
AbstractThis paper presents a spectral multidomain algorithm based on the influence matrix technique. This algorithm leads to a direct method without any iterative process. We show that domain decomposition allows us to use efficiently spectral approximations for the computation of problems exhibiting a singular solution or a complex geometric configuration.
domain decomposition, Spectral methods applied to problems in fluid mechanics, Stokes problem, influence matrix technique, rotating channel-cavity systems, direct method, singular solution, Stokes and related (Oseen, etc.) flows
domain decomposition, Spectral methods applied to problems in fluid mechanics, Stokes problem, influence matrix technique, rotating channel-cavity systems, direct method, singular solution, Stokes and related (Oseen, etc.) flows
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