how to extract matrices from a cell based on column sum of each matrix?
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I have a cell A which contains 1806 matrices. each matrix is a binary matrix with 7x3 size.. I want to extract only those matrices from A in which sum of each column is greater than equal to 2 for example A contains matrix
A{1}=[1 0 0;
1 0 0;
1 0 0;
1 0 0;
1 0 0;
0 1 0;
0 0 1]
A{2}=[1 0 0
0 0 1
0 1 0
0 0 1
0 1 0
1 0 0
0 0 1]
A{3}=[0 1 0
0 0 1
1 0 0
0 0 1
1 0 0
0 0 1
0 0 1]
A{4}=[0 1 0
0 0 1
1 0 0
0 0 1
0 1 0
1 0 0
0 1 0]
I want to multiply these matrices with another cell of matrices but only those matrices for which sum of each column is >= 2. I got the idea of applying this but how to continue the loop if A{i} is not satifying the condition
for i=1:numel(A)
for =1:numel(B)
if all(sum(A{i})>=2
C{i,j}=bsxfun(@times,A{i},B{j})
end
end
how to store values of C for which A is according to condition.? the complete code is below
tic;
no_of_machines=7;
no_of_cells=3;
No_of_Parts = 6;
move_cost=[0.12;0.12;0.12;0.12;0.12;0.12];
P1=[1 0 0 1 0 1 1;1 1 0 0 1 0 1];
P2=[0 1 1 1 0 0 1;1 0 1 0 1 1 0];
P3=[1 0 0 1 1 0 0;0 1 1 0 0 0 1];
P4=[1 0 0 0 1 0 1;0 1 0 1 0 1 0];
P5=[1 1 0 0 0 1 0;1 1 0 0 1 0 1];
P6=[0 1 0 0 0 1 1;1 1 0 1 0 1 0];
P = [P1;P2;P3;P4;P5;P6];
z = [size(P1,1) size(P2,1) size(P3,1) size(P4,1) size(P5,1) size(P6,1)];
c = [0 cumsum(z(1:end-1))];
a = allcomb(1:z(1),1:z(2),1:z(3),1:z(4),1:z(5),1:z(6));
n = size(a,1);
B = cell(1,n);
for i=1:n
B{i} = P(c+a(i,:),:);
end
t = 0;
for k = 0:(no_of_cells^no_of_machines)-1
s = dec2base(k,no_of_cells,no_of_machines);
if length(unique(s))==no_of_cells
t = t+1;
CELL(t,:) = s-'0'+1;
end
end
CELL = CELL(1:t,:);
combination_array=num2cell(CELL,2);
for c=1:numel(combination_array )
R=1:numel(combination_array{c});
Z = zeros(R(end),max(combination_array{c}));
Z(sub2ind(size(Z),R,combination_array{c})) = 1;
A{c}=Z;
end
I want to multiply A and B where B is 1x64 cell and A is 1X1806 cell. this gives total of 64x1806 cell.but I want to multiply B with only those A which fulfill the condition of column sum.
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Réponses (1)
Walter Roberson
le 25 Jan 2017
mask = cellfun(@(M) all(sum(M,1)>=2), A);
output = cellfun(@times, A(mask), B(mask), 'uniform', 0);
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