Validate the feasibility of constraints in a converged solution

The following example sets the validation tolerance parameters, validates the converged solution and retrieves the validation indices.

p.controls.xslp_validationtol_a = 0.001
p.controls.xslp_validationtol_r = 0.001
p.validate ()
indexA = p.attributes.xslp_validationindex_a
indexR = p.attributes.xslp_validationindex_r

XSLPvalidate checks the feasibility of a converged solution against relative and absolute tolerances for each constraint. The left hand side and the right hand side of the constraint are calculated using the converged solution values. If the calculated values imply that the constraint is infeasible, then the difference ( D) is tested against the absolute and relative validation tolerances.
If D < XSLP_VALIDATIONTOL_A
then the constraint is within the absolute validation tolerance. The total positive ( TPos) and negative contributions ( TNeg) to the left hand side are also calculated.
If D < MAX(ABS(TPos), ABS(TNeg))* XSLP_VALIDATIONTOL_R
then the constraint is within the relative validation tolerance. For each constraint which is outside both the absolute and relative validation tolerances, validation factors are calculated which are the factors by which the infeasibility exceeds the corresponding validation tolerance; the smallest factor is printed in the validation report.
The validation index xslp_validationindex_a is the largest absolute validation factor multiplied by the absolute validation tolerance; the validation index xslp_validationindex_r is the largest relative validation factor multiplied by the relative validation tolerance.

xslp_validationindex_A, xslp_validationindex_R, xslp_validationtol_A, xslp_validationtol_R