IloMPModeler (CPLEX Java API Reference Manual)

All Superinterfaces:

IloAddable, IloModel, IloModeler

All Known Implementing Classes:

IloCplex, IloCplexModeler
```
public interface IloMPModeler
extends IloModeler
```
IloMPModeler is an extension of the IloModeler modeling interface for mathematical programming (MP).
It adds support for several modeling object interfaces specific to mathematical programming, including LP matrices, semi-continuous variables, and special ordered sets (SOSs). It extends the functionality of IloModeler to column-wise modeling and supports modification of variable types and expressions of ranged constraints and objective functions. This interface is implemented by the IloCplex optimizer class.

See Also:
IloCplex, IloModeler

Method Summary

Methods
Modifier and Type	Method and Description
`IloNumExpr`	`abs(IloNumExpr expr)` Returns an expression representing the absolute value of its argument, the expression specified by `expr`.
`IloLPMatrix`	`addLPMatrix()` Creates, returns, and adds to the invoking model an empty `IloLPMatrix` object.
`IloLPMatrix`	`addLPMatrix(java.lang.String name)` Creates, returns, and adds an empty `IloLPMatrix` object, with the specified name, to the invoking model.
`IloObjective`	`addMaximize()` Creates and returns an empty maximization objective function and adds it to the invoking model.
`IloObjective`	`addMaximize(java.lang.String name)` Creates and returns an empty maximization objective function with the specified `name` and adds it to the invoking model.
`IloObjective`	`addMinimize()` Creates and returns an empty minimization objective function and adds it to the invoking model.
`IloObjective`	`addMinimize(java.lang.String name)` Creates and returns an empty minimization objective function with the specified `name` and adds the empty objective to the invoking model.
`IloObjective`	`addObjective(IloObjectiveSense sense)` Creates and returns an empty objective function with the sense specified by `sense` and adds it to the invoking model.
`IloObjective`	`addObjective(IloObjectiveSense sense, java.lang.String name)` Creates and returns an empty objective function with the specified `name` and with the specified `sense` and adds it to the invoking model.
`IloRange`	`addRange(double lb, double ub)` Creates, returns, and adds to the invoking model an empty `IloRange` object.
`IloRange`	`addRange(double lb, double ub, java.lang.String name)` Creates, returns, and adds to the invoking model an empty `IloRange` object with the specified `name` and upper and lower bounds.
`IloSOS1`	`addSOS1(IloNumVar[] var, double[] val)` Creates an SOS of type 1 with the specified variables and weights and adds it to the invoking model.
`IloSOS1`	`addSOS1(IloNumVar[] var, double[] val, int start, int num)` Creates an SOS of type 1 with `num` of the specified variables and weights, starting from the index specified by `start`, and adds the SOS to the invoking model.
`IloSOS1`	`addSOS1(IloNumVar[] var, double[] val, int start, int num, java.lang.String name)` Creates an SOS of type 1 with the `num` specified variables, weights, and names, starting from the index specified by `start`, and adds the SOS to the invoking mode.
`IloSOS1`	`addSOS1(IloNumVar[] var, double[] val, java.lang.String name)` Creates an SOS of type 1 with the specified variables, weights, and name, and adds the SOS to the invoking model.
`IloSOS2`	`addSOS2(IloNumVar[] var, double[] val)` Creates an SOS of type 2 with the specified variables and weights and adds the new SOS to the invoking model.
`IloSOS2`	`addSOS2(IloNumVar[] var, double[] val, int start, int num)` Creates an SOS of type 2 with `num` of the specified variables and weights, starting from the index specified by `start`, and adds the SOS to the invoking model.
`IloSOS2`	`addSOS2(IloNumVar[] var, double[] val, int start, int num, java.lang.String name)` Creates an SOS of type 2 with `num` of the specified variables and weights, starting from the index specified by `start`, and adds the new SOS along with its name to the invoking model.
`IloSOS2`	`addSOS2(IloNumVar[] var, double[] val, java.lang.String name)` Creates an SOS of type 2 with the specified variables, weights, and name, and adds the new SOS to the invoking model.
`void`	`addToExpr(IloObjective obj, IloNumExpr expr)` Adds a term (which may be an expression itself) to the expression of the specified `IloObjective` object.
`void`	`addToExpr(IloRange rng, IloNumExpr expr)` Adds a term (which may be an expression itself) to the expression of the specified `IloRange` object.
`IloIntVar`	`boolVar(IloColumn column)` Creates a new Boolean (or binary) modeling variable for column-wise modeling.
`IloIntVar`	`boolVar(IloColumn column, java.lang.String name)` Creates a new Boolean (or binary) modeling variable, with the specified name, for column-wise modeling.
`IloIntVar[]`	`boolVarArray(IloColumnArray cols)` Creates and returns an array of Boolean (or binary) modeling variables for column-wise modeling.
`IloIntVar[]`	`boolVarArray(IloColumnArray cols, java.lang.String[] name)` Creates and returns an array of Boolean (or binary) modeling variables with names for column-wise modeling.
`IloColumn`	`column(IloLPMatrix lp)` Creates an `IloColumn` object suitable for adding a new variable to an LP matrix as an empty column.
`IloColumn`	`column(IloLPMatrix lp, int[] ind, double[] val)` Creates an `IloColumn` object suitable for adding a new variable to an LP matrix as a new column.
`IloColumn`	`column(IloLPMatrix lp, int[] ind, double[] val, int start, int num)` Creates an `IloColumn` object suitable for adding a new variable to an LP matrix as a new column.
`IloColumn`	`column(IloObjective obj, double val)` Creates an `IloColumn` object suitable for adding a new variable to the objective `obj` as a linear term with coefficient `val`.
`IloColumn`	`column(IloRange rng, double val)` Creates an `IloColumn` object suitable for adding a new variable to constraint `rng` as a linear term with coefficient `val`.
`IloColumnArray`	`columnArray(IloLPMatrix lp, int num)` Creates an `IloColumnArray` object suitable for adding new variables to an `IloLPMatrix` as empty columns.
`IloColumnArray`	`columnArray(IloLPMatrix lp, int num, int[][] ind, double[][] val)` Creates an `IloColumnArray` object suitable for adding new variables to an `IloLPMatrix` as columns.
`IloColumnArray`	`columnArray(IloObjective obj, double[] val)` Creates an `IloColumnArray` object suitable for adding new variables to the objective `obj` as linear terms with coefficients specified in `val`.
`IloColumnArray`	`columnArray(IloObjective obj, double[] val, int start, int num)` Creates an `IloColumnArray` object suitable for adding `num` new variables to the objective `obj` as linear terms with coefficients specified in `val`.
`IloColumnArray`	`columnArray(IloRange rng, double[] val)` Creates an `IloColumnArray` suitable for adding new variables to constraint `rng` as linear terms with coefficients specified in `val`.
`IloColumnArray`	`columnArray(IloRange rng, double[] val, int start, int num)` Creates an `IloColumnArray` suitable for adding `num` new variables to constraint `IloRange` as linear terms with coefficients specified in `val`.
`IloConversion`	`conversion(IloNumVar[] var, IloNumVarType type)` Creates and returns an `IloConversion` object for converting the type of the variables in array `var` in a model.
`IloConversion`	`conversion(IloNumVar[] var, IloNumVarType[] type)` Creates and returns an `IloConversion` object for converting the type of the variables in the array `var` in a model.
`IloConversion`	`conversion(IloNumVar[] var, IloNumVarType[] type, java.lang.String name)` Creates and returns an `IloConversion` object, with the specified name, for converting the type of the variables in array `var` in a model.
`IloConversion`	`conversion(IloNumVar[] var, IloNumVarType type, java.lang.String name)` Creates and returns an `IloConversion` object with the specified type and name, for converting the type of the variables in array `var` in a model.
`IloConversion`	`conversion(IloNumVar var, IloNumVarType type)` Creates and returns an `IloConversion` object for converting the type of a variable in a model.
`IloConversion`	`conversion(IloNumVar var, IloNumVarType type, java.lang.String name)` Creates and returns an `IloConversion` object, with the specified name, for converting the type of a variable in a model.
`void`	`delete(IloCopyable obj)` Deletes an object from a model.
`void`	`delete(IloCopyable[] obj)` Deletes the modeling objects in an array `obj` from the invoking model.
`void`	`delete(IloCopyable[] obj, int start, int num)` Deletes the modeling objects in `obj[start]` through `obj[start+num-1]` from a model.
`IloModel`	`getModel()` Returns the active model.
`IloIntVar`	`intVar(IloColumn column, int lb, int ub)` Creates an integer modeling variable, with specified upper and lower bound, for column-wise modeling.
`IloIntVar`	`intVar(IloColumn column, int lb, int ub, java.lang.String name)` Creates an integer modeling variable with specified upper bound, lower bound, and name for column-wise modeling.
`IloIntVar[]`	`intVarArray(IloColumnArray cols, int[] lb, int[] ub)` Creates and returns integer modeling variables, with individually specified upper bound, lower bound, and name, for column-wise modeling.
`IloIntVar[]`	`intVarArray(IloColumnArray cols, int[] lb, int[] ub, java.lang.String[] name)` Creates and returns integer modeling variables, each with individually specified upper bound, lower bound, and name, for column-wise modeling.
`IloIntVar[]`	`intVarArray(IloColumnArray cols, int lb, int ub)` Creates and returns integer modeling variables, all with the same upper bound and with the same lower bound, for column-wise modeling.
`IloIntVar[]`	`intVarArray(IloColumnArray cols, int lb, int ub, java.lang.String[] name)` Creates and returns integer modeling variables, all with the same specified upper bound and lower bound, with individually specified names, for column-wise modeling.
`IloLPMatrix`	`LPMatrix()` Creates and returns an empty `IloLPMatrix` object.
`IloLPMatrix`	`LPMatrix(java.lang.String name)` Creates and returns an empty `IloLPMatrix` object with the specified name.
`IloLQIntExpr`	`lqIntExpr()` Creates and returns an integer quadratic expression.
`IloLQNumExpr`	`lqNumExpr()` Creates and returns a quadratic expression.
`IloObjective`	`maximize()` Creates and returns an empty maximization objective function.
`IloObjective`	`maximize(java.lang.String name)` Creates and returns an empty maximization objective function.
`IloObjective`	`minimize()` Creates and returns an empty minimization objective function.
`IloObjective`	`minimize(java.lang.String name)` Creates and returns an empty minimization objective function.
`IloNumVar`	`numVar(IloColumn column, double lb, double ub)` Creates a continuous modeling variable, of type `Float` with upper bound and lower bound as specified, for column-wise modeling.
`IloNumVar`	`numVar(IloColumn column, double lb, double ub, IloNumVarType type)` Creates and returns a new modeling variable for column-wise modeling.
`IloNumVar`	`numVar(IloColumn column, double lb, double ub, IloNumVarType type, java.lang.String name)` Creates and returns a new modeling variable with the specified `name`, type, lower bound, and upper bound for column-wise modeling in the target `column`.
