+1
Thanks
Accumulation of double precision vector
Quadruple precision floating-point accumulation of a double precision vector p is emulated numerically in Matlab:
function t = orosumvec(p, recurs) x = cumsum(p); z = x - p; u = (z - x) + p; v = [0 x(1:end-1)] - z; if ~recurs t = sum([u v x(end)]); else t = orosumvec([u v x(end)], 0); end end
This is verified by Advanpix Multiprecision Toolbox.
Matlab's built-in variable precision arithmetic, vpa() from Mathworks Symbolic Math Toolbox,
produces erroneous results in 2018. One recursive call is necessary and sufficient.
Служба підтримки клієнтів працює на UserEcho
Thank you very much for the report!
Could you please provide full example, so that other people can easily copy and reproduce the situation?
If you want, we can add this example to the VPA vs. MCT comparison here:
Symbolic Math Toolbox (VPA) vs. Multiprecision Computing Toolbox
We will also include backlink to your page, of course.