Publisher URL: https://www.scitepress.org/Papers/2022/112731/112731.pdf
Publisher DOI: 10.5220/0011273100003274
Title: Reduced CP representation of multilinear models
Language: English
Authors: Jöres, Niklas 
Kaufmann, Christoph 
Schnelle, Leona 
Cateriano Yáñez, Carlos 
Pangalos, Georg 
Lichtenberg, Gerwald  
Editor: Wagner, Gerd 
Werner, Frank 
De Rango, Floriano 
Keywords: Multilinear Systems;Tensor Decomposition
Issue Date: 2022
Publisher: SciTePress
Part of Series: Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2022) 
Startpage: 252
Endpage: 259
Conference: International Conference on Simulation and Modeling Methodologies, Technologies and Applications 2022 
Abstract: 
Large and highly complex systems can be found in various application areas. Modeling these systems requires appropriate representation of the underlying phenomena. Furthermore, due to the large dimensions efficient simulation and low memory requirements are needed for such models. Multilinear modeling is a promising approach to address these challenges. In this paper, we introduce a reduced canonical polyadic (CP) representation for implicit time-invariant multilinear (iMTI) models. This representation is capable of storing large models with very low memory requirements. This is particularly useful for efficient analyses of large systems with numerous inputs and states.
URI: http://hdl.handle.net/20.500.12738/13234
ISBN: 978-989-758-578-4
ISSN: 2184-2841
Institute: Fakultät Life Sciences 
Department Medizintechnik 
Type: Chapter/Article (Proceedings)
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