`IloNumVar`	`numVar(IloColumn column, double lb, double ub, java.lang.String name)` Creates a continuous modeling variable, of type `Float` with upper bound, lower bound, and name as specified, for column-wise modeling.
`IloNumVar[]`	`numVarArray(IloColumnArray cols, double[] lb, double[] ub)` Creates and returns continuous modeling variables, all of the same type `Float` with individually specified upper bound, and individually specified lower bound, for column-wise modeling.
`IloNumVar[]`	`numVarArray(IloColumnArray cols, double[] lb, double[] ub, IloNumVarType[] type)` Creates and returns modeling variables with the individual type specified by the corresponding entry in the array `type`, and individual upper and lower bounds as specified in those arrays, for column-wise modeling.
`IloNumVar[]`	`numVarArray(IloColumnArray cols, double[] lb, double[] ub, IloNumVarType[] type, java.lang.String[] name)` Creates and returns modeling variables with the individual type specified by the corresponding entry in the array `type`, with individual upper and lower bounds as specified in those arrays, with the name specified individually by the corresponding entry in the array `name`, for column-wise modeling.
`IloNumVar[]`	`numVarArray(IloColumnArray cols, double[] lb, double[] ub, java.lang.String[] name)` Creates and returns continuous modeling variables, all of type `Float` with individually specified upper bound, lower bound, and name, for column-wise modeling.
`IloNumVar[]`	`numVarArray(IloColumnArray cols, double lb, double ub)` Creates and returns continuous modeling variables, all of type `Float`, all with same upper bound, all with the same lower bound, for column-wise modeling.
`IloNumVar[]`	`numVarArray(IloColumnArray cols, double lb, double ub, IloNumVarType type)` Creates and returns modeling variables, all of the same specified `type`, all with same upper bound, all with the same lower bound, as specified, for column-wise modeling.
`IloNumVar[]`	`numVarArray(IloColumnArray cols, double lb, double ub, IloNumVarType type, java.lang.String[] name)` Creates and returns an array of modeling variables with distinctive names, all with the same lower bound, and all with the same upper bound, as specified, for column-wise modeling.
`IloNumVar[]`	`numVarArray(IloColumnArray cols, double lb, double ub, java.lang.String[] name)` Creates and returns continuous modeling variables, all of type `Float`, with the same specified bounds, but with individually specified names, for column-wise modeling.
`IloObjective`	`objective(IloObjectiveSense sense)` Creates and returns an empty objective function with the sense specified by `sense`.
`IloObjective`	`objective(IloObjectiveSense sense, java.lang.String name)` Creates and returns an empty objective function with the sense specified by `sense` and with the name specified by `name`.
`IloNumExpr`	`piecewiseLinear(IloNumExpr expr, double[] points, double[] slopes, double a, double fa)` Creates an expression node that represents a continuous or discontinuous piecewise linear function.
`IloNumExpr`	`piecewiseLinear(IloNumExpr expr, double[] points, int startPoints, int num, double[] slopes, int startSlopes, double a, double fa)` Creates an expression node to represent a continuous or discontinuous piecewise linear function.
`IloNumExpr`	`piecewiseLinear(IloNumExpr expr, double firstSlope, double[] points, double[] values, double lastSlope)` Creates and returns a numeric expression representing a piecewise linear function based on the slope of the first and last segment as well as the coordinates of breakpoints.
`IloNumExpr`	`piecewiseLinear(IloNumExpr expr, double firstSlope, double[] points, int startPoints, int num, double[] values, int startSlopes, double lastSlope)` Creates and returns a numeric expression representing a piecewise linear function from a range of breakpoints specified by their x-coordinate and the slope of the segment.
`IloQuadIntExpr`	`quadIntExpr()` Creates and returns an integer quadratic expression.
`IloQuadNumExpr`	`quadNumExpr()` Creates and returns a quadratic expression.
`IloRange`	`range(double lb, double ub)` Creates and returns an empty `IloRange` object with the specified upper and lower bound.
`IloRange`	`range(double lb, double ub, java.lang.String name)` Creates and returns an empty `IloRange` object with the specified `name` and upper and lower bounds.
`IloSemiContVar`	`semiContVar(double sclb, double ub, IloNumVarType type)` Creates and returns a new semi-continuous modeling variable with a specified semi-continuous lower bound, upper bound, and type.
`IloSemiContVar`	`semiContVar(double sclb, double ub, IloNumVarType type, java.lang.String name)` Creates and returns a new semi-continuous modeling variable with specified bounds, type, and name.
`IloSemiContVar`	`semiContVar(IloColumn column, double sclb, double ub, IloNumVarType type)` Creates and returns a new semi-continuous modeling variable with specified type and bounds, for column-wise modeling.
`IloSemiContVar`	`semiContVar(IloColumn column, double sclb, double ub, IloNumVarType type, java.lang.String name)` Creates and returns a new semi-continuous modeling variable, with specified bounds, type, and name, for column-wise modeling.
`IloSemiContVar[]`	`semiContVarArray(IloColumnArray cols, double[] sclb, double[] ub, IloNumVarType[] type)` Creates and returns an array of semi-continuous modeling variables, with individually specified type, semi-continuous lower bound, and upper bound, for column-wise modeling.
`IloSemiContVar[]`	`semiContVarArray(IloColumnArray cols, double[] sclb, double[] ub, IloNumVarType[] type, java.lang.String[] name)` Creates and returns an array of semi-continuous modeling variables, with individually specified type, semi-continuous lower bound, upper bound, and name, for column-wise modeling.
`IloSemiContVar[]`	`semiContVarArray(IloColumnArray cols, double sclb, double ub, IloNumVarType type)` Creates and returns an array of semi-continuous modeling variables, all with the same type and bounds, for column-wise modeling.
`IloSemiContVar[]`	`semiContVarArray(IloColumnArray cols, double sclb, double ub, IloNumVarType type, java.lang.String[] name)` Creates and returns an array of semi-continuous modeling variables with individually specified type, semi-continuous lower bound, upper bound, and name, for column-wise modeling.
`IloSemiContVar[]`	`semiContVarArray(int n, double[] sclb, double[] ub, IloNumVarType[] type)` Creates and returns `n` semi-continuous modeling variables, with individually specified type, semi-continuous lower bound, and upper bound.
`IloSemiContVar[]`	`semiContVarArray(int n, double[] sclb, double[] ub, IloNumVarType[] type, java.lang.String[] name)` Creates and returns `n` semi-continuous modeling variables, all of the same type, with the same semi-continuous lower bound and upper bound, and individually specified names.
`IloSemiContVar[]`	`semiContVarArray(int n, double sclb, double ub, IloNumVarType type)` Creates and returns `n` semi-continuous modeling variables, all of the same type, with the same semi-continuous lower bound and upper bound.
`IloSemiContVar[]`	`semiContVarArray(int n, double sclb, double ub, IloNumVarType type, java.lang.String[] name)` Creates and returns `n` semi-continuous modeling variables, all with the same type, semi-continuous lower bound, and upper bound, but with individually specified names.
`void`	`setLinearCoef(IloObjective obj, double val, IloNumVar var)` Sets linear coefficient for variable `var` to `val` in the expression of the specified `IloObjective` object.
`void`	`setLinearCoef(IloObjective obj, IloNumVar var, double val)` Sets linear coefficient for variable `var` to `val` in the expression of the specified `IloObjective` object.
`void`	`setLinearCoef(IloRange rng, double val, IloNumVar var)` Sets linear coefficient for variable `var` to `val` in the expression of the specified `IloRange` object.
`void`	`setLinearCoef(IloRange rng, IloNumVar var, double val)` Sets linear coefficient for variable `var` to `val` in the expression of the specified `IloRange` object.
`void`	`setLinearCoefs(IloObjective obj, double[] val, IloNumVar[] var)` Sets linear coefficients for variables in the expression of the specified `IloObjective` object.
`void`	`setLinearCoefs(IloObjective obj, double[] val, IloNumVar[] var, int start, int num)` Sets linear coefficients for variables in the expression of the specified `IloObjective` object.
`void`	`setLinearCoefs(IloObjective obj, IloNumVar[] var, double[] val)` Sets linear coefficients for variables in the expression of the specified `IloObjective` object.
`void`	`setLinearCoefs(IloObjective obj, IloNumVar[] var, double[] val, int start, int num)` Sets linear coefficients for variables in the expression of the specified `IloObjective` object.
`void`	`setLinearCoefs(IloRange rng, double[] val, IloNumVar[] var)` Sets linear coefficients for variables in the expression of the specified `IloRange` object.
`void`	`setLinearCoefs(IloRange rng, double[] val, IloNumVar[] var, int start, int num)` Sets linear coefficients for variables in the expression of the specified `IloRange` object.
`void`	`setLinearCoefs(IloRange rng, IloNumVar[] var, double[] val)` Sets linear coefficients for variables in the expression of the specified `IloRange` object.
`void`	`setLinearCoefs(IloRange rng, IloNumVar[] var, double[] val, int start, int num)` Sets linear coefficients for variables in the expression of the specified `IloRange` object.
`void`	`setModel(IloModel model)` Sets `model` as the active model.
`void`	`setQuadCoef(IloObjective obj, double val, IloNumVar var1, IloNumVar var2)` Sets quadratic coefficient for variable `var1*var2` to `val` in the expression of the specified `IloObjective` object.
`void`	`setQuadCoef(IloObjective obj, IloNumVar var1, IloNumVar var2, double val)` Sets quadratic coefficient for variable `var1*var2` to `val` in the expression of the specified `IloObjective` object.
`IloSOS1`	`SOS1(IloNumVar[] var, double[] val)` Creates an SOS of type 1 with the specified variables and weights.
`IloSOS1`	`SOS1(IloNumVar[] var, double[] val, int start, int num)` Creates an SOS of type 1 with the `num` specified variables and weights, starting from the index specified by `start`.
`IloSOS1`	`SOS1(IloNumVar[] var, double[] val, int start, int num, java.lang.String name)` Creates an SOS of type 1 with the `num` specified variables and weights, starting from the index specified by `start`, and assigns the new SOS a name.
`IloSOS1`	`SOS1(IloNumVar[] var, double[] val, java.lang.String name)` Creates an SOS of type 1 with the specified variables and weights and names the new SOS.
`IloSOS2`	`SOS2(IloNumVar[] var, double[] val)` Creates an SOS of type 2 with the specified variables and weights.
`IloSOS2`	`SOS2(IloNumVar[] var, double[] val, int start, int num)` Creates an SOS of type 2 with the `num` specified variables and weights, starting from the index specified by `start`.
`IloSOS2`	`SOS2(IloNumVar[] var, double[] val, int start, int num, java.lang.String name)` Creates an SOS of type 2 with the `num` specified variables and weights, starting from the index specified by `start`, and assigns the new SOS its `name`.
`IloSOS2`	`SOS2(IloNumVar[] var, double[] val, java.lang.String name)` Creates an SOS of type 2 with the specified variables and weights, and assigns the new SOS its `name`.

