fzero system of non linear equations
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Hi
I am trying to solve a system of non linear equations, which is embedded in a function run by a ODE solver. At the current point I am doing it by a for loop, however the computation time is really high (around real time of 10+ hour dynamic simulations), so I would like to bring it down. I've found this step to be very time consuming
For the current simulations par.NT = 13, size(ics) = [13,3], size(xn) = [13,2], size(par.Tb) = [1,2] and I do initialize the variables TB and y. yfun is a function which is called (which calls various other functions)
for n = 1:par.NT
TB(n)=fzero(@(T) sum(yfun(ics,T,par,n))-1,sum(xn(n,:).*par.Tb));
y(n,:) = yfun(ics,TB(n),par,n);
end
Do you have any tips on making this faster? I have been trying to vectorize the loop in various ways, use arrayfun, fsolve... but I can't seem to increase the speed. I do submit my code to HPC clusters. Using parfor decreases the speed drastically.
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回答 (1 件)
Prashant Arora
2017 年 7 月 18 日
Hi Bastian,
Which part of the for loop is more expensive? Have you tried profiling the yfun function? I believe it takes a structure argument, which can sometimes increase computation time to get fields.
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