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- x = 1
- x =
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 0.99999
- 1.00002
- 0.99998
- 1.00001
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00002
- 0.99992
- 1.00023
- 0.99962
- 1.00037
- 0.99981
- 1.00004
- x =
- 1.00000
- 1.00000
- 0.99999
- 1.00011
- 0.99936
- 1.00225
- 0.99513
- 1.00662
- 0.99452
- 1.00253
- 0.99950
- warning: matrix singular to machine precision, rcond = 2.40932e-17
- warning: matrix singular to machine precision, rcond = 2.63277e-17
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00004
- 0.99980
- 1.00059
- 0.99906
- 1.00065
- 1.00028
- 0.99914
- 1.00059
- 0.99986
- warning: matrix singular to machine precision, rcond = 2.33995e-18
- x =
- 1.00000
- 1.00000
- 1.00005
- 0.99940
- 1.00404
- 0.98418
- 1.03669
- 0.95259
- 1.02186
- 1.02534
- 0.95500
- 1.02675
- 0.99409
- warning: matrix singular to machine precision, rcond = 1.70819e-19
- x =
- 1.00000
- 1.00000
- 0.99997
- 1.00036
- 0.99784
- 1.00736
- 0.98608
- 1.01190
- 1.00272
- 0.98795
- 1.00135
- 1.01224
- 0.98948
- 1.00277
- warning: matrix singular to machine precision, rcond = 1.5434e-18
- x =
- 1.00000
- 1.00000
- 0.99999
- 1.00007
- 0.99964
- 1.00106
- 0.99838
- 1.00079
- 1.00094
- 0.99914
- 0.99913
- 1.00077
- 1.00094
- 0.99876
- 1.00038
- warning: matrix singular to machine precision, rcond = 4.6391e-19
- x =
- 1.00000
- 1.00000
- 1.00004
- 0.99942
- 1.00412
- 0.98358
- 1.03729
- 0.95762
- 1.00584
- 1.03373
- 0.98828
- 0.96860
- 1.01155
- 1.03422
- 0.96659
- 1.00911
- warning: matrix singular to machine precision, rcond = 4.70916e-19
- x =
- 1.00000
- 1.00000
- 1.00000
- 0.99998
- 1.00011
- 0.99957
- 1.00089
- 0.99918
- 0.99982
- 1.00077
- 1.00017
- 0.99930
- 0.99962
- 1.00063
- 1.00055
- 0.99911
- 1.00029
- warning: matrix singular to machine precision, rcond = 5.83708e-20
- x =
- 1.00000
- 1.00000
- 0.99999
- 1.00013
- 0.99924
- 1.00245
- 0.99585
- 1.00246
- 1.00213
- 0.99778
- 0.99778
- 1.00119
- 1.00263
- 1.00022
- 0.99741
- 0.99869
- 1.00317
- 0.99887
- warning: matrix singular to machine precision, rcond = 2.20517e-19
- x =
- 1.00000
- 1.00000
- 0.99997
- 1.00039
- 0.99777
- 1.00691
- 0.98930
- 1.00451
- 1.00698
- 0.99645
- 0.99290
- 0.99971
- 1.00638
- 1.00478
- 0.99714
- 0.99289
- 0.99883
- 1.00876
- 0.99633
- warning: matrix singular to machine precision, rcond = 1.99525e-19
- x =
- 1.00000
- 1.00000
- 0.99990
- 1.00145
- 0.98955
- 1.04203
- 0.90607
- 1.09790
- 1.00511
- 0.91738
- 0.99031
- 1.07035
- 1.04208
- 0.95451
- 0.93490
- 0.99866
- 1.07084
- 1.03788
- 0.90837
- 1.03270
- x = 1
- x =
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- 1.00000
- x =
- 1.00000
- 1.00000
- 1.00000
- 1.00002
- 0.99990
- 1.00020
- 0.99975
- 1.00014
- 0.99997
- x =
- 1.00000
- 1.00000
- 0.99996
- 1.00043
- 0.99789
- 1.00531
- 0.99103
- 1.00809
- 0.99573
- 1.00100
- x =
- 1.00000
- 1.00000
- 0.99995
- 1.00026
- 0.99902
- 1.00586
- 1.00684
- 1.02441
- 1.01074
- 0.99756
- 0.99915
- warning: inverse: matrix singular to machine precision, rcond = 2.40932e-17
- x =
- 1.00000
- 0.99966
- 1.01082
- 0.84851
- 2.11133
- -4.08984
- 15.62500
- -26.18750
- 32.78125
- -22.21875
- 10.99219
- -0.76855
- warning: inverse: matrix singular to machine precision, rcond = 2.33995e-18
- x =
- 1.00000
- 1.00000
- 1.00017
- 1.00171
- 0.90625
- 1.28906
- 2.43750
- 2.00000
- 2.87500
- -0.75000
- 0.12500
- 0.31250
- 1.18750
- warning: inverse: matrix singular to machine precision, rcond = 1.70819e-19
- x =
- 1.00000
- 1.00022
- 0.99878
- 1.06250
- 0.82031
- 1.84375
- 0.11719
- -12.00000
- 51.00000
- -54.00000
- 110.00000
- -70.00000
- 12.00000
- -6.37500
- warning: inverse: matrix singular to machine precision, rcond = 1.5434e-18
- x =
- 1.00000
- 1.00001
- 0.99907
- 1.00806
- 1.00781
- 1.38672
- 1.84180
- 0.81250
- 0.37500
- -8.00000
- 13.00000
- -6.25000
- 7.18750
- 1.51562
- 0.71875
- warning: inverse: matrix singular to machine precision, rcond = 4.6391e-19
- x =
- 1.00000
- 1.00000
- 1.00024
- 0.98047
- 1.32812
- 0.12500
- 6.00000
- -5.00000
- 9.25000
- -3.75000
- 9.25000
- -10.50000
- 57.00000
- -23.00000
- 4.50000
- 0.50000
- warning: inverse: matrix singular to machine precision, rcond = 4.70916e-19
- x =
- 1.00000
- 0.99996
- 1.00061
- 1.00977
- 1.12500
- 0.84375
- 2.37500
- -0.50000
- 1.87500
- -13.00000
- 15.00000
- -0.87500
- 10.00000
- 0.12500
- 6.75000
- -3.12500
- 2.18750
- warning: inverse: matrix singular to machine precision, rcond = 5.83708e-20
- x =
- 1.00000
- 0.99998
- 0.99951
- 0.99414
- 0.89062
- -0.25000
- 12.00000
- -18.00000
- 26.00000
- -21.00000
- 7.00000
- -7.93750
- -7.00000
- -12.00000
- 48.00000
- -48.00000
- 88.00000
- 2.00000
- warning: inverse: matrix singular to machine precision, rcond = 2.20517e-19
- x =
- 1.00000
- 1.00000
- 1.00118
- 0.99292
- 1.23828
- 0.92188
- 11.25000
- -3.00000
- 8.75000
- -8.87500
- -0.25000
- -12.56250
- 1.71875
- -16.00000
- -6.00000
- 120.00000
- -3.50000
- 23.68750
- 1.75000
- warning: inverse: matrix singular to machine precision, rcond = 1.99525e-19
- x =
- 1.00000
- 1.00002
- 0.99854
- 1.01270
- 0.88281
- -0.31250
- 1.50000
- -7.75000
- 7.25000
- -11.75000
- -4.25000
- 5.50000
- 8.00000
- 15.00000
- -8.00000
- -40.00000
- -20.00000
- -60.00000
- 18.00000
- 3.37500
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