Methods inherited from interface ilog.concert.IloModeler
abs, addEq, addEq, addEq, addEq, addEq, addEq, addGe, addGe, addGe, addGe, addGe, addGe, addLe, addLe, addLe, addLe, addLe, addLe, addMaximize, addMaximize, addMinimize, addMinimize, addObjective, addObjective, addRange, addRange, and, and, and, and, and, and, and, boolVar, boolVar, boolVarArray, boolVarArray, constant, constant, diff, diff, diff, diff, diff, diff, eq, eq, eq, eq, eq, eq, ge, ge, ge, ge, ge, ge, ifThen, ifThen, intExpr, intVar, intVar, intVarArray, intVarArray, intVarArray, intVarArray, le, le, le, le, le, le, linearIntExpr, linearIntExpr, linearNumExpr, linearNumExpr, max, max, max, max, max, max, max, max, maximize, maximize, min, min, min, min, min, min, min, min, minimize, minimize, negative, negative, not, not, numExpr, numVar, numVar, numVar, numVar, numVarArray, numVarArray, numVarArray, numVarArray, numVarArray, numVarArray, numVarArray, numVarArray, objective, objective, or, or, or, or, or, or, or, prod, prod, prod, prod, prod, prod, prod, prod, prod, range, range, scalProd, scalProd, scalProd, scalProd, scalProd, scalProd, scalProd, scalProd, scalProd, scalProd, scalProd, scalProd, scalProd, scalProd, square, square, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum, sum

Methods inherited from interface ilog.concert.IloModel
add, add, add, iterator, remove, remove, remove

Methods inherited from interface ilog.concert.IloAddable
getName, setName

- Method Detail
  - getModel
```
IloModel getModel()
                  throws IloException
```
    Returns the active model.
    
    Throws:
    
    IloException
    
    Returns:
    The active model.
  - setModel
```
void setModel(IloModel model)
              throws IloException
```
    Sets model as the active model.
    
    Throws:
    
    IloException
  - delete
```
void delete(IloCopyable obj)
            throws IloException
```
    Deletes an object from a model.
    After you call this method, the modeling object obj is no longer in the model. If the modeling object is referenced multiple times in a model (for example, a variable used by multiple constraints), then that object is removed from all places. In particular, when you delete a variable from a model, the variable is removed from all the other modeling objects in the model. Modeling objects that are variables are not of type IloAddable. In fact, the type of the removed object is IloCopyable, a common base interface of both IloAddable and IloNumVar.
    
    Throws:
    
    IloException
    Parameters:
    obj - The modeling object to be deleted from the invoking model.
  - delete
```
void delete(IloCopyable[] obj)
            throws IloException
```
    Deletes the modeling objects in an array obj from the invoking model.
    After you call this method, the deleted objects are no longer in the model. If a modeling object is referenced multiple times in a model (for example, a variable used by multiple constraints), the object is removed from all places. When you delete variables from a model, they are removed from all other modeling objects in the model.
    
    Throws:
    
    IloException
    Parameters:
    obj - The array of modeling objects to be deleted from the invoking model.
  - delete
```
void delete(IloCopyable[] obj,
          int start,
          int num)
            throws IloException
```
    Deletes the modeling objects in obj[start] through obj[start+num-1] from a model. Modeling objects obj[start] through obj[start+num-1] are deleted from the invoking model. After you call this method, the deleted objects will no longer be in the model. If a modeling object is referenced multiple times in a model (for example, a variable used by multiple constraints), the object is removed from all places. Thus, when you delete variables from a model, they are removed from all other modeling objects in the model.
    
    Throws:
    
    IloException
    Parameters:
    obj - An array containing the modeling objects to be deleted from the invoking model.
    start - The index of the first modeling object in obj to be deleted from the invoking model.
    num - The number of modeling objects in obj to be deleted from the invoking model.
  - quadIntExpr
```
IloQuadIntExpr quadIntExpr()
                           throws IloException
```
    Creates and returns an integer quadratic expression.
    
    Throws:
    
    IloException
  - quadNumExpr
```
IloQuadNumExpr quadNumExpr()
                           throws IloException
```
    Creates and returns a quadratic expression.
    
    Throws:
    
    IloException
  - lqIntExpr
```
IloLQIntExpr lqIntExpr()
                       throws IloException
```
    Creates and returns an integer quadratic expression.
    
    Throws:
    
    IloException
  - lqNumExpr
```
IloLQNumExpr lqNumExpr()
                       throws IloException
```
    Creates and returns a quadratic expression.
    
    Throws:
    
    IloException
  - minimize
```
IloObjective minimize()
                      throws IloException
```
    Creates and returns an empty minimization objective function.
    This method creates and returns an IloObjective object representing a minimization objective function with a zero expression. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.
    
    Throws:
    
    IloException
    
    Returns:
    The new zero minimization objective.
  - minimize
```
IloObjective minimize(java.lang.String name)
                      throws IloException
```
    Creates and returns an empty minimization objective function.
    This method creates and returns an IloObjective object representing a minimization objective function with a zero expression. The new IloObjective object is assigned name as its name. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.
    
    Throws:
    
    IloException
    Parameters:
    name - The name assigned to the new objective.
    
    Returns:
    The new zero minimization objective.
  - maximize
```
IloObjective maximize()
                      throws IloException
```
    Creates and returns an empty maximization objective function. This method creates an IloObjective object representing a maximization objective function with a zero expression. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.
    
    Throws:
    
    IloException
    
    Returns:
    The new zero maximization objective.
  - maximize
```
IloObjective maximize(java.lang.String name)
                      throws IloException
```
    Creates and returns an empty maximization objective function. This method creates an IloObjective object representing a maximization objective function with a zero expression. The new IloObjective object is assigned name as its name. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.
    
    Throws:
    
    IloException
    Parameters:
    name - The name assigned to the new objective.
    
    Returns:
    The new zero maximization objective.
  - objective
```
IloObjective objective(IloObjectiveSense sense)
                       throws IloException
```
    Creates and returns an empty objective function with the sense specified by sense.
    This method creates and returns an IloObjective object with a zero expression and the specified optimization sense. This method is typically used in an application that uses column-wise modeling to fill in the objective function while creating the variables.
    
    Throws:
    
    IloException
    Parameters:
    sense - The optimization sense of the new objective.
    
    Returns:
    The new zero objective.
  - objective
```
IloObjective objective(IloObjectiveSense sense,
                     java.lang.String name)
                       throws IloException
```
    Creates and returns an empty objective function with the sense specified by sense and with the name specified by name.
    This method creates and returns an IloObjective object with a zero expression and the specified optimization sense. The new IloObjective object is assigned name as its name. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.
    
    Throws:
    
    IloException
    Parameters:
    sense - The optimization sense of the new objective.
    name - The name assigned to the new objective.
    
    Returns:
    The new zero objective.
  - addMinimize
```
IloObjective addMinimize()
                         throws IloException
```
    Creates and returns an empty minimization objective function and adds it to the invoking model.
    This method creates and returns an IloObjective object representing a minimization objective function with a zero expression. The new IloObjective object is added to the invoking model. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.
    
    Throws:
    
    IloException
    
    Returns:
    The new zero minimization objective.
  - addMinimize
```
IloObjective addMinimize(java.lang.String name)
                         throws IloException
```
    Creates and returns an empty minimization objective function with the specified name and adds the empty objective to the invoking model.
    This method creates and returns an IloObjective object representing a minimization objective function with a zero expression. The new IloObjective object is assigned the name name and added to the invoking model. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.
    
    Throws:
    
    IloException
    Parameters:
    name - The name assigned to the new objective.
    
    Returns:
    The new zero minimization objective.
  - addMaximize
```
IloObjective addMaximize()
                         throws IloException
```
    Creates and returns an empty maximization objective function and adds it to the invoking model.
    This method creates and returns an IloObjective object representing a maximization objective function with a zero expression. The new IloObjective object is added to the invoking model. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.
    
    Throws:
    
    IloException
    
    Returns:
    The new zero maximization objective.
  - addMaximize
```
IloObjective addMaximize(java.lang.String name)
                         throws IloException
```
    Creates and returns an empty maximization objective function with the specified name and adds it to the invoking model.
    This method creates and returns an IloObjective object representing a maximization objective function with a zero expression. The new IloObjective object is assigned name as its name and added to the invoking model. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.
    
