# LpFindIIS

*Deprecated as of Analytica 4.3. Renamed to OptFindIIS.*

## LpFindIIS(lp)

Finds an Irreducibly Infeasile Subset of Constraints in a linear program defined using LpDefine.

An Irreducibly Infeasibe 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 LpStatusNum returns 5, 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 as shown above, 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

**LpFindIIS**(lp; newLp: optional boolean)

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 parameter, «newLp», to be true, e.g.:

`LpFindIIS(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 SolverInfo function, e.g.:

`SolverInfo(item: "Constraints", lp:my Lp)`

`SolverInfo(item: "lb", lp: myLp)`

`SolverInfo(item: "ub", lp: myLp)`

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

Introduced in Analytica 4.0.

Deprecated as of Analytica 4.3. Renamed to OptFindIIS.

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