Vectorizing evaluation of cell array of functions
3 次查看(过去 30 天)
显示 更早的评论
I have an S-by-1 cell array of function handles, each taking one argument---call it 'funcell'. I also have an S-by-1 vector of numeric values---call it 'inputs'. My goal is to obtain a numeric vector of size S-by-1---call it 'output', such that each element j of 'output' contains the corresponding function evaluated at the corresponding numeric value.
In a for loop, this would just be:
for j=1:S
output(j)=funcell{j}(inputs(j))
end
The problem is that S is very large, so this is slow. Is there a way to vectorize this process for speed?
1 个评论
Bruno Luong
2019-9-19
编辑:Bruno Luong
2019-9-19
"The problem is that S is very large, so this is slow. Is there a way to vectorize this process for speed?"
This is again a wrong preconceived slowness of FOR-LOOP. It is slow because you evaluate many function handles not because it is embeded in a FOR-LOOP.
回答(1 个)
James Tursa
2019-9-18
编辑:James Tursa
2019-9-18
Not sure this will be any faster since the loop is just hidden, but you can try this:
output = arrayfun(@(x,y)x{1}(y),funcell,inputs);
Did you pre-allocate output before your loop? I'm assuming your example was a typo and was supposed to read:
output(j)=funcell{j}(inputs(j))
2 个评论
Bruno Luong
2019-9-19
It yields a modest speed-up
Expected, because the slowness is NOT due to the for-loop.
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Number Theory 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!