    Throws:
    
    IloException
    Parameters:
    name - The name assigned to the new objective.
    
    Returns:
    The new zero maximization objective.
  - addObjective
```
IloObjective addObjective(IloObjectiveSense sense)
                          throws IloException
```
    Creates and returns an empty objective function with the sense specified by sense and adds it to the invoking model.
    This method creates and returns an IloObjective object with a zero expression and the specified optimization sense. The new IloObjective object is added to the invoking model. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.
    
    Throws:
    
    IloException
    Parameters:
    sense - The optimization sense of the new objective.
    
    Returns:
    The new zero objective.
  - addObjective
```
IloObjective addObjective(IloObjectiveSense sense,
                        java.lang.String name)
                          throws IloException
```
    Creates and returns an empty objective function with the specified name and with the specified sense and adds it to the invoking model.
    This method creates and returns an IloObjective object with a zero expression and the specified optimization sense. The new IloObjective object is assigned name as its name and added to the invoking model. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.
    
    Throws:
    
    IloException
    Parameters:
    sense - The optimization sense of the new objective.
    name - The name assigned to the new objective.
    
    Returns:
    The new zero objective.
  - addRange
```
IloRange addRange(double lb,
                double ub)
                  throws IloException
```
    Creates, returns, and adds to the invoking model an empty IloRange object.
    The new IloRange object is initialized to represent the constraint lb <= 0 <= ub, and is added to the invoking model. This method is typically used in an application that applies column-wise modeling to fill in the expression for the ranged constraint while creating the variables.
    
    Throws:
    
    IloException
    Parameters:
    lb - The lower bound of the new IloRange constraint.
    ub - The upper bound of the new IloRange constraint.
    
    Returns:
    A new IloRange object initialized to represent the constraint lb <= 0 <= ub.
  - addRange
```
IloRange addRange(double lb,
                double ub,
                java.lang.String name)
                  throws IloException
```
    Creates, returns, and adds to the invoking model an empty IloRange object with the specified name and upper and lower bounds.
    The new IloRange object is initialized to represent the constraint lb <= 0 <= ub, and is added to the invoking model. The new IloRange object is assigned name as its name. This method is typically used in an application that applies column-wise modeling to fill in the expression for the ranged constraint while creating the variables.
    
    Throws:
    
    IloException
    Parameters:
    lb - The lower bound of the new IloRange constraint.
    ub - The upper bound of the new IloRange constraint.
    name - The name assigned to the new IloRange constraint.
    
    Returns:
    A new IloRange object initialized to represent the constraint lb <= 0 <= ub.
  - range
```
IloRange range(double lb,
             double ub)
               throws IloException
```
    Creates and returns an empty IloRange object with the specified upper and lower bound.
    The new IloRange object is initialized to represent the constraint lb <= 0 <= ub. This method is typically used in an application that applies column-wise modeling to fill in the expression for the ranged constraint while creating the variables.
    
    Throws:
    
    IloException
    Parameters:
    lb - The lower bound of the new IloRange constraint.
    ub - The upper bound of the new IloRange constraint.
    
    Returns:
    A new IloRange object initialized to represent the constraint lb <= 0 <= ub.
  - range
```
IloRange range(double lb,
             double ub,
             java.lang.String name)
               throws IloException
```
    Creates and returns an empty IloRange object with the specified name and upper and lower bounds.
    The new IloRange object is initialized to represent the constraint lb <= 0 <= ub. The new IloRange object is assigned name as its name. This method is typically used in an application that applies column-wise modeling to fill in the expression for the ranged constraint while creating the variables.
    
    Throws:
    
    IloException
    Parameters:
    lb - The lower bound of the new IloRange constraint.
    ub - The upper bound of the new IloRange constraint.
    name - The name assigned to the new IloRange constraint.
    
    Returns:
    A new IloRange object initialized to represent the constraint lb <= 0 <= ub.
  - numVar
```
IloNumVar numVar(IloColumn column,
               double lb,
               double ub,
               IloNumVarType type,
               java.lang.String name)
                 throws IloException
```
    Creates and returns a new modeling variable with the specified name, type, lower bound, and upper bound for column-wise modeling in the target column.
    This method returns an object representing a new modeling variable with the specified bounds, type, and name. The newly created variable is then installed in existing modeling objects, as defined by the IloColumn argument column.
    
    Throws:
    
    IloException
    Parameters:
    column - The column object defining where to install the new variable.
    lb - The lower bound of the new modeling variable.
    ub - The upper bound of the new modeling variable.
    type - The type of the new modeling variable.
    name - The name of the new modeling variable.
    
    Returns:
    The new modeling variable.
  - numVar
```
IloNumVar numVar(IloColumn column,
               double lb,
               double ub,
               IloNumVarType type)
                 throws IloException
```
    Creates and returns a new modeling variable for column-wise modeling.
    This method returns an object representing a new modeling variable with the specified bounds and type. The newly created variable is then installed in existing modeling objects, as defined by the IloColumn argument column.
    
    Throws:
    
    IloException
    Parameters:
    column - The column object defining where to install the new variable.
    lb - The lower bound of the new modeling variable.
    ub - The upper bound of the new modeling variable.
    type - The type of the new modeling variable.
    
    Returns:
    The new modeling variable.
  - numVarArray
```
IloNumVar[] numVarArray(IloColumnArray cols,
                      double lb,
                      double ub,
                      IloNumVarType type,
                      java.lang.String[] name)
                        throws IloException
```
    Creates and returns an array of modeling variables with distinctive names, all with the same lower bound, and all with the same upper bound, as specified, for column-wise modeling.
    This method creates new modeling variables, each with the same specified bounds and type, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. Each new variable is assigned a separate name, with the variable i assigned name[i]. The new variables are then installed in existing modeling objects, as defined by the IloColumnArray argument cols.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    lb - The lower bound of the new modeling variables.
    ub - The upper bound of the new modeling variables.
    type - The type of the new modeling variables.
    name - The names of the new modeling variables. Variable i is assigned name[i].
    
    Returns:
    The array of new modeling variables.
  - numVarArray
```
IloNumVar[] numVarArray(IloColumnArray cols,
                      double lb,
                      double ub,
                      IloNumVarType type)
                        throws IloException
```
    Creates and returns modeling variables, all of the same specified type, all with same upper bound, all with the same lower bound, as specified, for column-wise modeling.
    This method creates new modeling variables, each with the same specified bounds and type, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. The new variables are then installed in existing modeling objects, as defined by the IloColumnArray argument cols.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    lb - The lower bound of the new modeling variables.
    ub - The upper bound of the new modeling variables.
    type - The type of the new modeling variables.
    
    Returns:
    The array of new modeling variables.
  - numVarArray
```
IloNumVar[] numVarArray(IloColumnArray cols,
                      double[] lb,
                      double[] ub,
                      IloNumVarType[] type)
                        throws IloException
```
    Creates and returns modeling variables with the individual type specified by the corresponding entry in the array type, and individual upper and lower bounds as specified in those arrays, for column-wise modeling.
    This method creates new modeling variables, each with its own bounds and type, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. The new variable i is constructed with bounds lb[i] and ub[i] and type type[i]. The new variables are installed in existing modeling objects, as defined by the cols argument.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    lb - The lower bounds of the new modeling variables. Variable i is constructed with a lower bound of lb[i].
    ub - The upper bounds of the new modeling variables. Variable i is constructed with a upper bound of ub[i].
    type - The types of the new modeling variables. Variable i is constructed with a type of type[i].
    
    Returns:
    The array of new modeling variables.
  - numVarArray
```
IloNumVar[] numVarArray(IloColumnArray cols,
                      double[] lb,
                      double[] ub,
                      IloNumVarType[] type,
                      java.lang.String[] name)
                        throws IloException
```
    Creates and returns modeling variables with the individual type specified by the corresponding entry in the array type, with individual upper and lower bounds as specified in those arrays, with the name specified individually by the corresponding entry in the array name, for column-wise modeling.
    This method creates new modeling variables, each with its own bounds and type, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. Variable i is constructed with bounds lb[i] and ub[i] and type type[i], and it is assigned name[i]. The new variables are installed in existing modeling objects, as defined by the cols argument.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    lb - The lower bounds of the new modeling variables. Variable i is constructed with a lower bound of lb[i].
    ub - The upper bounds of the new modeling variables. Variable i is constructed with a upper bound of lb[i].
    type - The types of the new modeling variables. Variable i is constructed with a type of type[i].
    name - The names of the new modeling variables. Variable i is assigned name[i].
    
    Returns:
    The array of new modeling variables.
  - numVar
```
IloNumVar numVar(IloColumn column,
               double lb,
               double ub,
               java.lang.String name)
                 throws IloException
```
    Creates a continuous modeling variable, of type Float with upper bound, lower bound, and name as specified, for column-wise modeling.
    This method returns an object representing a new modeling variable of type IloNumVarType.Float with the specified bounds and name. The newly created variable is then installed in existing modeling objects as defined by the IloColumn argument column.
    
    Throws:
    
    IloException
    Parameters:
    column - The column object defining where to install the new variable.
    lb - The lower bound of the new modeling variable.
    ub - The upper bound of the new modeling variable.
    name - The name of the new modeling variable.
    
    Returns:
    The new continuous modeling variable.
  - numVar
```
IloNumVar numVar(IloColumn column,
               double lb,
               double ub)
                 throws IloException
```
    Creates a continuous modeling variable, of type Float with upper bound and lower bound as specified, for column-wise modeling.
    This method returns an object representing a new modeling variable of type IloNumVarType.Float with the specified bounds. The newly created variable is then installed in existing modeling objects as defined by the IloColumn argument column.
    
    Throws:
    
    IloException
    Parameters:
    column - The column object defining where to install the new variable.
    lb - The lower bound of the new modeling variable.
    ub - The upper bound of the new modeling variable.
    
