2017
DOI: 10.3846/13926292.2017.1269024
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Construction of Nordsieck Second Derivative General Linear Methods With Inherent Quadratic Stability

Abstract: Abstract. This paper describes the construction of second derivative general linear methods in Nordsieck form with stability properties determined by quadratic stability functions. This is achieved by imposing the so-called inherent quadratic stability conditions. After satisfying order and inherent quadratic stability conditions, the remaining free parameters are used to find the methods with L-stable property. Examples of methods with p = q = s = r − 1 up to order four are given.Keywords: stiff differential … Show more

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Cited by 7 publications
(3 citation statements)
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“…, r − 3, respectively. However, the task is too complicated for the methods with large numbers of s and r. Nevertheless, some interrelationships among the coefficients matrices of the method have been obtained which are sufficient conditions to possess RKS [34] or QS [35]. These interrelationships are respectively referred to as IRKS or IQS conditions.…”
Section: Sirks and Siqs With Large Region Of Absolute Stabilitymentioning
confidence: 99%
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“…, r − 3, respectively. However, the task is too complicated for the methods with large numbers of s and r. Nevertheless, some interrelationships among the coefficients matrices of the method have been obtained which are sufficient conditions to possess RKS [34] or QS [35]. These interrelationships are respectively referred to as IRKS or IQS conditions.…”
Section: Sirks and Siqs With Large Region Of Absolute Stabilitymentioning
confidence: 99%
“…Due to the benefits of the class of second derivative methods [21, 22, 27, 28], to obtain methods with high order accuracy and good stability properties, GLMs were extended to second derivative general linear methods (SGLMs) by Butcher and Hojjati [17]. This large family of methods has been widely analysed and successfully implemented on various time-dependent problems [17, 34, 35]. These methods are characterized by p and q respectively as the order and stage order, r as the number of external stages, s as the number of internal stages, the abscissa vector and the coefficients matrices SGLMs, on the uniform grid , , with h as the stepsize and , take the following form: with g as the second derivative of the solution given by .…”
Section: Introductionmentioning
confidence: 99%
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