testMatrix.output 20.9 KB
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Starting Matrix tests
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4x5 matrix initialized to zero
 0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000
3x3 matrix initialized to identity
 1.000000  0.000000  0.000000
 0.000000  1.000000  0.000000
 0.000000  0.000000  1.000000
3x3 matrix initialized with Random
 0.696700  0.874314  0.996086
 0.726528  0.617335  0.089258
 0.891702  0.463235  0.485849
matrix initialized to the previous matrix
 0.696700  0.874314  0.996086
 0.726528  0.617335  0.089258
 0.891702  0.463235  0.485849
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8x5 matrix
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 0.696700  0.874314  0.996086  0.726528  0.617335
 0.089258  0.891702  0.463235  0.485849  0.042765
 0.361026  0.041587  0.153185  0.060528  0.124166
 0.360180  0.380030  0.638425  0.846644  0.200911
 0.267904  0.643543  0.135336  0.235230  0.887551
 0.300388  0.402109  0.483603  0.506828  0.215251
 0.467477  0.396181  0.070771  0.756737  0.438661
 0.966744  0.984287  0.592643  0.536064  0.112911
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sub matrix (2-6 x 3-5 of the previous matrix.
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 0.463235  0.485849  0.042765
 0.153185  0.060528  0.124166
 0.638425  0.846644  0.200911
 0.135336  0.235230  0.887551
 0.483603  0.506828  0.215251
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embedding sub matrix at 4,3
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 0.696700  0.874314  0.996086  0.726528  0.617335
 0.089258  0.891702  0.463235  0.485849  0.042765
 0.361026  0.041587  0.153185  0.060528  0.124166
 0.360180  0.380030  0.000000  0.000000  0.000000
 0.267904  0.643543  0.000000  0.000000  0.000000
 0.300388  0.402109  0.483603  0.506828  0.215251
 0.467477  0.396181  0.070771  0.756737  0.438661
 0.966744  0.984287  0.592643  0.536064  0.112911
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dsum
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 0.696700  0.874314  0.996086  0.726528  0.617335  0.000000  0.000000
 0.089258  0.891702  0.463235  0.485849  0.042765  0.000000  0.000000
 0.361026  0.041587  0.153185  0.060528  0.124166  0.000000  0.000000
 0.360180  0.380030  0.000000  0.000000  0.000000  0.000000  0.000000
 0.267904  0.643543  0.000000  0.000000  0.000000  0.000000  0.000000
 0.300388  0.402109  0.483603  0.506828  0.215251  0.000000  0.000000
 0.467477  0.396181  0.070771  0.756737  0.438661  0.000000  0.000000
 0.966744  0.984287  0.592643  0.536064  0.112911  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.446258  0.841778
 0.000000  0.000000  0.000000  0.000000  0.000000  0.641364  0.688086
 0.000000  0.000000  0.000000  0.000000  0.000000  0.935861  0.819345
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a
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 0.696700  0.874314  0.996086  0.726528  0.617335
 0.089258  0.891702  0.463235  0.485849  0.042765
 0.361026  0.041587  0.153185  0.060528  0.124166
 0.360180  0.380030  0.638425  0.846644  0.200911
 0.267904  0.643543  0.135336  0.235230  0.887551
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b
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 0.300388  0.402109  0.483603  0.506828  0.215251
 0.467477  0.396181  0.070771  0.756737  0.438661
 0.966744  0.984287  0.592643  0.536064  0.112911
 0.446258  0.841778  0.641364  0.688086  0.935861
 0.819345  0.459343  0.930850  0.983216  0.698402
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a += b
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 0.997088  1.276422  1.479690  1.233356  0.832586
 0.556736  1.287883  0.534006  1.242586  0.481426
 1.327770  1.025874  0.745828  0.596592  0.237077
 0.806438  1.221808  1.279789  1.534730  1.136772
 1.087249  1.102887  1.066186  1.218445  1.585953
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a + b
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 1.297476  1.678531  1.963293  1.740183  1.047836
 1.024213  1.684065  0.604777  1.999323  0.920086
 2.294514  2.010161  1.338472  1.132656  0.349988
 1.252697  2.063585  1.921152  2.222817  2.072634
 1.906594  1.562230  1.997036  2.201661  2.284355
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a
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 0.696700  0.874314  0.996086
 0.726528  0.617335  0.089258
 0.891702  0.463235  0.485849
 0.042765  0.361026  0.041587
 0.153185  0.060528  0.124166
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a.T
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 0.696700  0.726528  0.891702  0.042765  0.153185
 0.874314  0.617335  0.463235  0.361026  0.060528
 0.996086  0.089258  0.485849  0.041587  0.124166
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End of Matrix tests
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4x4 Symmetric matrix initialuzed to zero
 0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000
3x3 Symmetric matrix initialized to identity
 1.000000  0.000000  0.000000
 0.000000  1.000000  0.000000
 0.000000  0.000000  1.000000
3x3 symmetric matrix initialized with Random
 0.696700  0.874314  0.726528
 0.874314  0.996086  0.617335
 0.726528  0.617335  0.089258
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symmetric matrix initialized to the previous matrix
 0.696700  0.874314  0.726528
 0.874314  0.996086  0.617335
 0.726528  0.617335  0.089258
matrix initialized to the previous symmetric matrix
 0.696700  0.874314  0.726528
 0.874314  0.996086  0.617335
 0.726528  0.617335  0.089258
0.696700 0.696700
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 0.696700  3.800000  0.726528
 0.874314  0.996086 22.500000
 0.726528 22.500000  0.089258
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0.696700 0.696700
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5x5 sym matrix
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 0.696700  0.874314  0.726528  0.891702  0.361026
 0.874314  0.996086  0.617335  0.463235  0.041587
 0.726528  0.617335  0.089258  0.485849  0.153185
 0.891702  0.463235  0.485849  0.042765  0.060528
 0.361026  0.041587  0.153185  0.060528  0.124166
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sub sym matrix (2-5 x 2-5 of the previous sub matrix.
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 0.996086  0.617335  0.463235  0.041587
 0.617335  0.089258  0.485849  0.153185
 0.463235  0.485849  0.042765  0.060528
 0.041587  0.153185  0.060528  0.124166
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embedding sub matrix at 2
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 0.696700  0.874314  0.726528  0.891702  0.361026
 0.874314  0.000000  0.000000  0.000000  0.041587
 0.726528  0.000000  0.000000  0.000000  0.153185
 0.891702  0.000000  0.000000  0.000000  0.060528
 0.361026  0.041587  0.153185  0.060528  0.124166
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a
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 0.696700  0.874314  0.996086  0.726528  0.617335
 0.089258  0.891702  0.463235  0.485849  0.042765
 0.361026  0.041587  0.153185  0.060528  0.124166
 0.360180  0.380030  0.638425  0.846644  0.200911
 0.267904  0.643543  0.135336  0.235230  0.887551
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b(sym)
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 0.300388  0.402109  0.506828  0.396181  0.966744
 0.402109  0.483603  0.215251  0.070771  0.984287
 0.506828  0.215251  0.467477  0.756737  0.592643
 0.396181  0.070771  0.756737  0.438661  0.536064
 0.966744  0.984287  0.592643  0.536064  0.112911
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a += b
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 0.997088  1.276422  1.502914  1.122710  1.584079
 0.491367  1.375305  0.678485  0.556621  1.027052
 0.867853  0.256838  0.620662  0.817265  0.716809
 0.756362  0.450801  1.395162  1.285305  0.736975
 1.234648  1.627830  0.727979  0.771294  1.000462
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a + b
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 1.297476  1.678531  2.009741  1.518891  2.550823
 0.893476  1.858909  0.893736  0.627392  2.011339
 1.374681  0.472088  1.088139  1.574002  1.309453
