1973
DOI: 10.1007/bf01951938
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High order stiffly stable composite multistep methods for numerical integration of stiff differential equations

Abstract: Abstract.Let y =f (y,t) with y(to) =Y0 possess a solution y(t) for t~to. Set t~ =to +nh, n = 1, 2 ...... Let Yo denote the approximate solution of y(tn) defined by the composite multistep methodwith .//n--f(yn,tn) and _N = 1,2 ...... It is conjectured that the method is stiffly stable with order p=l for all l:>l and shown to be so for l= 1 ..... 25. The method is intrinsically efficient in that l future approximate solution values are established simultaneously in an iterative solution process with only one f… Show more

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Cited by 19 publications
(11 citation statements)
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“…Finally, consider the 2-block one step method as proposed in Watts and Shampine [14] In the special cases when Mi = 3/4 and p2 = 0, we have the second-order method described in [1], while for pl = 0, p2 = 1, (4.4) is the fourth-order Newton-Cotes method studied in [14]. Since 0 < p., p2 < 1 and Mi + M2 ^ 1 m both cases, the corresponding methods are A -stable.…”
Section: Applications the Purpose Of This Section Is To Briefly Illumentioning
confidence: 99%
“…Finally, consider the 2-block one step method as proposed in Watts and Shampine [14] In the special cases when Mi = 3/4 and p2 = 0, we have the second-order method described in [1], while for pl = 0, p2 = 1, (4.4) is the fourth-order Newton-Cotes method studied in [14]. Since 0 < p., p2 < 1 and Mi + M2 ^ 1 m both cases, the corresponding methods are A -stable.…”
Section: Applications the Purpose Of This Section Is To Briefly Illumentioning
confidence: 99%
“…Several attempts have been made to reduce the linear algebra costs associated with implicit RKFs. The earliest successful approach was by Bickart and Picel [1973]. (Although their approach was applied to composite multistep formulas, it is equally applicable to implicit RKFs.)…”
Section: One-step Methodsmentioning
confidence: 99%
“…)r/+ do (7) • t See also the references cited in [1][2][3][4][5][6][7][8][9][10][11] and the sources citing [11]. t* As a matter of convenience, the polynomial Dss.s.y(r/) is derived from the polynomial -P(-2, cx~), not P(-2,~,).…”
Section: Appendixmentioning
confidence: 99%