Multilevel Monte Carlo Approaches for Numerical Homogenization

Yalchin R. Efendiev, Cornelia Kronsbein, Frédéric Legoll

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


In this article, we study the application of multilevel Monte Carlo (MLMC) approaches to numerical random homogenization. Our objective is to compute the expectation of some functionals of the homogenized coefficients, or of the homogenized solutions. This is accomplished within MLMC by considering different sizes of representative volumes (RVEs). Many inexpensive computations with the smallest RVE size are combined with fewer expensive computations performed on larger RVEs. Likewise, when it comes to homogenized solutions, different levels of coarse-grid meshes are used to solve the homogenized equation. We show that, by carefully selecting the number of realizations at each level, we can achieve a speed-up in the computations in comparison to a standard Monte Carlo method. Numerical results are presented for both one-dimensional and two-dimensional test-cases that illustrate the efficiency of the approach.
Original languageEnglish (US)
Pages (from-to)1107-1135
Number of pages29
JournalMultiscale Modeling & Simulation
Issue number4
StatePublished - Oct 1 2015


Dive into the research topics of 'Multilevel Monte Carlo Approaches for Numerical Homogenization'. Together they form a unique fingerprint.

Cite this