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With such applications in mind, we propose a new Eulerian computational geometrical-optics method, dubbed the fast Huygens sweeping method, for computing Green functions of Helmholtz equations in inhomogeneous media in the high-frequency regime and in the presence of caustics.
Chinese brainpower has made big strides in fields like computing, green technology and space flight.
Green cloud computing: Green cloud computing demands divergence from conventional computing techniques, hence, increased operational and infrastructural costs.
The purpose of this study is to present an automated method of computing Green and Ampt parameters using digital soil and land use data.
Studies were performed with data that compare this automated method with another non-automated method of computing Green and Ampt parameters.
We recommend readers to visit Alberto Cabada's webpage where a very useful program for computing Green's functions can be downloaded [4].
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In order to extend hybrid schemes to more general geometries, we develop here a robust, semi-analytical computational method to compute Green's functions for more general geometries in both 2D and 3D.
In particular, the use of fast Fourier transforms to compute Green's function convolutions required for neighboring interactions lowers the often-significant cost of finest-level FMM computations and helps mitigate the dependence of FMM cost on finest-level box size.
This naturally provides a way of computing this Green function from the Neumann-to-Dirichlet map.
Different FD schemes are obtained depending on the numerical scheme used for computing the Green's integral over each subdomain.
This is quite difficult when computing the Green's functions since, in this case, we could have one, many, or no solutions of our original problem [16].
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