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Optimization<br />

Normal and Elastic Modes of Termination<br />

The column Slack is the value of the global constraint violation — the norm of the artificial<br />

variables (v 1 , v 2 ) added to the upper bound UBOUND for each constraint. The constraints<br />

become:<br />

• (x 1 + 1) 2 + x 2<br />

2<br />

≥ 0.75 + v 1 .<br />

• (x 1 − 1) 2 + x 2<br />

2<br />

≤ 0.75 + v 2 .<br />

The value of the slack becomes strictly positive after the 6th iteration. This phenomenon can be<br />

interpreted as follows:<br />

• After the 6th iteration the algorithm detected that the problem is locally infeasible.<br />

• Two artificial variables are then introduced such that the constraints become consistent.<br />

Graphically, this can be interpreted as increasing the radius of the two circles such that<br />

they do intersect.<br />

• The goal of the algorithm is then to find a solution point such that the constraint<br />

violation is minimized.<br />

The final solution is given in the following output:<br />

Section 2 - Status Of Variables<br />

-------------------------------<br />

Name Status Init Value Final Value<br />

X1 FR -2.0000e+00 -5.0009e-07<br />

X2 FR -2.0000e+00 1.6166e-05<br />

Section 3 - Status Of Objectives<br />

--------------------------------<br />

*** Inequality Constraints in simulator id(0)<br />

Type Name Init Value Opt Value Violation<br />

UPR CIRCLE1 *** 1.3000e+01 1.0000e+00 *** 2.5000e-01<br />

UPR CIRCLE2 *** 5.0000e+00 1.0000e-00 *** 2.5000e-01<br />

Constraint violations have been minimized. The actual value of the violation is v 1 = 0.25 for the<br />

first constraint and v 2 = 0.25 for the second. The solution point is approximately the origin (0,<br />

0). The algorithm automatically increased the radius of each circle such that the feasible domain<br />

becomes a non empty set. The feasible set reduces to the singleton (0, 0).<br />

Related Topics<br />

Constraint Violations<br />

Eldo® User's Manual, 15.3 663

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