    Returns:
    The new continuous modeling variable.
  - numVarArray
```
IloNumVar[] numVarArray(IloColumnArray cols,
                      double lb,
                      double ub,
                      java.lang.String[] name)
                        throws IloException
```
    Creates and returns continuous modeling variables, all of type Float, with the same specified bounds, but with individually specified names, for column-wise modeling.
    This method creates new modeling variables of type IloNumVarType.Float, each with the same specified bounds, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. Each new variable is assigned a separate name, where variable i is assigned name[i]. The new variables are then installed in existing modeling objects as describe by the IloColumnArray argument cols.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    lb - The lower bounds of the new modeling variables. Variable i is assigned lower bound lb[i].
    ub - The upper bounds of the new modeling variables. Variable i is assigned upper bound ub[i].
    name - The names of the new modeling variables. Variable i is assigned name[i].
    
    Returns:
    The array of new continuous modeling variables.
  - numVarArray
```
IloNumVar[] numVarArray(IloColumnArray cols,
                      double lb,
                      double ub)
                        throws IloException
```
    Creates and returns continuous modeling variables, all of type Float, all with same upper bound, all with the same lower bound, for column-wise modeling.
    This method creates new modeling variables of type IloNumVarType.Float, each with the same specified bounds, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. The new variables are then installed in existing modeling objects as defined by the IloColumnArray argument cols.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    lb - The lower bound of the new modeling variables.
    ub - The upper bound of the new modeling variables.
    
    Returns:
    The array of new continuous modeling variables.
  - numVarArray
```
IloNumVar[] numVarArray(IloColumnArray cols,
                      double[] lb,
                      double[] ub)
                        throws IloException
```
    Creates and returns continuous modeling variables, all of the same type Float with individually specified upper bound, and individually specified lower bound, for column-wise modeling.
    This method creates new modeling variables of type IloNumVarType.Float, each with its own bounds, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. Variable i is constructed with bounds lb[i] and ub[i]. The new variables are installed in existing modeling objects as defined by the cols argument.
    
    Throws:
    
    IloException
    Parameters:
    cols - IloColumnArray object defining where to install the new variables.
    lb - The lower bounds of the new modeling variables. Variable i is constructed with a lower bound of lb[i].
    ub - The upper bounds of the new modeling variables. Variable i is constructed with an upper bound of ub[i].
    
    Returns:
    The array of new continuous modeling variables
  - numVarArray
```
IloNumVar[] numVarArray(IloColumnArray cols,
                      double[] lb,
                      double[] ub,
                      java.lang.String[] name)
                        throws IloException
```
    Creates and returns continuous modeling variables, all of type Float with individually specified upper bound, lower bound, and name, for column-wise modeling.
    This method creates new modeling variables of type IloNumVarType.Float, each with its own bounds, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. Variable i is constructed with bounds lb[i] and ub[i]. and it is assigned name[i]. The new variables are installed in existing modeling objects as defined by the cols argument.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    lb - The lower bounds of the new modeling variables. Variable i is constructed with a lower bound of lb[i].
    ub - The upper bounds of the new modeling variables. Variable i is constructed with an upper bound of ub[i].
    name - The names of the new modeling variables. Variable i is assigned name[i].
    
    Returns:
    The array of new continuous modeling variables.
  - intVar
```
IloIntVar intVar(IloColumn column,
               int lb,
               int ub,
               java.lang.String name)
                 throws IloException
```
    Creates an integer modeling variable with specified upper bound, lower bound, and name for column-wise modeling.
    This method returns an object representing a new modeling variable of type IloNumVarType.Int with the specified bounds and name. The newly created variable is then installed in existing modeling objects as defined by the IloColumn argument column.
    
    Throws:
    
    IloException
    Parameters:
    column - The column object defining where to install the new variable.
    lb - The lower bound of the new modeling variable.
    ub - The upper bound of the new modeling variable.
    name - The name of the new modeling variable.
    
    Returns:
    The new integer modeling variable.
  - intVar
```
IloIntVar intVar(IloColumn column,
               int lb,
               int ub)
                 throws IloException
```
    Creates an integer modeling variable, with specified upper and lower bound, for column-wise modeling.
    This method returns an object representing a new modeling variable of type IloNumVarType.Int with the specified bounds. The newly created variable is then installed in existing modeling objects as defined by the IloColumn argument column.
    
    Throws:
    
    IloException
    Parameters:
    column - The column object defining where to install the new variable.
    lb - The lower bound of the new modeling variable.
    ub - The upper bound of the new modeling variable.
    
    Returns:
    The new integer modeling variable.
  - intVarArray
```
IloIntVar[] intVarArray(IloColumnArray cols,
                      int lb,
                      int ub,
                      java.lang.String[] name)
                        throws IloException
```
    Creates and returns integer modeling variables, all with the same specified upper bound and lower bound, with individually specified names, for column-wise modeling.
    This method creates new modeling variables of type IloNumVarType.Int, each with the same specified bounds, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. Each new variable is assigned a separate name, with variable i being assigned name[i]. The new variables are then installed in existing modeling objects as defined by the IloColumnArray argument cols.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    lb - The lower bound of the new modeling variables.
    ub - The upper bound of the new modeling variables.
    name - The names of the new modeling variables. Variable i is assigned name[i].
    
    Returns:
    The array of new integer modeling variables.
  - intVarArray
```
IloIntVar[] intVarArray(IloColumnArray cols,
                      int lb,
                      int ub)
                        throws IloException
```
    Creates and returns integer modeling variables, all with the same upper bound and with the same lower bound, for column-wise modeling.
    This method creates new modeling variables of type IloNumVarType.Int, each with the same specified bounds, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. The new variables are then installed in existing modeling objects as defined by the IloColumnArray argument cols.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    lb - The lower bound of the new modeling variables.
    ub - The upper bound of the new modeling variables.
    
    Returns:
    The array of new integer modeling variables.
  - intVarArray
```
IloIntVar[] intVarArray(IloColumnArray cols,
                      int[] lb,
                      int[] ub)
                        throws IloException
```
    Creates and returns integer modeling variables, with individually specified upper bound, lower bound, and name, for column-wise modeling.
    This method creates new modeling variables of type IloNumVarType.Int, each with its own bounds, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. Variable i is constructed with bounds lb[i] and ub[i]. The new variables are installed in existing modeling objects as defined by the cols argument.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    lb - The lower bounds of the new modeling variables. Variable i is constructed with a lower bound of lb[i].
    ub - The upper bounds of the new modeling variables. Variable i is constructed with a upper bound of ub[i].
    
    Returns:
    The array of new integer modeling variables.
  - intVarArray
```
IloIntVar[] intVarArray(IloColumnArray cols,
                      int[] lb,
                      int[] ub,
                      java.lang.String[] name)
                        throws IloException
```
    Creates and returns integer modeling variables, each with individually specified upper bound, lower bound, and name, for column-wise modeling.
    This method creates new modeling variables of type IloNumVarType.Int, each with its own bounds, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. Variable i is constructed with bounds lb[i] and ub[i] and is assigned name[i]. The new variables are installed in existing modeling objects as defined by the cols argument.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    lb - The lower bounds of the new modeling variables. Variable i is constructed with a lower bound of lb[i].
    ub - The upper bounds of the new modeling variable. Variable i is constructed with an upper bound of ub[i].
    name - The names of the new modeling variables. Variable i is assigned name[i].
    
    Returns:
    The array of new integer modeling variables.
  - boolVar
```
IloIntVar boolVar(IloColumn column)
                  throws IloException
```
    Creates a new Boolean (or binary) modeling variable for column-wise modeling.
    This method returns an object representing a new modeling variable of type IloNumVarType.Bool. The newly created variable is then installed in existing modeling objects as defined by the IloColumn argument column.
    
    Throws:
    
    IloException
    Parameters:
    column - The column object defining where to install the new variable.
    
    Returns:
    The new Boolean modeling variable.
  - boolVar
```
IloIntVar boolVar(IloColumn column,
                java.lang.String name)
                  throws IloException
```
    Creates a new Boolean (or binary) modeling variable, with the specified name, for column-wise modeling.
    This method returns an object representing a new modeling variable of type IloNumVarType.Bool with the specified name. The newly created variable is then installed in existing modeling objects as defined by the IloColumn argument column.
    
    Throws:
    
    IloException
    Parameters:
    column - The column object defining where to install the new variable.
    name - The name of the new modeling variable.
    
    Returns:
    The new Boolean modeling variable.
  - boolVarArray
```
IloIntVar[] boolVarArray(IloColumnArray cols)
                         throws IloException
```
    Creates and returns an array of Boolean (or binary) modeling variables for column-wise modeling.
    This method creates new modeling variables of type IloNumVarType.Bool and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. The new variables are installed in existing modeling objects as defined by the cols argument.
    
    Throws:
    
    IloException
    Parameters:
    cols - The IloColumnArray object defining where to install the new variables.
    
    Returns:
    The array of new Boolean modeling variables
  - boolVarArray
```
IloIntVar[] boolVarArray(IloColumnArray cols,
                       java.lang.String[] name)
                         throws IloException
```
    Creates and returns an array of Boolean (or binary) modeling variables with names for column-wise modeling.
    This method creates new modeling variables of type IloNumVarType.Bool and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. Variable i will be assigned name[i]. The new variables are installed in existing modeling objects as defined by the cols argument.
    
    Throws:
    
    IloException
    Parameters:
    cols - The IloColumnArray object defining where to install the new variables.
    name - The names of the new modeling variables. Variable i is assigned name[i].
    
    Returns:
    The array of new Boolean modeling variables.
  - semiContVar
```
IloSemiContVar semiContVar(double sclb,
                         double ub,
                         IloNumVarType type)
                           throws IloException
```
    Creates and returns a new semi-continuous modeling variable with a specified semi-continuous lower bound, upper bound, and type.
    This method returns an object representing a new semi-continuous modeling variable with the specified bounds and type.
    
    Throws:
    
    IloException
    Parameters:
    sclb - The semi-continuous lower bound of the new modeling variable
    ub - The upper bound of the new modeling variable.
    type - The type of the new modeling variable.
    
