How to replace negative elements in a Matrix with zeros?
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A = [2, 3, -1, 5; -1, 4, -7, -3; -6, 0, 3, 9; 7, 6, -3, 8];
B = [9; 17; 15; -3];
AI = inv(A)
I = A*AI
X = AI*B
A*X
Now I am trying to set up a nested for loop to redefine negative elements in A. I need to replace negative elements in A with a zero. How do I go about doing this?
Accepted Answer
More Answers (2)
Jan
on 17 Jan 2018
Or:
A(A < 0) = 0
3 Comments
Jerzy Pela
on 27 Feb 2020
Edited: Jerzy Pela
on 27 Feb 2020
I compared both methods, since it was one of the bottlenecks in my calculations and max(A,0) was significantly faster. Keep it in mind if you need to do that calculation numerous times in your script. Otherwise both methods are equal
Josh
on 4 May 2024
thank you for this extra little insight!
Johnny Zheng
on 14 Oct 2020
A = A*(A>0);
This also works!
Have a summary of possible methods:
A = A*(A>0);
A = max(A,0);
A(A<0) = 0;
2 Comments
Stephen23
on 14 Oct 2020
For non-scalar A (such as that shown in the question) the mtimes operator needs to be replaced with an element-wise times operator otherwise an error or incorrect output is quite likely:
A.*(A>0)
Also note that this method changes -Inf values to NaN, which may be an undesired side-effect:
>> A = [-1,0,1,;-Inf,Inf,NaN];
>> A = A.*(A>0)
A =
0 0 1
NaN Inf NaN
Adam Danz
on 14 Oct 2020
You'd need to multiple element-wise,
A = A.*(A>0);
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