In this paper, we develop the extit{Runge-Kutta generalized convolution quadrature} (gCQ) with variable time stepping for the numerical solution of convolution equations for time and space-time problems and present the corresponding stability and convergence analysis. For this purpose, some new theoretical tools such as extit{tensorial divided differences}, summation by parts with extit{Runge-Kutta differences} and a calculus for Runge-Kutta discretizations of generalized convolution operators such as an associativity property will be developed in this paper. Numerical examples will illustrate the stable and efficient behavior of the resulting discretization.
Generalized convolution quadrature based on Runge-Kutta methods / LOPEZ FERNANDEZ, Maria; Sauter, S.. - In: NUMERISCHE MATHEMATIK. - ISSN 0029-599X. - STAMPA. - 133:4(2016), pp. 743-779. [10.1007/s00211-015-0761-2]
Generalized convolution quadrature based on Runge-Kutta methods
LOPEZ FERNANDEZ, MARIA
;
2016
Abstract
In this paper, we develop the extit{Runge-Kutta generalized convolution quadrature} (gCQ) with variable time stepping for the numerical solution of convolution equations for time and space-time problems and present the corresponding stability and convergence analysis. For this purpose, some new theoretical tools such as extit{tensorial divided differences}, summation by parts with extit{Runge-Kutta differences} and a calculus for Runge-Kutta discretizations of generalized convolution operators such as an associativity property will be developed in this paper. Numerical examples will illustrate the stable and efficient behavior of the resulting discretization.File | Dimensione | Formato | |
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Lopez-Fernandez_Generalized-convolution_2016.pdf
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Note: The final publication is available at https://link.springer.com/article/10.1007/s00211-015-0761-2
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