Minimum polynomial extrapolation
In mathematics, minimum polynomial extrapolation is a sequence transformation used for convergence acceleration of vector sequences, due to Sabay and Jackson. While Aitken's method is the most famous, it often fails for vector sequences. An effective method for vector sequences is the minimum polynomial extrapolation. It is usually phrased in terms of the fixed point iteration: where is the matrix whose columns are the iterates starting at 2. The following 4 line MATLAB code segment implements the MPE algorithm:
Wikipage disambiguates
Link from a Wikipage to another Wikipage
primaryTopic
Minimum polynomial extrapolation
In mathematics, minimum polynomial extrapolation is a sequence transformation used for convergence acceleration of vector sequences, due to Sabay and Jackson. While Aitken's method is the most famous, it often fails for vector sequences. An effective method for vector sequences is the minimum polynomial extrapolation. It is usually phrased in terms of the fixed point iteration: where is the matrix whose columns are the iterates starting at 2. The following 4 line MATLAB code segment implements the MPE algorithm:
has abstract
In mathematics, minimum polyno ...... = (x(:, 2:end) * c) / sum(c);
@en
Wikipage page ID
17,736,482
page length (characters) of wiki page
Wikipage revision ID
969,424,607
Link from a Wikipage to another Wikipage
wikiPageUsesTemplate
comment
In mathematics, minimum polyno ...... implements the MPE algorithm:
@en
label
Minimum polynomial extrapolation
@en