vertices of arbitrary valency. The element…

math.NA2020

A super-smooth spline space over planar mixed triangle and quadrilateral meshes

Jan Grošelj, Mario Kapl, Marjeta Knez +2

In this paper we introduce a spline space over mixed meshes composed of triangles and quadrilaterals, suitable for FEM-based or isogeometric analysis. In this context, a mesh…

math.NA20191 cited

Manifold-based B-splines on unstructured meshes

Qiaoling Zhang, Thomas Takacs, Fehmi Cirak

We introduce new manifold-based splines that are able to exactly reproduce B-splines on unstructured surface meshes. Such splines can be used in isogeometric analysis (IGA) to repr…