2008
DOI: 10.1134/s1028335808030117
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An averaging algorithm for solving elliptic problems with discontinuous coefficients

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Cited by 4 publications
(2 citation statements)
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“…To fix the idea, we assume that the reference fine grid operator A is obtained via second-order finite-differences or finite element discretization. In general, such methods do not require to have a grid conforming to the medium discontinuities and allow (sometimes with some loss of convergence order) to use different homogenization and error correction techniques to handle curvilinear interfaces, e.g., [31,34,25]. However, they require many of degrees of freedom per wavelength for accurate enough approximation.…”
mentioning
confidence: 99%
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“…To fix the idea, we assume that the reference fine grid operator A is obtained via second-order finite-differences or finite element discretization. In general, such methods do not require to have a grid conforming to the medium discontinuities and allow (sometimes with some loss of convergence order) to use different homogenization and error correction techniques to handle curvilinear interfaces, e.g., [31,34,25]. However, they require many of degrees of freedom per wavelength for accurate enough approximation.…”
mentioning
confidence: 99%
“…Conventional multi-scale (MS) approaches are targeted to applications where the discretization of spatial operators has to be performed over large-scale domain with multiple small-scale heterogeneities and where accurate approximation of fine-scale effects is not required. Variations of MS methods include MS finite elements, or superelements [15,16,22,3], MS finite volume [23] as well as averaging algorithms [31,34]. MS methods allow to capture small-scale effects of the composite media on medium-scale computational grid (so-called coarse grid).…”
mentioning
confidence: 99%