    Returns:
    The new modeling variable.
  - semiContVar
```
IloSemiContVar semiContVar(double sclb,
                         double ub,
                         IloNumVarType type,
                         java.lang.String name)
                           throws IloException
```
    Creates and returns a new semi-continuous modeling variable with specified bounds, type, and name.
    This method returns an object representing a new semi-continuous modeling variable with the specified bounds, type, and name.
    
    Throws:
    
    IloException
    Parameters:
    sclb - The semi-continuous lower bound of the new modeling variable
    ub - The upper bound of the new modeling variable.
    type - The type of the new modeling variable.
    name - The name of the new modeling variable.
    
    Returns:
    The new modeling variable.
  - semiContVar
```
IloSemiContVar semiContVar(IloColumn column,
                         double sclb,
                         double ub,
                         IloNumVarType type)
                           throws IloException
```
    Creates and returns a new semi-continuous modeling variable with specified type and bounds, for column-wise modeling.
    This method returns an object representing a new semi-continuous modeling variable with the specified bounds and type. The newly created variable is then installed in existing modeling objects as defined by the IloColumn argument column.
    
    Throws:
    
    IloException
    Parameters:
    column - The column object defining where to install the new variable.
    sclb - The semi-continuous lower bound of the new modeling variable.
    ub - The upper bound of the new modeling variable.
    type - The type of the new modeling variable.
    
    Returns:
    The new modeling variable.
  - semiContVar
```
IloSemiContVar semiContVar(IloColumn column,
                         double sclb,
                         double ub,
                         IloNumVarType type,
                         java.lang.String name)
                           throws IloException
```
    Creates and returns a new semi-continuous modeling variable, with specified bounds, type, and name, for column-wise modeling.
    This method returns an object representing a new semi-continuous modeling variable with the specified bounds, type, and name. The newly created variable is then installed in existing modeling objects as defined by the IloColumn argument column.
    
    Throws:
    
    IloException
    Parameters:
    column - The column object defining where to install the new variable.
    sclb - The semi-continuous lower bound of the new modeling variable.
    ub - The upper bound of the new modeling variable.
    type - The type of the new modeling variable.
    name - The name of the new modeling variable.
    
    Returns:
    The new modeling variable.
  - semiContVarArray
```
IloSemiContVar[] semiContVarArray(int n,
                                double sclb,
                                double ub,
                                IloNumVarType type,
                                java.lang.String[] name)
                                  throws IloException
```
    Creates and returns n semi-continuous modeling variables, all with the same type, semi-continuous lower bound, and upper bound, but with individually specified names.
    This method creates n new semi-continuous modeling variables, each with the same specified bounds and type, and returns them in an array. Each new variable is assigned a separate name, with variable i assigned name[i].
    
    Throws:
    
    IloException
    Parameters:
    n - The number of new semi-continuous variables to create.
    sclb - The semi-continuous lower bound of the new modeling variables.
    ub - The upper bound of the new modeling variables.
    type - The type of the new modeling variables.
    name - The names of the new modeling variables. Variable i is assigned name[i].
    
    Returns:
    The array of new modeling variables.
  - semiContVarArray
```
IloSemiContVar[] semiContVarArray(int n,
                                double sclb,
                                double ub,
                                IloNumVarType type)
                                  throws IloException
```
    Creates and returns n semi-continuous modeling variables, all of the same type, with the same semi-continuous lower bound and upper bound.
    This method creates n new semi-continuous modeling variables, each with the same specified bounds and type, and returns them in an array.
    
    Throws:
    
    IloException
    Parameters:
    n - The number of new semi-continuous variables to create.
    sclb - The semi-continuous lower bound of the new modeling variables.
    ub - The upper bound of the new modeling variables.
    type - The type of the new modeling variables.
    
    Returns:
    The array of new modeling variables.
  - semiContVarArray
```
IloSemiContVar[] semiContVarArray(int n,
                                double[] sclb,
                                double[] ub,
                                IloNumVarType[] type,
                                java.lang.String[] name)
                                  throws IloException
```
    Creates and returns n semi-continuous modeling variables, all of the same type, with the same semi-continuous lower bound and upper bound, and individually specified names.
    This method creates new semi-continuous modeling variables, each with its own bounds and type, and returns them in an array. Variable i is constructed with bounds sclb[i] and ub[i] and type type[i], and it is assigned name name[i].
    
    Throws:
    
    IloException
    Parameters:
    n - The number of new semi-continuous variables to create.
    sclb - The semi-continuous lower bounds of the new modeling variables. Variable i is constructed with a semi-continuous lower bound of sclb[i].
    ub - The upper bounds of the new modeling variables. Variable i is constructed with an upper bound of ub[i].
    type - The types of the new modeling variables. Variable i is constructed with a type of type[i].
    name - The names of the new modeling variables. Variable i is assigned name[i].
    
    Returns:
    The array of new modeling variables.
  - semiContVarArray
```
IloSemiContVar[] semiContVarArray(int n,
                                double[] sclb,
                                double[] ub,
                                IloNumVarType[] type)
                                  throws IloException
```
    Creates and returns n semi-continuous modeling variables, with individually specified type, semi-continuous lower bound, and upper bound.
    This method creates new semi-continuous modeling variables, each with its own bounds and type, and returns them in an array. Variable i is constructed with bounds sclb[i] and ub[i] and type type[i].
    
    Throws:
    
    IloException
    Parameters:
    n - The number of new semi-continuous variables to create.
    sclb - The semi-continuous lower bounds of the new modeling variables. Variable i is constructed with a semi-continuous lower bound of sclb[i].
    ub - The upper bounds of the new modeling variables. Variable i is constructed with an upper bound of ub[i].
    type - The types of the new modeling variables. Variable i is constructed with a type of type[i].
    
    Returns:
    The array of new modeling variables.
  - semiContVarArray
```
IloSemiContVar[] semiContVarArray(IloColumnArray cols,
                                double sclb,
                                double ub,
                                IloNumVarType type,
                                java.lang.String[] name)
                                  throws IloException
```
    Creates and returns an array of semi-continuous modeling variables with individually specified type, semi-continuous lower bound, upper bound, and name, for column-wise modeling.
    This method creates an array of new semi-continuous modeling variables, each with the same specified bounds and type, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. Each new variable is assigned a separate name, where variable i is assigned name[i]. The new variables are then installed in existing modeling objects as described by the IloColumnArray argument cols.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    sclb - The semi-continuous lower bound of the new modeling variables.
    ub - The upper bound of the new modeling variables.
    type - The type of the new modeling variables.
    name - The names of the new modeling variables. Variable i is assigned name[i].
    
    Returns:
    The array of new modeling variables.
  - semiContVarArray
```
IloSemiContVar[] semiContVarArray(IloColumnArray cols,
                                double sclb,
                                double ub,
                                IloNumVarType type)
                                  throws IloException
```
    Creates and returns an array of semi-continuous modeling variables, all with the same type and bounds, for column-wise modeling.
    This method creates new semi-continuous modeling variables, each with the same specified bounds and type, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. The new variables are then installed in existing modeling objects as defined by the IloColumnArray argument cols.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    sclb - The semi-continuous lower bound of the new modeling variables.
    ub - The upper bound of the new modeling variables.
    type - The type of the new modeling variables.
    
    Returns:
    The array of new modeling variables.
  - semiContVarArray
```
IloSemiContVar[] semiContVarArray(IloColumnArray cols,
                                double[] sclb,
                                double[] ub,
                                IloNumVarType[] type)
                                  throws IloException
```
    Creates and returns an array of semi-continuous modeling variables, with individually specified type, semi-continuous lower bound, and upper bound, for column-wise modeling.
    This method creates new semi-continuous modeling variables, each with its own bounds and type, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. Variable i is constructed with bounds sclb[i] and ub[i] and type type[i]. The new variables will be installed in existing modeling objects as defined by the cols argument.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    sclb - The semi-continuous lower bounds of the new modeling variables. Variable i is constructed with a semi-continuous lower bound of sclb[i].
    ub - The upper bounds of the new modeling variables. Variable i is constructed with an upper bound of ub[i].
    type - The types of the new modeling variables. Variable i is constructed with a type of type[i].
    
    Returns:
    The array of new modeling variables.
  - semiContVarArray
```
IloSemiContVar[] semiContVarArray(IloColumnArray cols,
                                double[] sclb,
                                double[] ub,
                                IloNumVarType[] type,
                                java.lang.String[] name)
                                  throws IloException
```
    Creates and returns an array of semi-continuous modeling variables, with individually specified type, semi-continuous lower bound, upper bound, and name, for column-wise modeling.
    This method creates new semi-continuous modeling variables, each with its own bounds and type, and returns them in an array. The number of new variables is determined by the size of the IloColumnArray argument cols. Variable i is constructed with bounds sclb[i] and ub[i] and type type[i], and it is assigned name[i]. The new variables are installed in existing modeling objects as defined by the cols argument.
    
    Throws:
    
    IloException
    Parameters:
    cols - An IloColumnArray object defining where to install the new variables.
    sclb - The semi-continuous lower bounds of the new modeling variables. Variable i is constructed with a semi-continuous lower bound of sclb[i].
    ub - The upper bounds of the new modeling variables. Variable i is constructed with an upper bound of ub[i].
    type - The types of the new modeling variables. Variable i is constructed with a type of type[i].
    name - The names of the new modeling variables. Variable i is assigned name[i].
    
    Returns:
    The array of new modeling variables.
  - piecewiseLinear
```
IloNumExpr piecewiseLinear(IloNumExpr expr,
                         double[] points,
                         double[] slopes,
                         double a,
                         double fa)
                           throws IloException
```
    Creates an expression node that represents a continuous or discontinuous piecewise linear function.
    The piecewise linear function is evaluated at expr and is defined by the remaining arguments. The array points contains the n breakpoints for i=1, ... , n-1. The array slopes contains the value of the slope for each piece defined by the breakpoints. The slope of the function for values less than points[0] is slopes[0]. Similarly, slopes[i] specifies the slope between points[i-1] and points[i]. Thus the array slope must have one more element than the array points.
    
