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Numerical upscaling of discrete network models
- Publication Year :
- 2018
-
Abstract
- In this paper a numerical multiscale method for discrete networks is presented. The method gives an accurate coarse scale representation of the full network by solving sub-network problems. The method is used to solve problems with highly varying connectivity or random network structure, showing optimal order convergence rates with respect to the mesh size of the coarse representation. Moreover, a network model for paper-based materials is presented. The numerical multiscale method is applied to solve problems governed by the presented network model.
- Subjects :
- Imagination
Random graph
Scale (ratio)
Computer Networks and Communications
Computer science
Applied Mathematics
media_common.quotation_subject
Structure (category theory)
010103 numerical & computational mathematics
Numerical Analysis (math.NA)
01 natural sciences
010101 applied mathematics
Computational Mathematics
Search engine
Convergence (routing)
FOS: Mathematics
Mathematics - Numerical Analysis
0101 mathematics
Representation (mathematics)
Algorithm
Software
Network model
media_common
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....49b017087af97d73ca384e33968e840b