Aggregate-functions approaches construct efficient MoM basis functions by suitably grouping standard (e.g. Rao-Wilton-Glisson, RWG) functions. The application domains, objectives and related means of achieving them can be significantly different. In this communication we review some recent advances in aggregate-functions methods. We will discuss matrix compression, multi-resolution sets, and high-frequency constructs. They can reduce the degrees of freedom of the problem so as to allow a direct, iteration-free solution, or can accelerate the convergence rate of iterative methods. They are complementary in nature, and can be combined together.
Advances in aggregate-functions MoM approaches / L. Matekovits; P. Pirinoli; F. Vipiana; F. Vico; A. Freni; G. Vecchi. - STAMPA. - (2007), pp. 576-578. (Intervento presentato al convegno International Conference on Electromagnetics in Advanced Applications, 2007. ICEAA 2007. tenutosi a Turin, Italy nel 17-21 Sept. 2007) [10.1109/ICEAA.2007.4387365].
Advances in aggregate-functions MoM approaches
FRENI, ANGELO;
2007
Abstract
Aggregate-functions approaches construct efficient MoM basis functions by suitably grouping standard (e.g. Rao-Wilton-Glisson, RWG) functions. The application domains, objectives and related means of achieving them can be significantly different. In this communication we review some recent advances in aggregate-functions methods. We will discuss matrix compression, multi-resolution sets, and high-frequency constructs. They can reduce the degrees of freedom of the problem so as to allow a direct, iteration-free solution, or can accelerate the convergence rate of iterative methods. They are complementary in nature, and can be combined together.
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