    By setting points[i-1] == points[i], you can represent a discontinuous piecewise linear function. In this case, the function will make a step of height slopes[i] at position points[i-1] to reach point[i].
    The values a and fa define the x- and y- coordinates of one point of the piecewise linear function. This point is referred to as the anchor point.
    
    Throws:
    
    IloException
    Parameters:
    expr - An expression specifying where to evaluate the piecewise linear function.
    points - An array of breakpoints for the piecewise linear function.
    slopes - An array of slopes for the piecewise linear function.
    a - First coordinate of the anchor point of the piecewise linear function.
    fa - Second coordinate of the anchor point of the piecewise linear function.
    
    Returns:
    A piecewise linear function of expr.
  - piecewiseLinear
```
IloNumExpr piecewiseLinear(IloNumExpr expr,
                         double[] points,
                         int startPoints,
                         int num,
                         double[] slopes,
                         int startSlopes,
                         double a,
                         double fa)
                           throws IloException
```
    Creates an expression node to represent a continuous or discontinuous piecewise linear function.
    The piecewise linear function is evaluated at expr and is defined by the remaining arguments. The array points contains breakpoints such that points[i-1] is less than or equal to points[i]. Only num elements starting with element startPoints are considered. The array slopes contains the slope for each piece defined by the breakpoints. Only num+1 elements starting with element startSlopes are considered. The element slopes[startSlopes] specifies the slope of the piecewise linear function for values less than points[startPoints], and slopes[startSlopes+num] specifies the slope of the piecewise linear function for values greater than points[startPoints+num-1]. For elements in between, slopes[startSlopes+i] specifies the slope between points[startPoints+i-1] and points[startPoints+i].
    
    By selecting points[startPoints+i-1] == points[startPoints+i], you can represent a discontinuous piecewise linear function. At points[startPoints+i-1], it will make a step of height slope[startSlopes+i] to reach points[startPoints+i].
    The values a and fa define the x and y coordinates of one point of the piecewise linear function. This point is referred to as the anchor point.
    
    Throws:
    
    IloException
    Parameters:
    expr - An expression indicating where to evaluate the piecewise linear function.
    points - An array containing breakpoints that define the piecewise linear function.
    startPoints - An integer indicating the first element in array points to use for the definition of the breakpoints of the piecewise linear function.
    num - The number of breakpoints to use from the array points. Thus num+1 elements of array slopes are used.
    slopes - An array containing the slopes that define the piecewise linear function.
    startSlopes - The first element in array slopes to use for the definition of the slopes of the piecewise linear function.
    a - The first coordinate of the anchor point of the piecewise linear function.
    fa - The second coordinate of the anchor point of the piecewise linear function.
    
    Returns:
    A piecewise linear function of expr.
  - piecewiseLinear
```
IloNumExpr piecewiseLinear(IloNumExpr expr,
                         double firstSlope,
                         double[] points,
                         double[] values,
                         double lastSlope)
                           throws IloException
```
    Creates and returns a numeric expression representing a piecewise linear function based on the slope of the first and last segment as well as the coordinates of breakpoints.
    This method creates and returns an expression to represent a continuous or discontinuous piecewise linear function. To specify a piecewise linear function, this method supplies the slope of the first segment of the PWL function, the x- and y-coordinates of the breakpoints, the slope of the last segment of the PWL function.
    
    For samples of piecewise linear functions with images of their graphs, see the topic Syntax of piecewise linear functions in the CPLEX User's Manual.
    
    Throws:
    
    IloException
    Parameters:
    expr - An expression indicating where to evaluate the piecewise linear function.
    firstSlope - Specifies the slope of the first segment of the piecewise linear function.
    points - Array specifying the x-coordinate of each breakpoint.
    values - Array specifying the corresponding y-coordinates of the breakpoints in the piecewise linear function.
    lastSlope - Specifies the slope of the last segment of the piecewise linear function.
  - piecewiseLinear
```
IloNumExpr piecewiseLinear(IloNumExpr expr,
                         double firstSlope,
                         double[] points,
                         int startPoints,
                         int num,
                         double[] values,
                         int startSlopes,
                         double lastSlope)
                           throws IloException
```
    Creates and returns a numeric expression representing a piecewise linear function from a range of breakpoints specified by their x-coordinate and the slope of the segment.
    This method creates and returns an expression to represent a continuous or discontinuous piecewise linear function when only a range of the available breakpoints and segments are needed.
    
    Throws:
    
    IloException
    Parameters:
    firstSlope - Specifies the slope of the first segment of the PWL function.
    points - An array of the x-coordinates of the breakpoints of the PWL function.
    startPoints - Specifies the index in the array of x-coordinates where the relevant breakpoints begin and in the array of slopes where the relevant slopes begin.
    num - Number of indices to consider in the arrays of x-coordinates of breakpoints and slopes of segments.
    values - Specifies the slopes of the segments.
    startSlopes - Specifies the index of the slope to begin.
    lastSlope - Specifies the slope of the last segment of the PWL function.
    
    Returns:
    A numeric expression representing the PWL function.
  - abs
```
IloNumExpr abs(IloNumExpr expr)
               throws IloException
```
    Returns an expression representing the absolute value of its argument, the expression specified by expr.
    
    Throws:
    
    IloException
  - conversion
```
IloConversion conversion(IloNumVar var,
                       IloNumVarType type)
                         throws IloException
```
    Creates and returns an IloConversion object for converting the type of a variable in a model.
    
    Throws:
    
    IloException
    Parameters:
    var - The variable the type of which is to be converted.
    type - The converted type for variable var.
    
    Returns:
    The new IloConversion object.
  - conversion
```
IloConversion conversion(IloNumVar var,
                       IloNumVarType type,
                       java.lang.String name)
                         throws IloException
```
    Creates and returns an IloConversion object, with the specified name, for converting the type of a variable in a model.
    
    Throws:
    
    IloException
    Parameters:
    var - The variable the type of which is to be converted.
    type - The converted type for variable var.
    name - The name of the new IloConversion object.
    
    Returns:
    The new IloConversion object.
  - conversion
```
IloConversion conversion(IloNumVar[] var,
                       IloNumVarType type)
                         throws IloException
```
    Creates and returns an IloConversion object for converting the type of the variables in array var in a model.
    
    Throws:
    
    IloException
    Parameters:
    var - The array of variables the types of which are to be converted.
    type - The converted type for all variables in var.
    
    Returns:
    The new IloConversion object.
  - conversion
```
IloConversion conversion(IloNumVar[] var,
                       IloNumVarType type,
                       java.lang.String name)
                         throws IloException
```
    Creates and returns an IloConversion object with the specified type and name, for converting the type of the variables in array var in a model.
    
    Throws:
    
    IloException
    Parameters:
    var - The array of variables the types of which are to be converted.
    type - The converted type for all variables in var.
    name - The name of the new IloConversion object.
    
    Returns:
    The new IloConversion object.
  - conversion
```
IloConversion conversion(IloNumVar[] var,
                       IloNumVarType[] type)
                         throws IloException
```
    Creates and returns an IloConversion object for converting the type of the variables in the array var in a model.
    
    Throws:
    
    IloException
    Parameters:
    var - The array of variables the types of which are to be converted.
    type - An array of variable types containing the types to which the variables are converted. The type of variable var[i] is converted to type[i].
    
    Returns:
    The new IloConversion object.
  - conversion
```
IloConversion conversion(IloNumVar[] var,
                       IloNumVarType[] type,
                       java.lang.String name)
                         throws IloException
```
    Creates and returns an IloConversion object, with the specified name, for converting the type of the variables in array var in a model.
    
    Throws:
    
    IloException
    Parameters:
    var - The array of variables the types of which are to be converted.
    type - An array of variable types containing the types to which the variables are converted. The type of variable var[i] is converted to type[i].
    name - The name of the new IloConversion object.
    
    Returns:
    The new IloConversion object.
  - addLPMatrix
```
IloLPMatrix addLPMatrix()
                        throws IloException
```
    Creates, returns, and adds to the invoking model an empty IloLPMatrix object.
    The new IloLPMatrix object is initialized to 0 columns and 0 rows. It can be populated later by the IloLPMatrix manipulation API. The new IloLPMatrix object is added to the invoking model.
    
    Throws:
    
    IloException
    
    Returns:
    The new IloLPMatrix object.
  - addLPMatrix
```
IloLPMatrix addLPMatrix(java.lang.String name)
                        throws IloException
```
    Creates, returns, and adds an empty IloLPMatrix object, with the specified name, to the invoking model.
    The new IloLPMatrix object is initialized to 0 columns and 0 rows. It can be populated later using the IloLPMatrix manipulation API. The new IloLPMatrix object is added to the invoking model. The new IloLPMatrix object is assigned name.
    
    Throws:
    
    IloException
    Parameters:
    name - The name for the new IloLPMatrix object.
    
    Returns:
    The new IloLPMatrix object.
  - LPMatrix
```
IloLPMatrix LPMatrix()
                     throws IloException
```
    Creates and returns an empty IloLPMatrix object.
    The new IloLPMatrix object is initialized to 0 (zero) columns and 0 (zero) rows. It can be populated later by the IloLPMatrix manipulation API.
    
    Throws:
    
    IloException
    
    Returns:
    The new IloLPMatrix object.
  - LPMatrix
```
IloLPMatrix LPMatrix(java.lang.String name)
                     throws IloException
```
    Creates and returns an empty IloLPMatrix object with the specified name.
    The new IloLPMatrix object is initialized to 0 (zero) columns and 0(zero) rows. It can be populated later using the IloLPMatrix manipulation API. The new IloLPMatrix object is assigned the name.
    
    Throws:
    
    IloException
    Parameters:
    name - The name for the new IloLPMatrix object.
    
    Returns:
    The new IloLPMatrix object.
  - addSOS1
```
IloSOS1 addSOS1(IloNumVar[] var,
              double[] val)
                throws IloException
```
    Creates an SOS of type 1 with the specified variables and weights and adds it to the invoking model.
    
    Throws:
    
    IloException
    Parameters:
    var - The variables in the new SOS.
    val - The weight values for the variables in the new SOS.
    
