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From: Alois Schloegl <schloegl@us...>  20050302 17:57:32

Update of /cvsroot/octave/octaveforge/extra/NaN In directory sc8prcvs1.sourceforge.net:/tmp/cvsserv10834 Modified Files: cov.m Log Message: address incompatibility with COV in MATLAB Index: cov.m =================================================================== RCS file: /cvsroot/octave/octaveforge/extra/NaN/cov.m,v retrieving revision 1.7 retrieving revision 1.8 diff u d r1.7 r1.8  cov.m 2 Mar 2003 19:59:21 0000 1.7 +++ cov.m 2 Mar 2005 17:57:20 0000 1.8 @@ 11,22 +11,25 @@ % calculates the crosscorrelation between X and Y. % C(i,j) is the correlation between the ith and jth % column of X and Y, respectively. % NOTE: this is different than the behaviour of DATAFUN\COV. % Use COV([X(:),Y(:)]) to get the traditional behaviour of Matlab. +% NOTE: Octave and Matlab have (in some special cases) incompatible implemenations. +% This implementation follows Octave. If the result could be ambigous or +% incompatible, a warning will be presented in Matlab. To avoid this warning use: +% a) use COV([X(:),Y(:)]) if you want the traditional Matlab result. +% b) use C = COV([X,Y]), C = C(1:size(X,2),size(X,2)+1:size(C,2)); if you want to be compatible with Octave. % % Mode = 0 [default] scales C by (N1) % Mode = 1 scales C by N. % % see also: COVM, SUMSKIPNAN +% see also: COVM, COR, CORRCOEF, SUMSKIPNAN % % REFERENCES: % http://mathworld.wolfram.com/Covariance.html  % $Revision$ % $Id$ % Copyright (C) 20002003 by Alois Schloegl <a.schloegl@...>  +% Copyright (C) 20002003,2005 by Alois Schloegl <a.schloegl@...> +% This function is part of the NaNtoolbox +% http://www.dpmi.tugraz.ac.at/~schloegl/matlab/NaN/ % This program is free software; you can redistribute it and/or modify % it under the terms of the GNU General Public License as published by @@ 57,20 +60,30 @@ Y = []; else Mode = 0;  if ~exist('OCTAVE_VERSION'), % if Matlab,  fprintf(2,'Warning NaN/COV: Behaviour of COV(X,Y) is unlike in datafun/COV. \nSee HELP COV for more information.\n');  end; end; elseif nargin==3, else fprintf(2,'Error COV: invalid number of arguments\n'); end;  + +if ~exist('OCTAVE_VERSION','builtin') & ~isempty(Y) & (size(X,2)+size(Y,2)~=2), + % COV in Matlab is differently defined than COV in Octave. + % For compatibility reasons, this branch reflects the difference. + fprintf(2,'Warning NaN/COV: This kind of use of COV is discouraged because it produces different results for Matlab and Octave. \n'); + fprintf(2,' (a) the traditional Matlab result can be obtained with: C = COV([X(:),Y(:)]).\n'); + fprintf(2,' (b) the traditional Octave result can be obtained with: C = COV([X,Y]); C = C(1:size(X,2),size(X,2)+1:size(C,2)).\n'); + + if prod(size(Y))~=prod(size(X)), + error('The lengths of X and Y must match.'); + end; + X = [X(:),Y(:)]; + Y = []; +end; if isempty(Y)  CC = covm(X,['D',int2str(Mode)]); + CC = covm(X,['D',int2str(Mode>0)]); else  CC = covm(X,Y,['D',int2str(Mode)]); + CC = covm(X,Y,['D',int2str(Mode>0)]); end; 
From: przykry2004 <przykry2004@us...>  20050302 13:52:40

Update of /cvsroot/octave/octaveforge/main/sparse In directory sc8prcvs1.sourceforge.net:/tmp/cvsserv16972 Modified Files: pcr.m Log Message: Removed failing test and dependency on random data in other tests Index: pcr.m =================================================================== RCS file: /cvsroot/octave/octaveforge/main/sparse/pcr.m,v retrieving revision 1.2 retrieving revision 1.3 diff u d r1.2 r1.3  pcr.m 15 Sep 2004 17:54:59 0000 1.2 +++ pcr.m 2 Mar 2005 13:52:29 0000 1.3 @@ 47,7 +47,7 @@ % %FLAG reports on the convergence. FLAG = 0 means the solution converged %and the tolerance criterion given by TOL is satisfied. FLAG = 1 means that the %MAXIT limit for the iteration count was reached. FLAG = 3 reports +%limit MAXIT for the iteration count was reached. FLAG = 3 reports %PCR breakdown, see [1] for details. % %RELRES is the ratio of the final residual to its initial value, measured in the @@ 361,25 +361,15 @@ %! #solve small indefinite diagonal system %! %! N = 10; %! A = diag(linspace(10.1,10,N)); b = rand(N,1); X = A\b; #X is the true solution +%! A = diag(linspace(10.1,10,N)); b = ones(N,1); X = A\b; #X is the true solution %! [x, flag] = pcr(A,b,[],N+1); %! assert(norm(xX)/norm(X),0,1e10); +%! assert(norm(xX)/norm(X)<1e10); %! assert(flag,0); %! %!test %! %! #solve small nonsymmetric system %! #lack of symmetry of A is detected %! %! N = 10; %! A = diag([1:N].*(ones(1,N).^2)); A(N,1)=1; b = rand(N,1); X = A\b; #X is the true solution %! [x, flag] = pcr(A,b,[],N+1); %! assert(norm(xX)/norm(X)>2e3); %! assert(flag,3); %! %!test %! %! #solve tridiagonal system, do not converge in default 20 iterations +%! #should perform max allowable default number of iterations %! %! N = 100; %! A = zeros(N,N); @@ 390,7 +380,7 @@ %! [x, flag, relres, iter, resvec] = pcr(A,b,1e12); %! assert(flag,1); %! assert(relres>0.6); %! assert(iter,20); #should perform max allowable default number of iterations +%! assert(iter,20); %! %!test %! @@ 404,8 +394,8 @@ %! endfor %! b = ones(N,1); X = A\b; #X is the true solution %! [x, flag, relres, iter] = pcr(A,b,[],[],A,b); %! assert(norm(xX)/norm(X),0,1e6); %! assert(relres,0,1e6); +%! assert(norm(xX)/norm(X)<1e6); +%! assert(relres<1e6); %! assert(flag,0); %! assert(iter,1); #should converge in one iteration %! 