Algorithm-CurveFit

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examples/examplefit.data  view on Meta::CPAN

-51 8.12421359513838
-50 8.73825619024171
-49 9.2649890179756
-48 9.69914913804007
-47 10.0363985660297
-46 10.2733676171398
-45 10.4076885749433
-44 10.4380193488304
-43 10.3640568837345
-42 10.186540188158
-41 9.90724295024391
-40 9.52895581567012
-39 9.05545850444016
-38 8.49148204517044
-37 7.84266150421616
-36 7.11547968195097
-35 6.31720233876859
-34 5.4558055980067
-33 4.53989625115908
-32 3.57862576166006
-31 2.58159882648693

examples/examplefit.data  view on Meta::CPAN

-28 -0.523214479553077
-27 -1.56158237628711
-26 -2.5843474581078
-25 -3.58129059439876
-24 -4.54245065888777
-23 -5.45822405792773
-22 -6.31946068642986
-21 -7.11755535268916
-20 -7.84453375861539
-19 -8.49313217628363
-18 -9.05687002470269
-17 -9.53011462163811
-16 -9.90813746351118
-15 -10.1871614710437
-14 -10.3643987285853
-13 -10.4380783400457
-12 -10.4074641231023
-11 -10.2728619648911
-10 -10.0356167656834
-9 -9.69809900108683
-8 -9.26368103703672

examples/examplefit.data  view on Meta::CPAN

42 -7.24497526011378
43 -7.95926185125462
44 -8.5940221289599
45 -9.14291377835863
46 -9.60045245552948
47 -9.96206658525234
48 -10.2241430386767
49 -10.3840632345111
50 -10.4402293030211
51 -10.3920800514163
52 -10.2400965711027
53 -9.9857974307765
54 -9.63172350338778
55 -9.1814125785777
56 -8.63936401425397
57 -8.01099378049386
58 -7.30258034496153
59 -6.52120194053447
60 -5.67466584194036
61 -4.77143035804871
62 -3.82052031924462

t/01basic.t  view on Meta::CPAN

          '2.01347045848792',
          '1.95318857620762',
          '2.02634173212117',
          '1.99293017711835',
          '2.03645084082953',
          '2.04744711238729',
          '2.00237392569881',
          '1.96389441960213',
          '1.96151508693936',
          '2.00718155279406',
          '1.9566617250324',
          '2.03461482573735',
          '1.94195043756795',
          '2.11376078716156',
          '2.08110607851905',
          '2.01873394896203',
          '1.94894118086398',
          '2.01106036667956',
          '2.0006307614176',
          '2.10677283426554',
          '2.07761536539796',

t/02bad_deriv.t  view on Meta::CPAN

  0.8955 0.9042 0.9130 0.9218 0.9306 0.9394 0.9481 0.9569 0.9657
  0.9745 0.9832 0.9920 1.0008 1.0096 1.0184 1.0271 1.0359 1.0447
  1.0535 1.0623 1.0710 1.0798 1.0886 1.0974 1.1062 1.1149 1.1237
  1.1325 1.1500
);

my @ydata = qw(
  0.8255 0.7894 0.7728 0.7547 0.7156 0.7064 0.6861 0.6720 0.6495
  0.6376 0.6228 0.5929 0.5869 0.5599 0.5388 0.5272 0.4980 0.4775
  0.4610 0.4383 0.4168 0.3984 0.3779 0.3582 0.3426 0.3253 0.3069
  0.2922 0.2754 0.2614 0.2619 0.2476 0.2367 0.2271 0.2189 0.2176
  0.2171 0.2198 0.2260 0.2483 0.2595 0.2572 0.2858 0.2950 0.3134
  0.3176 0.3792
);

my @parameters = ( 
                [ 's', 4.0, 0.01 ],
                [ 'c', 0.01, 0.001 ],
                [ 'y0', 0.1, 0.001 ],
                [ 'x0', 1.0535, 0.01 ],
              );