LEGO:linear embedding via Green's operators

Water, A.M. van de; de, van

doi:10.6100/ir630251

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Computational Techniques for Antenna Engineering

Tijhuis

Beurden

Hon

2008

2008 38th European Microwave Conference

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Abstract-In this paper, a two-stage approach is proposed for using computational electromagnetics in antenna engineering. First, stochastic optimization techniques are used in combination with approximate models. Second, line-search techniques are combined with full-wave modeling. The second stage is considered in detail; both the acceleration of the underlying field computations and the implementation of the optimization are discussed.

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Computational Techniques for Antenna Engineering

Tijhuis

Beurden

Hon

2008

2008 38th European Microwave Conference

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Extracting Surface Macro Basis Functions From Low-Rank Scattering Operators With the Aca Algorithm

Lancellotti

2016

PIER M

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Abstract-The Adaptive Cross Approximation (ACA) algorithm has been used to compress the rankdeficient sub-blocks of the matrices that arise in the numerical solution of integral equations (IEs) with the Method of Moments. In the context of the linear embedding via Green's operator (LEGO) method -a domain decomposition technique based on IEs -an electromagnetic problem is modelled by combining "bricks" in turn described by scattering operators which, in many situations, are singular. As a result, macro basis functions defined on the boundary of a brick can be generated by applying the ACA to a scattering operator. Said functions allow compressing the weak form of the LEGO functional equations which then use up less computer memory and are faster to invert.

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LEGO:linear embedding via Green's operators

Cited by 2 publications

References 0 publications

Computational Techniques for Antenna Engineering

Computational Techniques for Antenna Engineering

Extracting Surface Macro Basis Functions From Low-Rank Scattering Operators With the Aca Algorithm

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