 1.152543  0.521572  2.151899  1.723965  1.273039
 2.201392  2.612117  1.320623  1.307357  1.113373
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 0.696700  0.874314  0.996086
 0.726528  0.617335  0.089258
 0.891702  0.463235  0.485849
 0.042765  0.361026  0.041587
 0.153185  0.060528  0.124166
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b
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 0.360180  0.380030  0.846644
 0.380030  0.638425  0.200911
 0.846644  0.200911  0.267904
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c
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 2.916686  1.760145  2.247544  0.473296  0.408633
 1.760145  0.908403  1.199434  0.304632  0.223998
 2.247544  1.199434  1.624606  0.343887  0.304955
 0.473296  0.304632  0.343887  0.105113  0.059096
 0.408633  0.223998  0.304955  0.059096  0.057195
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 0.696700  0.874314  0.996086  0.726528  0.617335
 0.089258  0.891702  0.463235  0.485849  0.042765
 0.361026  0.041587  0.153185  0.060528  0.124166
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b
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 0.360180  0.380030  0.846644
 0.380030  0.638425  0.200911
 0.846644  0.200911  0.267904
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c
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 0.700953  0.897183  0.878775  0.663235  0.468886
 0.897183  1.452460  1.250340  0.998974  0.579792
 0.878775  1.250340  1.138243  0.884498  0.561740
 0.663235  0.998974  0.884498  0.696368  0.423266
 0.468886  0.579792  0.561740  0.423266  0.294557
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 0.696700  0.874314  0.726528
 0.874314  0.996086  0.617335
 0.726528  0.617335  0.089258
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b
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 0.891702  0.463235  0.042765
 0.463235  0.485849  0.361026
 0.042765  0.361026  0.041587
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c
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 1.892464  2.162210  1.425106
 2.162210  2.476564  1.644940
 1.425106  1.644940  1.117034
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a
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 0.696700
 0.874314
 0.996086
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b
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 0.726528  0.617335  0.891702
 0.617335  0.089258  0.463235
 0.891702  0.463235  0.485849
c	3.699503
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c
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 3.699503
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End of SymMatrix tests
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4x4 diagonal matrix initialized to zero
 0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000
3x3 diagonal matrix initialized to identity
 1.000000  0.000000  0.000000
 0.000000  1.000000  0.000000
 0.000000  0.000000  1.000000
3x3 diagonal matrix initialized to Random
 0.696700  0.000000  0.000000
 0.000000  0.874314  0.000000
 0.000000  0.000000  0.996086
diagonal matrix initialized to the previous matrix
 0.696700  0.000000  0.000000
 0.000000  0.874314  0.000000
 0.000000  0.000000  0.996086
matrix initialized to the previous diagonal matrix
 0.696700  0.000000  0.000000
 0.000000  0.874314  0.000000
 0.000000  0.000000  0.996086
Symmetric matrix initialized to the previous diagonal matrix
 0.696700  0.000000  0.000000
 0.000000  0.874314  0.000000
 0.000000  0.000000  0.996086
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8x8 diag matrix
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 0.696700  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.874314  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.996086  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.726528  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.617335  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.089258  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.891702  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.463235
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sub diag matrix (2-5 x 2-5 of the previous diag matrix.
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 0.874314  0.000000  0.000000  0.000000
 0.000000  0.996086  0.000000  0.000000
 0.000000  0.000000  0.726528  0.000000
 0.000000  0.000000  0.000000  0.617335
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embedding sub matrix at 2
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 0.696700  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.617335  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.089258  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.891702  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.463235
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 0.696700  0.874314  0.996086  0.726528  0.617335
 0.089258  0.891702  0.463235  0.485849  0.042765
 0.361026  0.041587  0.153185  0.060528  0.124166
 0.360180  0.380030  0.638425  0.846644  0.200911
 0.267904  0.643543  0.135336  0.235230  0.887551
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b(diag)
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 0.300388  0.000000  0.000000  0.000000  0.000000
 0.000000  0.402109  0.000000  0.000000  0.000000
 0.000000  0.000000  0.483603  0.000000  0.000000
 0.000000  0.000000  0.000000  0.506828  0.000000
 0.000000  0.000000  0.000000  0.000000  0.215251
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a += b
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 0.997088  0.874314  0.996086  0.726528  0.617335
 0.089258  1.293811  0.463235  0.485849  0.042765
 0.361026  0.041587  0.636788  0.060528  0.124166
 0.360180  0.380030  0.638425  1.353472  0.200911
 0.267904  0.643543  0.135336  0.235230  1.102801
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a + b
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 1.297476  0.874314  0.996086  0.726528  0.617335
 0.089258  1.695919  0.463235  0.485849  0.042765
 0.361026  0.041587  1.120392  0.060528  0.124166
 0.360180  0.380030  0.638425  1.860299  0.200911
 0.267904  0.643543  0.135336  0.235230  1.318052
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End of DiagMatrix tests
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4 vector initialized to zero
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 0.000000
 0.000000
 0.000000
 0.000000
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3 vector initialized to identity
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 1.000000
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 1.000000
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3 vector initialized to Random
 0.696700
 0.874314
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Vector initialized to the previous vector
 0.696700
 0.874314
 0.996086
matrix initialized to the previous vector
 0.696700
 0.874314
 0.996086
Vector initialized to the previous matrix
 0.696700
 0.874314
 0.996086
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8 vector
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 0.696700
 0.874314
 0.996086
 0.726528
 0.617335
 0.089258
 0.891702
 0.463235
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sub vector (2-5 of the previous vector.
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 0.874314
 0.996086
 0.726528
 0.617335
embedding sub vector at 2
 0.696700
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 0.000000
 0.000000
 0.000000
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 0.617335
 0.089258
 0.891702
 0.463235
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 0.696700
 0.874314
 0.996086
 0.726528
 0.617335
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b(vector)
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 0.089258
 0.891702
 0.463235
 0.485849
 0.042765
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a += b
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 0.785958
 1.766016
 1.459321
 1.212378
 0.660100
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a + b
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 0.875216
 2.657718
 1.922555
 1.698227
 0.702866
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End of Vector tests

