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Showing 1 to 3 of 3 for “"Dimensional splitting"”.

  1. A dimensionally split Cartesian cut cell method for Computational Fluid Dynamics

    We present a novel dimensionally split Cartesian cut cell method to compute inviscid, viscous and turbulent flows around rigid geometries. On a cut cell mesh, the existence of arbitrarily small boundary cells severely restricts the stable time step for an explicit numerical scheme. We solve this …

    cambridge Repository record for A dimensionally split Cartesian cut cell method for Computational Fluid Dynamics (opens in a new tab)

  2. Speeding up high-order algorithms in computational fluid and kinetic dynamics: based on characteristics tracing and low-rank structures

    … discretization methods suffer from the curse of dimensionality, that is, the computational cost grows exponentially as the number of dimensions increases. Second, shock formations and sharp gradient structures that develop in certain PDEs of interest are challenging to capture due to the Gibbs …

    udel Repository record for Speeding up high-order algorithms in computational fluid and kinetic dynamics: based on characteristics tracing and low-rank structures (opens in a new tab)

  3. Anisotropic variational models and PDEs for inverse imaging problems

    … based on alternate directions and operator splitting techniques. We study their scale-space properties and show their efficiency in processing large images. Moreover, we generalise the osmosis equation to accommodate suitable directional information: this modification turns out to be useful …

    cambridge Repository record for Anisotropic variational models and PDEs for inverse imaging problems (opens in a new tab)