The heterogeneous multiscale method
École Polytechnique Fédérale de Lausanne · Princeton University · +4 more institutions
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Abstract
The heterogeneous multiscale method (HMM), a general framework for designing multiscale algorithms, is reviewed. Emphasis is given to the error analysis that comes naturally with the framework. Examples of finite element and finite difference HMM are presented. Applications to dynamical systems and stochastic simulation algorithms with multiple time scales, spall fracture and heat conduction in microprocessors are discussed.
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598
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- FWCI
- 45.13
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Authors
4Topics & keywords
Topics
Keywords
- Computer science
- Finite element method
- Multiscale modeling
- Hidden Markov model
- Algorithm
- Artificial intelligence
- Physics
- Bioinformatics
UN Sustainable Development Goals
- Affordable and clean energy
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