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Software-based representation of selected benchmark hierarchies equipped with publically available data

Authors :
Bannenberg, Marcus
Barral, Patricia
Bärmann, Andreas
Benamou, Jean-David
Bianco, Federico
Binder, Andreas
Chazareix, Guillaume
Dittmer, Sören
Comesaña, Daniel Fernández
Girfoglio, Michele
Günther, Michael
Gutiérrez Pérez, José Carlos
Hauberg-Lotte, Lena
Ijzerman, Wilbert
Jadhav, Onkar
Kluth, Tobias
Lengomin, Alejandro
Maass, Peter
Marconi, Gianfranco
Martin, Alexander
Martinolli, Marco
Mehrmann, Volker
Monticone, Pier Paolo
Morelli, Umberto
Nayak, Ashwin
Obereder, Andreas
Otero Baguer, Daniel
Polverelli, Luc
Prieto, Andrés
Quintela, Peregrina
Ramlau, Ronny
Riccardo, Conte
Rozza, Gianluigi
Rukhaia, Giorgi
Shah, Nirav
Stabile, Giovanni
Stadler, Bernadett
Staszek, Jonasz
Vergara, Christian
Publication Year :
2020
Publisher :
Zenodo, 2020.

Abstract

Based on the multitude of industrial applications, benchmarks for model hierarchies will be created that will form a basis for the interdisciplinary research and for the training programme. These will be equipped with publically available data and will be used for training in modelling, model testing, reduced order modelling, error estimation, efficiency optimization in algorithmic approaches, and testing of the generated MSO/MOR software. The present document includes a detailed description of the computer implementation of these benchmarks involving not only the required publically available data but also the used software packages, libraries and any other relevant information, which guarantee a fully reproducibility of the reported numerical results. The present document has been structured in three main parts to distinguish those contributions which are focused on coupling methods, model order reduction methods, and optimization methods.<br />Project Deliverable (D5.2), Version 2.0

Subjects

Subjects :
Benchmarks, Model hierarchies

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....311abdf43f1ba0f6787dec22e4722d58
Full Text :
https://doi.org/10.5281/zenodo.3888145