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Octave UPM problem
From: |
rufsiany |
Subject: |
Octave UPM problem |
Date: |
Sat, 16 Mar 2013 14:36:23 -0700 (PDT) |
Hello,
I've been searching for some GUI front end for Octave for some time and just
today came across the brilliant Octave UPM. But after playing around for a
few minutes, I found that sometimes multiplying matrix by a scalar doesn't
give the correct results. I don't have Octave 3.6.2 compiled with VS, which
UPM Octave is based on, but the mingw version 3.6.2, I use, behaves
correctly.
In the example below of the UPM version, the matrix is a result of calling
the "wienrnd" function. Multiplying it by 5 gives strange results:
>> wnr = wienrnd (2,8,8)
wnr =
0.12500 -0.14346 -0.00996 -0.01769 -0.09809 -0.29141 -0.66246
0.21502 -0.05021
0.25000 -0.32987 0.36572 -0.19571 -0.47057 -0.26569 -0.48931
-0.19764 -0.19126
0.37500 -0.89128 -0.40626 -0.24054 -0.79434 -0.07082 -1.17389
0.01741 0.31736
0.50000 -1.30473 -1.08801 -0.15474 -0.57085 -0.33015 -1.13230
-0.15042 0.57384
0.62500 -0.97855 -1.45742 -0.11478 -0.24397 -0.76436 -1.12999
-0.26776 0.17453
0.75000 -0.63273 -1.71002 0.55411 1.22800 -0.97141 -1.39005
-0.52772 0.45839
0.87500 -0.52147 -1.66481 0.20736 1.00382 -0.81109 -0.97733
-0.49950 -0.35432
1.00000 0.03512 -1.02482 -0.11592 0.82814 -1.20891 -1.20896
-0.84940 -0.19286
1.12500 0.32241 -0.53098 0.05954 0.94293 -1.03769 -1.79697 -1.00988
0.12688
1.25000 0.02102 -0.21186 0.40525 0.67732 -0.65204 -1.85381 -0.74743
-0.37683
1.37500 0.57876 -0.35670 0.55405 0.68633 -0.47886 -1.03869 -0.68177
-0.43835
1.50000 0.63651 -0.15772 0.28846 0.85061 -0.21789 -0.78991 -0.10397
-0.14196
1.62500 0.54970 -0.19866 0.50000 0.64156 -0.09773 -0.84530 -0.83896
-0.00997
1.75000 0.44090 -0.77706 0.46982 0.92536 0.07399 -0.76027 -0.71449
0.11840
1.87500 0.47665 -0.80388 0.41928 0.89688 -0.39765 -0.80179 -0.77270
-0.43913
2.00000 0.35018 -1.07899 0.12233 1.14020 -0.82989 -0.57488 -0.72834
-0.48806
>> wnr * 5
ans =
1.0e+001 *
0.06250 -0.07173 -0.00498 -0.00884 -0.04904 -0.14571 -0.33123
0.10751 -0.02511
0.12500 -0.16493 0.18286 -0.09785 -0.23529 -0.13284 -0.24465
-0.09882 -0.09563
0.18750 -0.44564 -0.20313 -0.12027 -0.39717 -0.03541 -0.58695
0.00871 0.15868
0.25000 -0.65236 -0.54400 -0.07737 -0.28543 -0.16508 -0.56615
-0.07521 0.28692
0.31250 -0.48928 -0.72871 -0.05739 -0.12198 -0.38218 -0.56500
-0.13388 0.08726
0.37500 -0.31636 -0.85501 0.27706 0.61400 -0.48570 -0.69503
-0.26386 0.22919
0.43750 -0.26074 -0.83240 0.10368 0.50191 -0.40555 -0.48867
-0.24975 -0.17716
0.50000 0.01756 -0.51241 -0.05796 0.41407 -0.60446 -0.60448
-0.42470 -0.09643
0.56250 0.16120 -0.26549 0.02977 0.47147 -0.51884 -0.89848 -0.50494
0.06344
0.62500 0.01051 -0.10593 0.20262 0.33866 -0.32602 -0.92690 -0.37372
-0.18842
0.68750 0.28938 -0.17835 0.27703 0.34317 -0.23943 -0.51935 -0.34088
-0.21917
0.75000 0.31826 -0.07886 0.14423 0.42530 -0.10894 -0.39496 -0.05199
-0.07098
0.81250 0.27485 -0.09933 0.25000 0.32078 -0.04887 -0.42265 -0.41948
-0.00498
0.87500 0.22045 -0.38853 0.23491 0.46268 0.03700 -0.38014 -0.35725
0.05920
0.93750 0.23833 -0.40194 0.20964 0.44844 -0.19882 -0.40089 -0.38635
-0.21956
1.00000 0.17509 -0.53950 0.06116 0.57010 -0.41495 -0.28744 -0.36417
-0.24403
>>
Cheers
Greg
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rufsiany <=