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 0.696700  0.874314  0.996086
 0.726528  0.617335  0.089258
 0.891702  0.463235  0.485849
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 0.042765  0.361026  0.041587  0.153185  0.060528
 0.124166  0.360180  0.380030  0.638425  0.846644
 0.200911  0.267904  0.643543  0.135336  0.235230
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nraw=3 ncol=5
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b(1,1)=0.042765 b(2,1)=0.124166
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Dm=
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 0.641364  0.000000  0.000000
 0.000000  0.688086  0.000000
 0.000000  0.000000  0.935861
 d =
-0.928951  0.133885  0.778791
 0.281670 -0.606815  0.016976
 0.883175 -0.357000 -1.291789
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nraw=6 ncol=6
382
sr(1,1)=0.983216 sr(2,1)=0.698402
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d=
384
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-0.928951  0.133885  0.778791
 0.281670 -0.606815  0.016976
 0.883175 -0.357000 -1.291789
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s=
388
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-0.928951  0.281670  0.883175
 0.281670 -0.606815 -0.357000
 0.883175 -0.357000 -1.291789
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Nr=6 Nc=6
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dr(1,1)=0.221173
sim=-0.196277vz=
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 0.000000
 0.000000
 0.000000
 0.000000
 0.000000
 0.000000
vi=
 1.000000
 1.000000
 1.000000
 1.000000
 1.000000
 1.000000

