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).
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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