1984
DOI: 10.1016/0377-0427(84)90066-9
|View full text |Cite
|
Sign up to set email alerts
|

Families of methods for ordinary differential equations based on trigonometric polynomials

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
17
0
1

Year Published

1984
1984
2022
2022

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 38 publications
(18 citation statements)
references
References 5 publications
0
17
0
1
Order By: Relevance
“…' (h Ht> y (t n> • < 6 » Insertina (4) in (6) [13] developed Nystrom and generalized Milne-Simpson type methods. These methods showed less sensitivity to perturbation in w" but require the eigenvalues of the Jacobian to be purely imaainary.…”
Section: Distribution Statement (Of Thla Rapott)mentioning
confidence: 99%
See 1 more Smart Citation
“…' (h Ht> y (t n> • < 6 » Insertina (4) in (6) [13] developed Nystrom and generalized Milne-Simpson type methods. These methods showed less sensitivity to perturbation in w" but require the eigenvalues of the Jacobian to be purely imaainary.…”
Section: Distribution Statement (Of Thla Rapott)mentioning
confidence: 99%
“…PROJECT, TASK AREA 4 WORK UNIT NUMBERS II. CONTROLLING OFFICE NAME AND ADDRESS 12. REPORT DATE September 1986 14. MONITORING AGENCY NAME ft ADDRESSf// different from Controlling Office) 13.…”
mentioning
confidence: 99%
“…Gautschi, 1961;Neta & Ford, 1984) y(t) + ( 100 + 4:2) y(t) = 0, 1 ::::; t ::::; 10, with the initial values according to the "almost" periodic particular solution…”
Section: Uncertainty In the Periodicitymentioning
confidence: 99%
“…This unfavourable property of the Gautschi methods (which are of Adams type, i.e. p(() = (k-(k-1 ) motivated Neta & Ford (1984) to propose methods of . These methods, however, although demonstrating a less sensitive behaviour if the value of w 0 is perturbed, are rather sensitive to non-imaginary noise (cf.…”
Section: Introductionmentioning
confidence: 99%
“…Special methods based on a-priori knowledge of the frequency were developed by Bettis [3], Steifel and Bettis [22], Gautschi [10], Neta and Ford [17], Neta [19], van der Houwen and Sommeijer [12], Lyche [14] and Sommeijer et al [21].…”
mentioning
confidence: 99%