Nr=6
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vr(3)=0.524763
Normsq=1.767571Norm=1.329500
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Inv=0
a*m=
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 1.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  1.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  1.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  1.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  1.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  1.000000
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Lynn Garren committed
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m*a=
421
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 1.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  1.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  1.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  1.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  1.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  1.000000
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m*vt=
429
430
431
432
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 0.090171
 0.589619
 0.257833
 0.365371
 0.292948
 0.758397
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Lynn Garren committed
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v=
436
437
438
439
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441
 0.090171
 0.589619
 0.257833
 0.365371
 0.292948
 0.758397
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Lynn Garren committed
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444

Inv=0

445
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 1.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  1.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  1.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  1.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  1.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  1.000000
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Lynn Garren committed
451

452
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 1.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  1.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  1.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  1.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  1.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  1.000000
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Before diag:ss=
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 0.527787  0.541410  0.754199  0.349850  0.376642  0.415388
 0.541410  0.857229  0.180778  0.259189  0.424069  0.027078
 0.754199  0.180778  0.552115  0.123982  0.942373  0.747281
 0.349850  0.259189  0.123982  0.030180  0.497712  0.858051
 0.376642  0.424069  0.942373  0.497712  0.448362  0.126149
 0.415388  0.027078  0.747281  0.858051  0.126149  0.181983
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m=
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 0.453015  0.103375 -0.525926  0.108339 -0.701872  0.055949
 0.330786 -0.002779  0.356191  0.843919  0.092960  0.207027
 0.517756 -0.467683  0.463757 -0.273516 -0.159873 -0.444702
 0.310229 -0.556793 -0.341078 -0.156757  0.393141  0.546143
 0.439864  0.385071 -0.343207  0.026891  0.564459 -0.470226
 0.357161  0.558821  0.383840 -0.419472 -0.000741  0.486688
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Lynn Garren committed
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ss=
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477
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480
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 2.717883  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000 -1.134727  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000 -0.334427  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.820052  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.129445  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.399431
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Sim
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 0.527787  0.541410  0.754199  0.349850  0.376642  0.415388
 0.541410  0.857229  0.180778  0.259189  0.424069  0.027078
 0.754199  0.180778  0.552115  0.123982  0.942373  0.747281
 0.349850  0.259189  0.123982  0.030180  0.497712  0.858051
 0.376642  0.424069  0.942373  0.497712  0.448362  0.126149
 0.415388  0.027078  0.747281  0.858051  0.126149  0.181983
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Diff
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 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
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 1.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  1.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  1.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  1.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  1.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  1.000000
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Lynn Garren committed
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 1.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  1.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  1.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  1.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  1.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  1.000000
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Norm 1 =3.508589
Norm 2 =1.498644
Norm i =3.677143
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m=
518
519
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524
525
 0.434039  0.201624  0.575702  0.188751  0.832762  0.414576
 0.370231  0.277136  0.078427  0.208988  0.516030  0.107581
 0.925613  0.715573  0.917240  0.586665  0.282795  0.891898
 0.791448  0.364619  0.776465  0.075853  0.059716  0.366699
 0.078886  0.493605  0.488269  0.766301  0.936459  0.411420
 0.294043  0.520060  0.605323  0.503233  0.185761  0.765847
 0.232982  0.499258  0.972138  0.479861  0.816417  0.546854
 0.498185  0.964412  0.927707  0.589773  0.706791  0.628635
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a=
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529
530
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532
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534
535
-0.292379 -0.203840  0.349815  0.176624 -0.585865 -0.482221 -0.377700  0.031065
-0.249397 -0.053747 -0.524157  0.159000 -0.507702  0.002326  0.578572 -0.205863
-0.623515 -0.108433 -0.176061  0.285994  0.380846 -0.043567  0.024638  0.582351
-0.533138 -0.375155  0.199796 -0.231462  0.110117  0.456815 -0.103189 -0.500076
-0.053139  0.484983  0.013828  0.670150 -0.095843  0.422966 -0.300932 -0.184469
-0.198075  0.299980  0.022585  0.115511  0.432634 -0.603443  0.121367 -0.539333
-0.156942  0.337297  0.687360 -0.052011 -0.101839  0.117363  0.574611  0.179190
-0.335589  0.603403 -0.242504 -0.585668 -0.187357  0.007931 -0.275453  0.102124
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Lynn Garren committed
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m=
537
538
539
540
541
542
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544
-1.484508 -1.299872 -1.783502 -0.927173 -1.032222 -1.370002
 0.000000  0.875351  0.793747  0.898552  0.961194  0.668474
 0.000000  0.000000  0.617584  0.077128  0.389892  0.251296
 0.000000  0.000000  0.000000  0.418089  0.488808  0.228093
 0.000000  0.000000  0.000000  0.000000 -0.860550  0.200981
 0.000000  0.000000  0.000000  0.000000  0.000000 -0.289973
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
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546

