How to find the lowest value of Dist?
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x=[1 2 3 4 5];
d= [0 10 20 30 40;
10 0 50 60 70;
20 50 0 80 90;
30 60 80 0 100;
40 70 90 100 0];
n=2;
for k=1:n
xp = randperm(numel(x), 2);
x(xp) = x(fliplr(xp))
s = sub2ind(size(d),x(1:end-1),x(2:end ));
Dist = sum(d(s))
end
for k=1:n
xp = randperm(numel(x), 4);
x(xp) = x(fliplr(xp))
s = sub2ind(size(d),x(1:end-1),x(2:end ));
Dist = sum(d(s))
end
lowest_Dist = ?
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Antworten (1)
Image Analyst
am 7 Dez. 2017
Bearbeitet: Image Analyst
am 7 Dez. 2017
Index Dist:
Dist(k) = sum(d(s))
Then, perhaps:
lowest_Dist = min(Dist)
If not, why not?
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