On the use of high-frequency asymptotic concepts for the development of efficient adaptive numerical integration algorithms

The possibility of reducing the sampling point density in the numerical evaluation of radiation integrals is discussed by resorting to asymptotic high-frequency technique concepts. It is shown that the numerical evaluation of the radiation integrals becomes computationally more efficient by introducing an adaptive sampling. By this approach the number of sampling points results drastically smaller than the standard Nyquist sampling rate.