a*m=
547
548
549
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553
554
 0.434039  0.201624  0.575702  0.188751  0.832762  0.414576
 0.370231  0.277136  0.078427  0.208988  0.516030  0.107581
 0.925613  0.715573  0.917240  0.586665  0.282795  0.891898
 0.791448  0.364619  0.776465  0.075853  0.059716  0.366699
 0.078886  0.493605  0.488269  0.766301  0.936459  0.411420
 0.294043  0.520060  0.605323  0.503233  0.185761  0.765847
 0.232982  0.499258  0.972138  0.479861  0.816417  0.546854
 0.498185  0.964412  0.927707  0.589773  0.706791  0.628635
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Lynn Garren committed
555
556

v=
557
558
559
560
561
562
563
564
 0.787096
 0.843232
 0.277169
 0.003680
 0.207692
 0.905633
 0.705978
 0.142911
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Lynn Garren committed
565
 m*vt=
566
567
568
569
570
571
572
573
 0.787096
 0.843232
 0.277169
 0.003680
 0.207692
 0.905633
 0.705978
 0.142911
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Lynn Garren committed
574
575

v=
576
577
578
579
580
581
582
583
 0.009467  0.494694  0.726547
 0.282788  0.937299  0.222807
 0.767523  0.630319  0.732648
 0.354116  0.713164  0.162473
 0.653920  0.437384  0.045741
 0.706759  0.266047  0.163803
 0.127755  0.389846  0.762413
 0.739455  0.879952  0.561701
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Lynn Garren committed
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 m*b=
585
586
587
588
589
590
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592
 0.009467  0.494694  0.726547
 0.282788  0.937299  0.222807
 0.767523  0.630319  0.732648
 0.354116  0.713164  0.162473
 0.653920  0.437384  0.045741
 0.706759  0.266047  0.163803
 0.127755  0.389846  0.762413
 0.739455  0.879952  0.561701
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595

Test was successful
sp=
596
597
598
 3.574120  0.000000  0.000000
 0.000000  5.590999  0.000000
 0.000000  0.000000  5.109765
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 spd=
600
601
602
 0.576736  0.696997 -0.426110
 0.379102  0.233689  0.895361
-0.723641  0.677926  0.129457
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Lynn Garren committed
603

604
condition = 100.131749
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spps=
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614
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619
620
 3.532912  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000 -1.313219  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  1.105801  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.831842  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.035283  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000 -0.447672  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000 -0.219130
sppss - sim =
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000
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Lynn Garren committed
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