articleActa NumericaApr 19, 2012GREEN OA

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.

Citation impact

598
total citations
FWCI
45.13
Percentile
100%
References
217
Citations per year

Authors

4

Topics & keywords

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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