How to preallocate to decrease run time?
显示 更早的评论
Re_1, Re_6, etc.. are have different dimensions i.e. Re_1 = 5000:20000, Re_6 = 200:10000, etc. I wrote this for loop to get the mean values at each value for Reynolds number. How can I preallocate this?
tot_Re = [Re_1 Re_6 Re_8 Re_9 Re_12 Re_13];
tot_Nu = [Nu_1 Nu_6 Nu_8 Nu_9 Nu_12 Nu_13];
Re_mean = 1:max(tot_Re);
for i = 1:max(tot_Re)
k = find(tot_Re == i);
Nu_mean(i) = mean(tot_Nu(k));
end
采纳的回答
Greg
2018-7-19
You can use unique to make your loop more robust. Then, logical indexing is much better than the find you've included. In fact, the find is completely unnecessary.
tot_Re = [Re_1 Re_6 Re_8 Re_9 Re_12 Re_13];
tot_Nu = [Nu_1 Nu_6 Nu_8 Nu_9 Nu_12 Nu_13];
Re_mean = 1:max(tot_Re); % You never use this...
[~,ind,~] = unique(tot_Re); % Using unique allows for gaps in values of tot_Re
Nu_mean = NaN(size(ind)); % Pre-allocate Nu_mean
for lp = 1:length(ind)
k = tot_Re == tot_Re(ind(lp)); % Leave indices as logicals
Nu_mean(lp) = mean(tot_Nu(k));
end
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 MATLAB 的更多信息
Translated by 
