Find Minimum based on new criteria

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Hi. Suppose I have a matrix A e.g.
A=[
8.2505 4.8825 2.2563 0.0020 0
8.2505 4.8825 2.2687 0.0020 1
8.2505 4.8825 2.2813 0.0020 1
8.2505 4.9325 2.2813 0.0020 0
8.2505 4.9325 2.2938 0.0020 1
8.2755 4.7575 2.2437 0.0020 0
8.2755 4.7575 2.2563 0.0020 0
8.2755 4.7575 2.2687 0.0020 1
8.2755 4.8075 2.2188 0.0020 0
8.2755 4.8075 2.2313 0.0020 0
8.2755 4.8075 2.2437 0.0020 1
8.2755 4.8075 2.2563 0.0010 1
8.2755 4.8075 2.2687 0.0010 1];
I want to find the row that its value in third column is minimum and the value in fifth column is 1; if the value in fifth column is 0, then I want to find the row that has the next minimum value in third column and its value in fifth column is 1. Thanks for your help.

Accepted Answer

Star Strider
Star Strider on 5 Nov 2017
This works:
row = (A(:,3) == min(A(A(:,5)==1,3))) & (A(:,5) == 1); % Row Index (Logical Vector)
Result = A(row,:) % Desired Row
If you want the number index of the row, use the find function:
row_index = find(row);

More Answers (1)

Kaushik Lakshminarasimhan
Edited: Kaushik Lakshminarasimhan on 5 Nov 2017
minval = min(A(A(:,5)==1,3))
rowindx = find(A(:,3)==minval)

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