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Contrast independent localization of multiscale problems
- Publication Year :
- 2016
- Publisher :
- arXiv, 2016.
-
Abstract
- The accuracy of many multiscale methods based on localized computations suffers from high contrast coefficients since the localization error generally depends on the contrast. We study a class of methods based on the variational multiscale method, where the range and kernel of a quasi-interpolation operator de fines the method. We present a novel interpolation operator for two-valued coefficients and prove that it yields contrast independent localization error under physically justified assumptions on the geometry of inclusions and channel structures in the coefficient. The idea developed in the paper can be transferred to more general operators and our numerical experiments show that the contrast independent localization property follows.
- Subjects :
- Channel (digital image)
Property (programming)
Ecological Modeling
Computation
Mathematical analysis
General Physics and Astronomy
Contrast (statistics)
Computational mathematics
010103 numerical & computational mathematics
General Chemistry
Numerical Analysis (math.NA)
01 natural sciences
Computer Science Applications
010101 applied mathematics
Range (mathematics)
Operator (computer programming)
Kernel (image processing)
Modeling and Simulation
FOS: Mathematics
Applied mathematics
35J15, 65N12, 65N15, 65N30
Mathematics - Numerical Analysis
0101 mathematics
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....122eae54246ef614a10c9644f1508c27
- Full Text :
- https://doi.org/10.48550/arxiv.1610.07398