costly anonymous function declaration for solving a equation system with parameters
2 次查看(过去 30 天)
显示 更早的评论
Hi i have to solve a equation system (which is a matlab functiion)for many parameters values, so i run a loop over the parameter values, then use an anonymous function to pass the parameters to the equation system, then use fsolve to solve this anonymous function. now i understand that solving takes some time, but setting up the anonymous function takes almost the same time. why? can this be done faster?
The script looks like this
for i=1:ni
parameters= par_fun(i);
my_anon_fun = @my_fun(x)(x,parameters);
[sol fval exitflag]= fsolve(my_anon_fun,starval);
end
where my_fun is the eqauation system and par_fun give the parameter vector for the equation system. The profiler shows a lot of time spent in the line my_an_fun = @myfun(x)(x,parameters);
Thanks Dominik
1 个评论
Walter Roberson
2013-12-5
Does your line perhaps instead look like
my_anon_fun = @(x) my_fun(x,parameters);
采纳的回答
Alan Weiss
2013-12-5
Perhaps it would be faster for you to use nested functions rather than anonymous functions. I think (thought I haven't tested this idea) that this would avoid the overhead of creating anonymous functions.
Alan Weiss
MATLAB mathematical toolbox documentation
更多回答(0 个)
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!