An Analysis on Some Algorithms of Fast Runge-Kutta Convolution Quadrature

Efficient Numerical Solution for Time-Domain Boundary Integral Equations with Retarded Potentials using Fast Runge-Kutta Convolution Quadrature

Authors

  • Seema Rani
  • Ashwani Kumar

Keywords:

algorithms, fast Runge-Kutta convolution quadrature, numerical solution, time-domain boundary integral equations, retarded potentials, acoustic scattering, electromagnetic scattering, convolutional form, discretize, recursive algorithm, matrices, near-field, far-field, three-dimensional wave scattering problem, asymptotically almost linear complexity, numerical experiments

Abstract

This work addresses the question of the efficient numerical solution of time-domain boundary integral equations with retarded potentials arising in the problems of acoustic and electromagnetic scattering. The convolutional form of the time-domain boundary operators allows to discretize them with the help of Runge-Kutta convolution quadrature. In the work it is shown how this property can be used in the recursive algorithm to construct only a few matrices with the near-field, while for the rest of the matrices the far-field only is assembled. The resulting method allows to solve the three-dimensional wave scattering problem with asymptotically almost linear complexity. The efficiency of the approach is confirmed by extensive numerical experiments.

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Published

2017-04-01

How to Cite

[1]
“An Analysis on Some Algorithms of Fast Runge-Kutta Convolution Quadrature: Efficient Numerical Solution for Time-Domain Boundary Integral Equations with Retarded Potentials using Fast Runge-Kutta Convolution Quadrature”, JASRAE, vol. 13, no. 1, pp. 334–340, Apr. 2017, Accessed: Jul. 23, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/6558

How to Cite

[1]
“An Analysis on Some Algorithms of Fast Runge-Kutta Convolution Quadrature: Efficient Numerical Solution for Time-Domain Boundary Integral Equations with Retarded Potentials using Fast Runge-Kutta Convolution Quadrature”, JASRAE, vol. 13, no. 1, pp. 334–340, Apr. 2017, Accessed: Jul. 23, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/6558