PageRank
From Wikimization
(Difference between revisions)
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=== links === | === links === | ||
| + | [http://www.google.com/books?id=FJyBjjtHREQC&dq=Accuracy+and+Stability+of+Numerical+Algorithms&printsec=frontcover&source=bn#PPA92,M1 Accuracy and Stability of Numerical Algorithms, Higham, 1996] | ||
| + | |||
For multiplier error feedback, see: | For multiplier error feedback, see: | ||
Revision as of 15:00, 3 March 2009
function s_hat=csum(x)
% CSUM Sum of elements using a compensated summation algorithm
%
% For large vectors, the native sum command in Matlab does
% not appear to use a compensated summation algorithm which
% can cause significant roundoff errors.
%
% This code implements a variant of Kahan's compensated
% summation algorithm which often takes about twice as long,
% but produces more accurate sums when the number of
% elements is large.
%
% See also SUM
%
% Example:
% v=rand(1e7,1);
% sum1 = sum(v);
% sum2 = csum(v);
% fprintf('sum1 = %18.16e\nsum2 = %18.16e\n', sum1, sum2);
% David Gleich, Stanford University, 2008
s_hat=0; y=0; e=0;
for i=1:numel(x)
s_hat_old = s_hat;
y = x(i) + e;
s_hat = s_hat_old + y;
e = s_hat_old - s_hat + y;
end
links
Accuracy and Stability of Numerical Algorithms, Higham, 1996
For multiplier error feedback, see:
Implementation of Recursive Digital Filters for High-Fidelity Audio
