Rapid Vector Matching/Search Problem

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Kyle Johnston
Kyle Johnston el 20 de Ag. de 2014
Comentada: Oleg Komarov el 23 de Ag. de 2014
I have a matrix (we'll call A) of size m x n, and a vector (we'll call B) that is a 1 x n, and I am interested in finding the one unique index (and I know there is just one) where A(index,:) equals B, is there a way for me to quickly make the determination in MATLAB besides using the following code:
for i = 1 : m
if ((isequal(A(i,:), B)))
indexIntrest = i;
break;
end
end
Thanks

Respuesta aceptada

Joseph Cheng
Joseph Cheng el 20 de Ag. de 2014
Editada: Joseph Cheng el 20 de Ag. de 2014
you'll need to use the function ismember()
such as:
found_row = ismember(A,B,'rows')
which will return a logical array where a 1 will represent a match. then by doing something like this
A= randi(2,100,4);
indexIntrest=find(ismember(A,[ 2 1 1 1],'rows'))
will return the indexes that match.
  3 comentarios
Joseph Cheng
Joseph Cheng el 21 de Ag. de 2014
I did it that way just in case you had more than 1. When i do your ismember(A,B,'rows') it does not come back with the index of which row.. that is why i used find to come up with the index.
Joseph Cheng
Joseph Cheng el 21 de Ag. de 2014
Alright finally grasped how the perms() function lays out the permutations. Needed to eat a cookie and it came to me.
clc
clear all
n=10;
A= perms(1:n);
B=A(randi(length(A),1),:);
space = factorial(n-1);
tic
for i = (space*(n- B(1)) + 1) : space*(n- B(1) + 1)
if (isequal(A(i,:),B))
index3 = i
break;
end
end
looptime = toc;
index4 = 1;
tic
seq = [n:-1:1];
for i =1:n-1
space=factorial(n-i);
Subind = find(seq==B(i)); %determine which section
index4= index4+space*(Subind-1);
seq = A(index4,i+1:end); %contains order of next column
end
calctime = toc;
disp([A(index4,:);B])
disp(['loop time: ' num2str(looptime)])
disp(['calc time: ' num2str(calctime)])
disp(['loop - calc: ' num2str(looptime-calctime)])

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Oleg Komarov
Oleg Komarov el 21 de Ag. de 2014
You can try to use bsxfun():
find(all(bsxfun(@eq, A,B),2))
What happens is every row of A is tested with @eq for element-wise equality against B, producing a m x n logical matrix. Then, all() tests each row if all elements are true, and find() returns the position.

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