Re: [Scilab-users] Overloading "inv" and/or "p" does not seem to work with Scilab 6.1.0
Hello Denis, 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). 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 ? It's a bug. inv() should display an error message inviting to define %s_inv(), or use %s_inv(). By the way, the hook to the overload existed in Scilab 5.5.2. Hence, this issue is a regression. Could you please report it? Thanks Samuel ___ users mailing list users@lists.scilab.org http://lists.scilab.org/mailman/listinfo/users
Re: [Scilab-users] Overloading "inv" and/or "p" does not seem to work with Scilab 6.1.0
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 ___ users mailing list users@lists.scilab.org https://antispam.utc.fr/proxy/1/c3RlcGhhbmUubW90dGVsZXRAdXRjLmZy/lists.scilab.org/mailman/listinfo/users -- 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 ___ users mailing list users@lists.scilab.org http://lists.scilab.org/mailman/listinfo/users
[Scilab-users] Overloading "inv" and/or "p" does not seem to work with Scilab 6.1.0
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 ___ users mailing list users@lists.scilab.org http://lists.scilab.org/mailman/listinfo/users
