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Ramón Alonso

dblp:250/5000 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1960
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering
numerical analysis
0.011960
A Starting Method for the Three-Point Adams Predictor-Corrector Method · J. ACM 1960
Computational science and engineering › differential equations
ordinary differential equations
0.011960
A Starting Method for the Three-Point Adams Predictor-Corrector Method · J. ACM 1960
Computational science and engineering › numerical analysis
predictor-corrector methods
0.011960
A Starting Method for the Three-Point Adams Predictor-Corrector Method · J. ACM 1960

Methods — techniques the papers use, named apart from their topics

iterative correction · 0.0adams three-point formula · 0.0
YearPublicationVenuePosition
1960 A Starting Method for the Three-Point Adams Predictor-Corrector Method
abstract
Certain higher order iterative procedures for the numerical solution of ordinary differential equations require a separate procedure for determining starting values. Such is the case in the Adams and Milne methods. The work involved in programming the computation of starting values may be of the same magnitude as that required in programming the method itself. This paper shows that the three-point Adams formula leads to a method which may be considered “self-starting” in the sense that very minor modifications of the method provide starting values of sufficient accuracy for continuing the solution. Let the equation under solution be y′ = ƒ( y, t ), and let the values y′ ( t 0 ) = y 0 ′, y′ ( t 0 + h ) = y 1′, y ( t 0 ) = y 0 , y ( t 0 + h ) = y 1, be given. The general three-point predictor-corrector process consists of estimating (in some unspecified way) a value y 2 ′ of y 2 ′ computing a first estimate y 2 by means of a closed three-point integration formula; obtaining the (presumably) better value y 2 ′ = ƒ( y 2 , t 0 + 2 h ); and then repeating the process until some convergence criterion is satisfied, either for y 2 ′ or for y 2 . The process could have started by first estimating y 2 , rather than y 2 ′. It is important to note that as long as the step size h and the first estimate y 2 ′ of y 2 ′ result in a converging process, the values to which there is convergence are independent of the method of prediction. The Adams three-point formula is y n +1 = y n + h /12[5ƒ( t n +1 , y n +1 ) + 8ƒ( t n , y n ) - ƒ( t n -1 , y n -1)]. (1) T n , the single step truncation error, is given by T n = - h 4 /24ƒ′′′( ξ ), t n -1 ≦ ξ ≦ t n +1 . The quantities y n , y ′ n +1 , y n ′, y ′ n -1 are assumed exact. Let the initial conditions y 0 ′, y 0 be specified for y ′ = ƒ( y, t ). As a first approximation, let y (0) -1 ′ = y 0 ′, y (0) +1 ′ = y 0 ′, y (0) -1 = y 0 , y (0) +1 = y 0 . The superscript zero in parentheses indicates that these are the initial estimates of y , y ′. The starting procedure consists of performing corrective iterations in the forward (+1) and backward (-1) direction as follows: y ( i ) +1 = y 0 + h /12[5ƒ( t +1 , y ( i -1) +1 ) + 8ƒ( t 0 , y 0 ) - ƒ( t -1 , y ( j ) -1 )], y ( j ) -1 = y 0 - h /12[5ƒ( t -1 , y ( j -1) -1 ) + 8ƒ( t 0 , <
Ramón Alonso
J. ACM1