Ram*_*min 5 sorting matlab cell-array
我有这样一个单元格:
A{1,1}=[ 1 ;2; 3;];
A{2,1}=[ 4 ;2;];
A{3,1}=[ 3 ;2; 5; 4; 6;];
...
A{N,1}=[ 10 ;2;5; 7;]; %N is very large.
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换句话说,该单元的每个元素中的列数是不同的,没有明确的模式.
现在,我想根据第一列的元素对这些元素进行排序.我的意思是,我希望结果是这样的:
Asorted{1,1}=[ 1 ;2; 3;];
Asorted{2,1}=[ 3 ;2; 5; 4; 6;];
Asorted{3,1}=[ 4 ;2;];
...
Asorted{N,1}=[ 10 ;2;5; 7;];
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目前我使用这个功能:
function Asorted = sortcell(A)
B=[];
nrows = size(A,1);
for i=1:nrows % this for-loop is slow
st=A{i,1};
B(i,1) = st(1,1);
end
[sorted,indices] = sort(B);
Asorted = A(indices,:);
end
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它有效,但需要很长时间.实际上for循环部分非常慢.
我读了关于猫的功能,但我不知道如何使用它.我用过B = cat(1,A{:}(1,1));,但是有这个错误:??? Bad cell reference operation.
我想知道是否有更快的方法吗?
谢谢.
更新 让我们做一个实验:
A={};
for i=1:1e3
A{i,1} = ones(4,1) * randn;
end
N=1000;sum1=0;sum2=0;sum3=0;sum4=0;
for t=1:N
% # Solution with for loop and no prealocation
tic
B = [];
for i = 1:size(A, 1)
B(i, 1) = A{i,1}(1,1);
end
[Y, I] = sort(B);
Asorted = A(I,:);
a=toc;sum1=sum1+a;
% # Solution with for loop and Prealocation
tic
B = zeros(size(A,1), 1);
for i = 1:size(A, 1)
B(i, 1) = A{i,1}(1,1);
end
[Y, I] = sort(B);
Asorted = A(I,:);
a=toc;sum2=sum2+a;
% # Solution with cellfun
tic
[Y, I] = sort( cellfun( @(x) x(1), A ) );
Asorted = A(I);
a=toc;sum3=sum3+a;
tic
% # Solution with for loop and ???
for i = 1:size(A, 1)
B(i, 1) = A{i}(1);
end
[Y, I] = sort(B);
Asorted = A(I);
a=toc;sum4=sum4+a;
end
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结果为
sum1 = 2.53635923001387
sum2 = 0.629729057743372
sum3 = 4.54007401778717
sum4 = 0.571285037623497
**这意味着每次分配更快,但第4种方法是什么.我认为值得在一个单独的问题中讨论.请参阅Matlab预分配与不分配,第二个更快,为什么?
你的循环很慢,因为B它内部正在增长; 你应该预先分配内存B,它应该运行得更快.为此,请在for循环之前插入以下行:
B = zeros(nrows, 1);
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您可以像这样进一步缩短循环:
B = zeros(size(A,1), 1);
for i = 1:size(A, 1)
B(i, 1) = A{i}(1);
end
[Y, I] = sort(B);
Asorted = A(I);
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我决定将此解决方案与采用的更短的解决方案进行比较cellfun(我之前提出过):
A = {[1; 2; 3], [4; 2], [3; 2; 5; 4; 6], [10; 2; 5; 7]};
% # Solution with a for loop
tic
for jj = 1:1e3
B = zeros(size(A,1), 1);
for i = 1:size(A, 1)
B(i, 1) = A{i}(1);
end
[Y, I] = sort(B);
Asorted = A(I);
end
toc
% # Solution with cellfun
tic
for jj = 1:1e3
[Y, I] = sort( cellfun( @(x) x(1), A ) );
Asorted = A(I);
end
toc
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结果是:
Elapsed time is 0.028761 seconds.
Elapsed time is 0.253888 seconds.
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循环比一个数量级快cellfun!对于大型阵列,这种差异非常明显,因此我建议for在此问题中使用循环.
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