Matrix linear indexing: how to add more than once to the same index
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Here is my question. Let's imagine we have this matrix:
A = [1 2 ; 3 4];
So if I use linear indexing to add 1 to, for instance, positions 1 and 3:
A([1 3]) = A([1 3]) + 1
A =
2 3
3 4
Now, let's imagine that, having the initial A matrix, I have an index vector in which some indices are repeated. For example, I need to add twice 1 to the first position, and once to the index 3:
A([1 3 1])=A([1 3 1])+1
A =
2 3
3 4
And surprisingly I get A(1,1)=2, instead of A(1,1)=3. How can I make it work?
The first idea was to put it inside a loop, but the matrix is normally big and this operation runs many times, and it becomes very slow. Any ideas?
Thank you very much in advance!
2 commentaires
per isakson
le 25 Août 2016
"And surprisingly I get A(1,1)=2, instead of A(1,1)=3."   Matlab obviously doesn't work the way you think it should. I cannot find any support for this behavior in the documentation. Neither that Matlab should work this way, nor should not. In cases like this Matlab rules ;-)
>> B = 1
B =
1
>> B([1,1,1]) = B([1,1,1])+1
B =
2
Guillaume
le 25 Août 2016
The behaviour is not surprising at all and totally expected.
With
A = [10 20; 30 40];
A([1 3 1]) is the content of indices 1, 3 and 1, so: [10 30 10]. Therefore A([1 3 1]) + 1 is the vector [11 21 11].
You then ask matlab to assign that vector to A([1 3 1]), so A ends up being
[11 21; 30 40]
Réponse acceptée
Plus de réponses (2)
>> ix=[1 3 1];
>> A(unique(ix))=A(unique(ix))+histc(ix,unique(ix))
A =
3 3
3 4
>>
Keep a temp for the unique index to eliminate the duplication; not sure if the JIT optimizer will find it or not if don't...
Azzi Abdelmalek
le 25 Août 2016
A = [1 2 ; 3 4]
idx=[1 3 1]
for k=1:numel(idx)
A(idx(k))=A(idx(k))+1
end
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