Title :
A convergence acceleration procedure for computing slowly converging series
Author :
Singh, Surendra ; Singh, Ritu
Author_Institution :
Dept. of Electr. Eng., Tulsa Univ., OK, USA
fDate :
1/1/1992 12:00:00 AM
Abstract :
The application of shaped θ-algorithm to the partial sums of a slowly converging series is shown to accelerate its convergence. The algorithm is applied to accelerate the convergence of a series representing the free-space periodic Green´s functions involving the zeroth-order Hankel function of the second kind, and its associated Fourier transform. Numerical results indicate that the algorithm converges faster than Shanks´ transform. It is also able to sum the series to machine precision in about 20 terms. A relative error measure is shown as a function of the number of terms of various combinations of source and observation points. The relative savings in computation time is also provided to show the benefit of using the algorithm
Keywords :
Green´s function methods; convergence of numerical methods; series (mathematics); Fourier transform; convergence acceleration procedure; free-space periodic Green´s functions; partial sums; relative error measure; shaped &thetas;-algorithm; slowly converging series; zeroth-order Hankel function; Acceleration; Convergence; Fourier transforms; Green´s function methods; Microwave theory and techniques; Phased arrays;
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on