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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Jan
2018-1-17
Or:
A(A < 0) = 0
3 个评论
Jerzy Pela
2020-2-27
编辑:Jerzy Pela
2020-2-27
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
2024-5-4
thank you for this extra little insight!
Johnny Zheng
2020-10-14
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 个评论
Stephen23
2020-10-14
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
2020-10-14
You'd need to multiple element-wise,
A = A.*(A>0);
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