C. F. Borges

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We introduce a method for constructing an element-by-element sparse approximate inverse (SAI) preconditioner designed to be effective in a massively-parallel spectral element modeling environment involving non-symmetric systems. This new preconditioning approach is based on a spectral optimization of a low-resolution pre-conditioned system matrix (PSM). We(More)
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