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