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Exact(6)

The algorithm is aimed at minimizing the numerical expense of determining the kinematic parameters (i.e. velocities and accelerations) of the mechanisms.

By minimizing the numerical dispersion, the numerical errors are reduced by an order of magnitude compared to a standard fourth-order finite-volume method.

An accurate depiction of the time evolution of a black hole magnetosphere and the global considerations germane to the IACS are intimately related to minimizing the numerical dissipation of Alfven waves.

An error analysis is made between the numerical wavenumber and the exact wavenumber, and a refined choice strategy based on minimizing the numerical dispersion is proposed for choosing weight parameters.

We present a novel strategy for minimizing the numerical dispersion error in edge discretizations of the time-domain electric vector wave equation on square meshes based on the mimetic finite difference (MFD) method.

A new Ghost Fluid Method (GFM) was developed to remove these spurious oscillations by minimizing the numerical smearing in the entropy field with the help of an Isobaric Fix technique.

Similar(53)

The best scheme of normalization is the norm-one scheme that would minimize the numerical errors.

An anti-lumped mass strategy is incorporated to minimize the numerical dispersion.

The mesh size is the same along all Cartesian axes: ∆x = ∆y = ∆z = 2 nm, which is sufficient to minimize the numerical errors arising from the FDTD method.

This also minimizes the numerical instability which would be caused by the presence of small values associated with both viscosity ratio as well as density ratio parameters.

If numerical dissipation indeed is needed to stabilize the central scheme, can the splitting help minimize the numerical dissipation compared to its un-split cousin?

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