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Table 8 Numerical results for Example 4.3 with \(x^{0}=(1.0,1.5)\)

From: Smoothing approximation to the lower order exact penalty function for inequality constrained optimization

j

\(x^{j+1}\)

\(q_{j}\)

\(\epsilon_{j}\)

\(f_{1}(x^{j+1})\)

\(f_{2}(x^{j+1})\)

\(f_{0}(x^{j+1})\)

0

(2.330261,3.061875)

5

10−1

−0.1226776

−0.1131323

−5.392137

1

(2.329664,3.161611)

15

10−2

−0.018055

−0.016207

−5.491275

2

(2.329639,3.171941)

45

10−3

−0.007524

−0.005993

−5.501580

3

(2.329560,3.177804)

135

10−4

−0.001013

−0.000503

−5.507363

4

(2.329593,3.177793)

405

10−5

−0.001297

−0.000357

−5.507386

5

(2.329622,3.177781)

1215

10−6

−0.001544

−0.000234

−5.507403