PageRank
From Wikimization
(Difference between revisions)
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q<sub>i</sub> represents error due to quantization (additive by definition). -Jon Dattorro]] | q<sub>i</sub> represents error due to quantization (additive by definition). -Jon Dattorro]] | ||
<pre> | <pre> | ||
| - | function | + | function s_hat=csum(x) |
% CSUM Sum of elements using a compensated summation algorithm | % CSUM Sum of elements using a compensated summation algorithm | ||
% | % | ||
Revision as of 17:32, 18 February 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
