How to subtract an (n by m) matrix from an (n by m) by k matrix without looping?
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Suppose I have the following matrices:
A=[1:4;5:8]
B=randi(10,2,4,3);
I want the same result as the code below gives but without looping, as I intend to use significantly larger sized dimensions which is very slow using looping.
for i=1:3
C(:,:,i)=B(:,:,i)-A;
end
Another method I tried was to concatenate matrix A with itself so that both A and B were the same dimensions before subtraction, but storing A for large dimensions is very memory consuming, not to mention unnecessary.
Cheers.
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采纳的回答
dpb
2014-8-5
>> a=eye(2);
>> b=rand(2,2,2)
b(:,:,1) =
0.3500 0.9275
0.2871 0.0513
b(:,:,2) =
0.5927 0.8384
0.1629 0.1676
>> bsxfun(@minus,b,a)
ans(:,:,1) =
-0.6500 0.9275
0.2871 -0.9487
ans(:,:,2) =
-0.4073 0.8384
0.1629 -0.8324
>>
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更多回答(2 个)
Chris Turnes
2014-8-5
While bsxfun is the preferred method for doing this, for the sake of completeness in answering the question you can also use indexing:
>> a = eye(2);
>> b = rand(2,2,2);
>> b-a(:, :, ones(2,1))
ans(:,:,1) =
-0.6251 0.8531
0.8449 -0.0829
ans(:,:,2) =
-0.7962 0.6896
0.5438 -0.6952
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