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Título: =A Convergence Acceleration Method for Some Logarithmically Convergent Sequences
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Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Osada, Naoki
Título: A Convergence Acceleration Method for Some Logarithmically Convergent Sequences
Páginas/Colación: pp. 178-188
Url: Ir a http://locus.siam.org/SINUM/volume-27/art_0727012.htmlhttp://locus.siam.org/SINUM/volume-27/art_0727012.html
Siam Journal on Numerical Analysis Vol. 27, no. 1 February 1990
Información de existenciaInformación de existencia

Palabras Claves: Palabras: ACCELERATION OF CONVERGENCE ACCELERATION OF CONVERGENCE, Palabras: ERROR ESTIMATES ERROR ESTIMATES, Palabras: EXTRAPOLATION EXTRAPOLATION, Palabras: LOGARITHMICALLY CONVERGENT SEQUENCE LOGARITHMICALLY CONVERGENT SEQUENCE, Palabras: SUMMATION OF SERIES SUMMATION OF SERIES

Resumen
RESUMEN

RESUMEN

A convergence acceleration method with one parameter for a sequence {Sn} satisfying

Sn ~  S + nθ (c0 +c1/n + c2/ n2 + ... ) as n → ∞,

is proposed. When the parameter is equal to - 1, the method agrees with Wynn’s ρ -algorithm. Hence the method is designated as a generalized ρ –algorithm. When Sn is the nth partial sum of a series whose nth term is asymptotic to An0 - 1, where θ is negative, the generalized ρ –algorithm with parameter θ agrees essentially with the modified Wynn’s ρ –algorithm taken up by Drummond. Error estimates and numerical examples of the generalized ρ –algorithm with parameter θ are given.

The exponent θ in the expansion above can be estimated using the generalized ρ –algorithm with parameter -2. In practice, by estimating the exponent θ , the generalized ρ –algorithm can be automatically applied to the sequence. This scheme is illustrated by numerical examples.

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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