# OptFindIIS

## OptFindIIS(opt, *newLp*)

Finds an Irreducibly Infeasible Subset of Constraints in a linear program «opt» defined using DefineOptimization or LpDefine.

An Irreducibly Infeasible Subset (IIS) of constraints is a subset of your constraints which contains no feasible solution, but which has the property that if any single constraint is removed, there will be feasible solutions. Thus, it is a minimal set of conflicting constraints.

When `OptStatusNum(opt, true)`

returns 0, it indicates that there are no feasible solutions -- that the set of constraints are contradictory. This function is useful for locating the source of the contradiction.

When called with a single parameter, a subset of the Constraints index is returned. If any constraint in that subset were to be eliminated, the resulting set of constraints would be feasible.

## Variable Bound reduction

It is possible also to reduce the lower and upper variable bounds, in addition to the constraints, to find a more constrained IIS. This is accomplished by specifying an optional boolean parameter, «newLp», to be true, e.g.:

`OptFindIIS(myLp, newLp: True)`

When the «newLp» parameter is specified as true, a new linear program object instance is created and returned. The components of this LP can be accessed using the OptInfo function, e.g.:

`OptInfo(myLp, "Constraints")`

`OptInfo(myLp, "lb")`

`OptInfo(myLp, "ub")`

The LP returned is infeasible, but if any single remaining variable bound, or any single constraint, were to be removed, the resulting LP would be feasible.

## History

This function was introduced in Analytica 4.3, the previous version was named LpFindIIS.

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