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?
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Más respuestas (2)
Jan
el 17 de En. de 2018
Or:
A(A < 0) = 0
3 comentarios
Jerzy Pela
el 27 de Feb. de 2020
Editada: Jerzy Pela
el 27 de Feb. de 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
el 4 de Mayo de 2024
thank you for this extra little insight!
Johnny Zheng
el 14 de Oct. de 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 comentarios
Stephen23
el 14 de Oct. de 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
el 14 de Oct. de 2020
You'd need to multiple element-wise,
A = A.*(A>0);
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