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Metaheuristics is a class of approximate methods based on heuristics that can effectively handle real world (usually NP-hard) problems of high-dimensionality with multiple objectives.
Moment methods are an important class of approximate models derived from kinetic equations, but require closure to truncate the moment set.
In 1D, LeVeque and Pelanti [R.J. LeVeque, M. Pelanti, A class of approximate Riemann solvers and their relation to relaxation schemes, J. Comput. Phys.
This paper extends a class of approximate Riemann solvers devised by Harten, Lax and van Leer (HLL) for Euler equations of hydrodynamics to magneto-hydrodynamics (MHD) equations.
Based on this observation, a more general class of approximate Riemann solvers is proposed which allows as many as 2m waves in the resulting solution.
We propose a new class of approximate local DtN boundary conditions to be applied on prolate spheroidal-shaped exterior boundaries when solving problems of acoustic scattering by elongated obstacles.
Similar(48)
The key idea of the variational approximation is to restrict the class of approximating distributions q.
Subsequently, the linear difference inclusion (LDI) representation is established for this class of approximating MNN.
Now we introduce a class of approximating identities as follows.
The class (( Delta_{beta }^{tilde{beta }}, ast^{alpha } ) ) forms a class of approximating identities.
We claim that (Delta_{beta }^{tilde{beta }}) with the convolution product (ast^{alpha }) represents a class of approximating identities.
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