找到三维矩阵(或n维)中最小元素的索引

Question

我有一个矩阵D(i,j,k),我想找到i,j,k以尽量减少x:

x = D(i,j,k)

例如:

D = rand(10,10,10);
min(min(min(D))) = 0.5123; %The smallest element in D

我想知道的是D的指数给出0.5123

我怎样才能做到这一点？谢谢,艾略特

Answer 1

尝试min与colon运营商,然后ind2sub:

[xmin,ind] = min(D(:));
[ii,jj,kk] = ind2sub(size(D),ind)

Answer 2

@chappjc的答案非常适合3D案例.

对于n维情况,使用从大小为n的单元格数组获得ind2sub的逗号分隔列表的输出:

indices = cell(1,ndims(D)); %// define number of indices (size of cell array)
[minVal linInd] = min(D(:)); %// linear index of minimizer
[indices{:}] = ind2sub(size(D),linInd); %// return indices in cell array
indices = cell2mat(indices); %// convert to nx1 vector containing the indices