1978
DOI: 10.1090/s0025-5718-1978-0464595-0
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š“-stability and dominating pairs

Abstract: It is considered whether linear combinations of A-acceptable exponential approximations preserve the ^-stability, when the coefficients of the linear combination are selected in order to achieve exponential fitting. Various pairs of exponential approximations are discussed and the satisfactory pairs are characterized.

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Cited by 6 publications
(1 citation statement)
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“…This have become feasible due to advances in the computation of matrix exponentials (see, e.g., [26], [56], [17], [12], [25]) and multiple integrals involving matrix exponentials (see, e.g., [9], [59]). Some instances of this type of integrators are the methods known as exponential fitting [47], [10], [60], [8], [33], exponential integrating factor [46], exponential integrators [27], [31], exponential time differencing [13], [45], truncated Magnus expansion [36], [5], truncated Fer expansion [61] (also named exponential of iterated commutators in [35]), exponential Runge-Kutta [28], [29], some schemes based on versions of the variation of constants formula (e.g., [50], [37], [34], [51], [19]), local linearization (see, e.g., [53], [54], [41], [42], [7]), and high order local linearization methods [14], [16], [39], [32].…”
Section: Introductionmentioning
confidence: 99%
“…This have become feasible due to advances in the computation of matrix exponentials (see, e.g., [26], [56], [17], [12], [25]) and multiple integrals involving matrix exponentials (see, e.g., [9], [59]). Some instances of this type of integrators are the methods known as exponential fitting [47], [10], [60], [8], [33], exponential integrating factor [46], exponential integrators [27], [31], exponential time differencing [13], [45], truncated Magnus expansion [36], [5], truncated Fer expansion [61] (also named exponential of iterated commutators in [35]), exponential Runge-Kutta [28], [29], some schemes based on versions of the variation of constants formula (e.g., [50], [37], [34], [51], [19]), local linearization (see, e.g., [53], [54], [41], [42], [7]), and high order local linearization methods [14], [16], [39], [32].…”
Section: Introductionmentioning
confidence: 99%