E04TCF Example Program Results
First solve the problem with the outliers
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E04GG, Nonlinear least squares method for bound-constrained problems
Status: converged, an optimal solution was found
Value of the objective 1.05037E+00
Norm of gradient 8.78014E-06
Norm of scaled gradient 6.05781E-06
Norm of step 1.47886E-01
Primal variables:
idx Lower bound Value Upper bound
1 -inf 3.61301E-01 inf
2 -inf 9.10227E-01 inf
3 -inf 3.42138E-03 inf
4 -inf -6.08965E+00 inf
5 -inf 6.24881E-04 inf
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Now remove the outlier residuals from the problem handle
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E04GG, Nonlinear least squares method for bound-constrained problems
Status: converged, an optimal solution was found
Value of the objective 5.96811E-02
Norm of gradient 1.19914E-06
Norm of scaled gradient 3.47087E-06
Norm of step 3.49256E-06
Primal variables:
idx Lower bound Value Upper bound
1 -inf 3.53888E-01 inf
2 -inf 1.06575E+00 inf
3 -inf 1.91383E-03 inf
4 -inf 2.17299E-01 inf
5 -inf 5.17660E+00 inf
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Assuming the outliers points are measured again
we can enable the residuals and adjust the values
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E04GG, Nonlinear least squares method for bound-constrained problems
Status: converged, an optimal solution was found
Value of the objective 6.51802E-02
Norm of gradient 2.57338E-07
Norm of scaled gradient 7.12740E-07
Norm of step 1.56251E-05
Primal variables:
idx Lower bound Value Upper bound
1 3.00000E-01 3.00000E-01 3.00000E-01
2 -inf 1.06039E+00 inf
3 -inf 2.11765E-02 inf
4 -inf 2.11749E-01 inf
5 -inf 5.16415E+00 inf