2007
DOI: 10.1007/s00211-007-0107-9
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Runge–Kutta convolution quadrature methods for well-posed equations with memory

Abstract: Runge-Kutta based convolution quadrature methods for abstract, well-posed, linear, and homogeneous Volterra equations, non necessarily of sectorial type, are developed. A general representation of the numerical solution in terms of the continuous one is given. The error and stability analysis is based on this representation, which, for the particular case of the backward Euler method, also shows that the numerical solution inherits some interesting qualitative properties, such as positivity, of the exact solut… Show more

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Cited by 35 publications
(31 citation statements)
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“…We only have to change the constants in (5), that depend on these coefficients and translate their influence to all other constants in the Lemma.…”
Section: Bounds In the Resolvent Setmentioning
confidence: 99%
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“…We only have to change the constants in (5), that depend on these coefficients and translate their influence to all other constants in the Lemma.…”
Section: Bounds In the Resolvent Setmentioning
confidence: 99%
“…We are just going to explain here the scalar-valued schemes, associated to multistep methods. For RK-based methods, we refer the reader to the original article [29], to the more recent [5] and, in the context of waves and integral equations, to [23].…”
Section: Appendix 1: Convolution Quadraturementioning
confidence: 99%
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“…For BDF-2 we have γ (z) = 3/2 − 2z + z 2 /2. For Runge-Kutta method applied instead of linear multistep method we obtain (based on [5][6][7]):…”
Section: -P2mentioning
confidence: 99%