Hi,
Le 07/05/2020 à 14:58, CRETE Denis a écrit :
Hello,
I redefined a few functions in Scilab 6.1.0 to extend them to arrays
with 3 dimensions (formerly called hypermatrix). Overloading works
with "clean", "multiply", "left division" and "element by element
division" (after defining functions %s_clean, %s_m_s, %s_l_s and %s_d_s).
clean and element by element division do not need overloading:
--> clean(ones(2,2,2))
ans =
(:,:,1)
1. 1.
1. 1.
(:,:,2)
1. 1.
1. 1.
--> ones(2,2,2)./ones(2,2,2)
ans =
(:,:,1)
1. 1.
1. 1.
(:,:,2)
1. 1.
1. 1.
S.
I tried to overload function "inv" with the following code:
function y=%s_inv(x),
if ndims(x)>2 then
for k=1:size(x,3),
y(:,:,k)=inv(x(:,:,k));
end;
else
y=inv(x);
end;
endfunction
expecting that each layer of y is the reciprocal of corresponding
layer of x. Instead,
inv(ones(1,1,2).*.rand(2,2)) returns the reciprocal of x layer 1 in y
layer 1 AND x LAYER n IN y LAYER n, WHEN n>1. I use "layer" to
designate the matrix obtain for a fixed value the index along the 3rd
dimension.
Code to reproduce the problem:
n=4; m=3;
M=ones(1,1,n).*.rand(m,m);
inv(M)
Attempts to circumvent this problem by using M^(-1) instead of inv(M)
run into the same problem (after redefining function %s_p). Is this a
bug or did I miss something ?
In the mean time, I avoided overloading the function "inv" and renamed
"%s_inv" to "inverse" to do successfully call "inverse(M)"...
Best regards
Denis
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--
Stéphane Mottelet
Ingénieur de recherche
EA 4297 Transformations Intégrées de la Matière Renouvelable
Département Génie des Procédés Industriels
Sorbonne Universités - Université de Technologie de Compiègne
CS 60319, 60203 Compiègne cedex
Tel : +33(0)344234688
http://www.utc.fr/~mottelet
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