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arxiv: 1509.01258 · v1 · pith:E4RK2GNMnew · submitted 2015-09-03 · 🧮 math.NA · cs.NA· math.PR

Special Quasirandom Structures: a selection approach for stochastic homogenization

classification 🧮 math.NA cs.NAmath.PR
keywords approachphysicalreviewhomogenizationsettingsomeadaptasymptotically
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We adapt and study a variance reduction approach for the homogenization of elliptic equations in divergence form. The approach, borrowed from atomistic simulations and solid-state science [von Pezold et al, Physical Review B 2010; Wei et al, Physical Review B 1990; Zunger et al, Physical Review Letters 1990], consists in selecting random realizations that best satisfy some statistical properties (such as the volume fraction of each phase in a composite material) usually only obtained asymptotically. We study the approach theoretically in some simplified settings (one-dimensional setting, perturbative setting in higher dimensions), and numerically demonstrate its efficiency in more general cases.

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