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| | In [[mathematics]], '''minimum polynomial extrapolation''' is a [[sequence transformation]] used for [[convergence acceleration]]. |
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| | 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]]: |
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| | : <math>x_{k+1}=f(x_k).</math> |
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| | Given iterates <math>x_1, x_2, ..., x_k</math> in <math>\Bbb R^n</math>, one constructs the <math>n \times (k-1)</math> matrix <math>U=(x_2-x_1, x_3-x_2, ..., x_k-x_{k-1})</math> whose columns are the <math>k-1</math> differences. Then, one computes the vector <math>c=U^+ (x_{k+1}-x_k)</math> where <math>U^+</math> denotes the Moore–Penrose [[Moore–Penrose_pseudoinverse|pseudoinverse]] of <math>U</math>. The number 1 is then appended to the end of <math>c</math>, and the extrapolated limit is |
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| | :<math>s={ X c \over \sum_{i=1}^k c_i },</math> |
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| | where <math>X=(x_2, x_3, ..., x_{k+1})</math> is the matrix whose columns are the <math>k</math> iterates starting at 2. |
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| | The following 4 line MATLAB code segment implements the MPE algorithm: |
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| | <pre> |
| | U=x(:,2:end-1)-x(:,1:end-2); |
| | c=-pinv(U)*(x(:,end)-x(:,end-1)); |
| | c(end+1,1)=1; |
| | s=(x(:,2:end)*c)/sum(c); |
| | </pre> |
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| | [[Category:Numerical analysis]] |
| | {{mathanalysis-stub}} |
Revision as of 23:06, 7 April 2013
In mathematics, minimum polynomial extrapolation is a sequence transformation used for convergence acceleration.
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:
Given iterates 
in 
, one constructs the 
matrix 
whose columns are the 
differences. Then, one computes the vector 
where 
denotes the Moore–Penrose pseudoinverse of 
. The number 1 is then appended to the end of 
, and the extrapolated limit is
where 
is the matrix whose columns are the 
iterates starting at 2.
The following 4 line MATLAB code segment implements the MPE algorithm:
U=x(:,2:end-1)-x(:,1:end-2);
c=-pinv(U)*(x(:,end)-x(:,end-1));
c(end+1,1)=1;
s=(x(:,2:end)*c)/sum(c);
Template:Mathanalysis-stub