I am trying to find the nearest phase value to time intervals. This is the loop I have used. The matrix is large and I want to use parallel computing function 'parfor', but cannot due to having embedded functions within a function. I somewhat understand that they need things to be as simplistic as possible, but is there a way to fix this so that I can use 'parfor' function? I do not fully understand why the parallel processing has the limitations, so I am not exactly sure how to fix it. Any help would be greatly appreciated! for i=1:length(timeintervals(:,1)) for ii=1:length(timeintervals) [~,ix]=min(abs(timeintervals(i,ii)-phasevalues(:,2))); % find nearest location out(i,ii)=phasevalues(ix); end end
Neeta Dsouza answered .
2025-11-20
col1=phasevalues(:,1); col2=phasevalues(:,2); %as separate variable, repeated memory allocation is avoided parfor j=1:size(timeintervals,2) [~,ix]=min( abs(timeintervals(:,j).' - col2 ) ); % find nearest location out(:,j)=col1(ix); end