| 12
 3
 4
 5
 6
 7
 8
 9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 
 | function test1
%TEST1 test cs_transpose, cs_gaxpy, cs_sparse, cs_sparse2
%
% Example:
%   test1
% See also: testall
% Copyright 2006-2012, Timothy A. Davis, http://www.suitesparse.com
index = ssget ;
[ignore f] = sort (max (index.nrows, index.ncols)) ;
f = f (1:100) ;
for ii = f
    Prob = ssget (ii) ;
    disp (Prob) ;
    for cmplex = 0:double(~ispc)
        A = Prob.A ;
        if (cmplex)
            A = A + 1i*sprand(A) ;
        end
        B = A' ;
        C = cs_transpose (A) ;
        if (nnz (B-C) ~= 0)
            error ('!')
        end
        C = cs_transpose (A,0) ;
        if (nnz (A.'-C) ~= 0)
            error ('!')
        end
        C = cs_transpose (A,1) ;
        if (nnz (A'-C) ~= 0)
            error ('!')
        end
        [m n] = size (A) ;
        % if (m == n)
            x = rand (n,1) ;
            y = rand (m,1) ;
            z = y+A*x ;
            q = cs_gaxpy (A,x,y) ;
            err = norm (z-q,1) / norm (z,1) ;
            disp (err) ;
            if (err > 1e-13)
                error ('!')
            end
        % end
        if (~ispc)
            x = x + 1i*rand (n,1) ;
            y = y + 1i*rand (m,1) ;
            z = y+A*x ;
            q = cs_gaxpy (A,x,y) ;
            err = norm (z-q,1) / norm (z,1) ;
            disp (err) ;
            if (err > 1e-13)
                error ('!')
            end
        end
        [i j x] = find (A) ;
        p = randperm (length (i)) ;
        i = i (p) ;
        j = j (p) ;
        x = x (p) ;
        if (m <= 1)
            % The find function returns row vectors i,j,x when size(A,1) is 1.
            % This is fine for the MATLAB 'sparse', but not for cs_sparse.
            i = i (:) ;
            j = j (:) ;
            x = x (:) ;
        end
        D = sparse (i,j,x) ;
        E = cs_sparse (i,j,x) ;
        % [i j x]
        F = cs_sparse2 (i,j,x) ;
        if (nnz (D-E) ~= 0)
            error ('!')
        end
        if (nnz (F-E) ~= 0)
            error ('!')
        end
        clear A B C D E F
        % pause
    end
end
 |