EDBT 2026 Demo / reviewers in the wild / expert
Paola Pietra
dblp:02/2365
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2000
0000-0002-5967-6983ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › technology computer-aided design › process and device simulation
discretization scheme |
0.0 | 1 | 2000 | On the interplay between meshing and discretization inthree-dimensional diffusion simulation · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2000 |
Electronic design automation › technology computer-aided design
process and device simulation |
0.0 | 1 | 2000 | On the interplay between meshing and discretization inthree-dimensional diffusion simulation · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2000 |
Computational science and engineering
partial differential equation solver |
0.0 | 1 | 2000 | On the interplay between meshing and discretization inthree-dimensional diffusion simulation · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2000 |
Methods — techniques the papers use, named apart from their topics
finite volume method · 0.1finite element method · 0.1delaunay meshing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | On the interplay between meshing and discretization inthree-dimensional diffusion simulationabstractThe maximum principle is the most important property of solutions to diffusion equations. Violation of the maximum principle by the applied discretization scheme is the cause for severe numerical instabilities: the emergence of negative concentrations and, in the nonlinear case, the deterioration of the convergence of the Newton iteration. We compare finite volumes (FV) and finite elements (FE) in three dimensions with respect to the constraints they impose on the mesh to achieve a discrete maximum principle. Distinctive mesh examples and simulations are presented to clarify the mutual relationship of the resulting constraints: Delaunay meshes guarantee a maximum principle for FV, while the recently introduced dihedral angle criterion is the natural constraint for FE. By constructing a mesh which fulfills the dihedral angle criterion but is not Delaunay we illustrate the different scope of both criteria. Due to the lack of meshing strategies tuned for the dihedral angle criterion we argue for the use of FV schemes in three-dimensional diffusion modeling. Robert Kosik, Peter Fleischmann, Bernhard Haindl, Paola Pietra, Siegfried Selberherr |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 4 |