    Returns:
    The new IloSOS1 object.
  - addSOS1
```
IloSOS1 addSOS1(IloNumVar[] var,
              double[] val,
              int start,
              int num)
                throws IloException
```
    Creates an SOS of type 1 with num of the specified variables and weights, starting from the index specified by start, and adds the SOS to the invoking model.
    
    Throws:
    
    IloException
    Parameters:
    var - The array containing the variables in the new SOS.
    val - The array containing the weight values for the variables in the new SOS.
    start - The first element in var and val to use for the new SOS.
    num - The number of consecutive elements in var and val to use for the new SOS.
    
    Returns:
    The new IloSOS1 object.
  - addSOS1
```
IloSOS1 addSOS1(IloNumVar[] var,
              double[] val,
              java.lang.String name)
                throws IloException
```
    Creates an SOS of type 1 with the specified variables, weights, and name, and adds the SOS to the invoking model.
    
    Throws:
    
    IloException
    Parameters:
    var - The variables in the new SOS.
    val - The weight values for the variables in the new SOS.
    name - The name of the new SOS.
    
    Returns:
    The new IloSOS1 object.
  - addSOS1
```
IloSOS1 addSOS1(IloNumVar[] var,
              double[] val,
              int start,
              int num,
              java.lang.String name)
                throws IloException
```
    Creates an SOS of type 1 with the num specified variables, weights, and names, starting from the index specified by start, and adds the SOS to the invoking mode.
    
    Throws:
    
    IloException
    Parameters:
    var - An array containing the variables in the new SOS.
    val - An array containing the weight values for the variables in the new SOS.
    start - The first element in var and val to use for the new SOS.
    num - The number of consecutive elements in var and val to use for the new SOS.
    name - The name of the new SOS.
    
    Returns:
    The new IloSOS1 object.
  - addSOS2
```
IloSOS2 addSOS2(IloNumVar[] var,
              double[] val)
                throws IloException
```
    Creates an SOS of type 2 with the specified variables and weights and adds the new SOS to the invoking model.
    
    Throws:
    
    IloException
    Parameters:
    var - The variables in the new SOS.
    val - The weight values for the variables in the new SOS.
    
    Returns:
    The new IloSOS2 object.
  - addSOS2
```
IloSOS2 addSOS2(IloNumVar[] var,
              double[] val,
              int start,
              int num)
                throws IloException
```
    Creates an SOS of type 2 with num of the specified variables and weights, starting from the index specified by start, and adds the SOS to the invoking model.
    
    Throws:
    
    IloException
    Parameters:
    var - An array containing the variables in the new SOS.
    val - An array containing the weight values for the variables in the new SOS.
    start - The first element in var and val to use for the new SOS.
    num - The number of consecutive elements in var and val to use for the new SOS.
    
    Returns:
    The new IloSOS2 object.
  - addSOS2
```
IloSOS2 addSOS2(IloNumVar[] var,
              double[] val,
              java.lang.String name)
                throws IloException
```
    Creates an SOS of type 2 with the specified variables, weights, and name, and adds the new SOS to the invoking model.
    
    Throws:
    
    IloException
    Parameters:
    var - The variables in the new SOS.
    val - The weight values for the variables in the new SOS.
    name - The name of the new SOS.
    
    Returns:
    The new IloSOS2 object.
  - addSOS2
```
IloSOS2 addSOS2(IloNumVar[] var,
              double[] val,
              int start,
              int num,
              java.lang.String name)
                throws IloException
```
    Creates an SOS of type 2 with num of the specified variables and weights, starting from the index specified by start, and adds the new SOS along with its name to the invoking model.
    
    Throws:
    
    IloException
    Parameters:
    var - An array containing the variables in the new SOS.
    val - An array containing the weight values for the variables in the new SOS.
    start - The first element in var and val to use for the new SOS.
    num - The number of consecutive elements in var and val to use for the new SOS.
    name - The name of the new SOS.
    
    Returns:
    The new IloSOS2 object.
  - SOS1
```
IloSOS1 SOS1(IloNumVar[] var,
           double[] val)
             throws IloException
```
    Creates an SOS of type 1 with the specified variables and weights.
    
    Throws:
    
    IloException
    Parameters:
    var - The variables in the new SOS.
    val - The weight values for the variables in the new SOS.
    
    Returns:
    The new IloSOS1 object.
  - SOS1
```
IloSOS1 SOS1(IloNumVar[] var,
           double[] val,
           int start,
           int num)
             throws IloException
```
    Creates an SOS of type 1 with the num specified variables and weights, starting from the index specified by start.
    
    Throws:
    
    IloException
    Parameters:
    var - An array containing the variables in the new SOS.
    val - An array containing the weight values for the variables in the new SOS.
    start - The first element in var and val to use for the new SOS.
    num - The number of consecutive elements in var and val to use for the new SOS.
    
    Returns:
    The new IloSOS1 object.
  - SOS1
```
IloSOS1 SOS1(IloNumVar[] var,
           double[] val,
           java.lang.String name)
             throws IloException
```
    Creates an SOS of type 1 with the specified variables and weights and names the new SOS.
    
    Throws:
    
    IloException
    Parameters:
    var - The variables in the new SOS.
    val - The weight values for the variables in the new SOS.
    name - The name of the new SOS.
    
    Returns:
    The new IloSOS1 object.
  - SOS1
```
IloSOS1 SOS1(IloNumVar[] var,
           double[] val,
           int start,
           int num,
           java.lang.String name)
             throws IloException
```
    Creates an SOS of type 1 with the num specified variables and weights, starting from the index specified by start, and assigns the new SOS a name.
    
    Throws:
    
    IloException
    Parameters:
    var - An array containing the variables in the new SOS.
    val - An array containing the weight values for the variables in the new SOS.
    start - The first element in var and val to use for the new SOS.
    num - The number of consecutive elements in var and val to use for the new SOS.
    name - The name of the new SOS.
    
    Returns:
    The new IloSOS1 object.
  - SOS2
```
IloSOS2 SOS2(IloNumVar[] var,
           double[] val)
             throws IloException
```
    Creates an SOS of type 2 with the specified variables and weights.
    
    Throws:
    
    IloException
    Parameters:
    var - The variables in the new SOS.
    val - The weight values for the variables in the new SOS.
    
    Returns:
    The new IloSOS2 object.
  - SOS2
```
IloSOS2 SOS2(IloNumVar[] var,
           double[] val,
           int start,
           int num)
             throws IloException
```
    Creates an SOS of type 2 with the num specified variables and weights, starting from the index specified by start.
    
    Throws:
    
    IloException
    Parameters:
    var - An array containing the variables in the new SOS.
    val - An array containing the weight values for the variables in the new SOS.
    start - The first element in var and val to use for the new SOS.
    num - The number of consecutive elements in var and val to use for the new SOS.
    
    Returns:
    The new IloSOS2 object.
  - SOS2
```
IloSOS2 SOS2(IloNumVar[] var,
           double[] val,
           java.lang.String name)
             throws IloException
```
    Creates an SOS of type 2 with the specified variables and weights, and assigns the new SOS its name.
    
    Throws:
    
    IloException
    Parameters:
    var - The variables in the new SOS.
    val - The weight values for the variables in the new SOS.
    name - The name of the new SOS.
    
    Returns:
    The new IloSOS2 object.
  - SOS2
```
IloSOS2 SOS2(IloNumVar[] var,
           double[] val,
           int start,
           int num,
           java.lang.String name)
             throws IloException
```
    Creates an SOS of type 2 with the num specified variables and weights, starting from the index specified by start, and assigns the new SOS its name.
    
    Throws:
    
    IloException
    Parameters:
    var - An array containing the variables in the new SOS.
    val - An array containing the weight values for the variables in the new SOS.
    start - The first element in var and val to use for the new SOS.
    num - The number of consecutive elements in var and val to use for the new SOS.
    name - The name of the new SOS.
    
    Returns:
    The new IloSOS2 object.
  - column
```
IloColumn column(IloRange rng,
               double val)
                 throws IloException
```
    Creates an IloColumn object suitable for adding a new variable to constraint rng as a linear term with coefficient val.
    
    Throws:
    
    IloException
    Parameters:
    rng - The range constraint for which to create the column term.
    val - The linear coefficient the new IloColumn will use for adding a new variable to rng.
    
    Returns:
    The new IloColumn object.
  - columnArray
```
IloColumnArray columnArray(IloRange rng,
                         double[] val)
                           throws IloException
```
    Creates an IloColumnArray suitable for adding new variables to constraint rng as linear terms with coefficients specified in val.
    
    Throws:
    
    IloException
    Parameters:
    rng - The range constraint for which to create the column array term.
    val - The linear coefficient the IloColumnArray will use for adding new variables to rng.
    
    Returns:
    The new IloColumnArray object.
  - columnArray
```
IloColumnArray columnArray(IloRange rng,
                         double[] val,
                         int start,
                         int num)
                           throws IloException
```
    Creates an IloColumnArray suitable for adding num new variables to constraint IloRange as linear terms with coefficients specified in val.
    
    Throws:
    
    IloException
    Parameters:
    rng - The range constraint for which to create the column array term.
    val - An array containing the linear coefficients the IloColumnArray will use for adding new variables to rng.
    start - The first element in val to use.
    num - The number of consecutive elements in val to use.
    
    Returns:
    The new IloColumnArray object.
  - column
```
IloColumn column(IloObjective obj,
               double val)
                 throws IloException
```
    Creates an IloColumn object suitable for adding a new variable to the objective obj as a linear term with coefficient val.
    
    Throws:
    
    IloException
    Parameters:
    obj - The objective for which to create the column term.
    val - The linear coefficient the new IloColumn will use for adding a new variable to obj.
    
    Returns:
    The new IloColumn object.
  - columnArray
```
IloColumnArray columnArray(IloObjective obj,
                         double[] val)
                           throws IloException
```
    Creates an IloColumnArray object suitable for adding new variables to the objective obj as linear terms with coefficients specified in val.
    
    Throws:
    
    IloException
    Parameters:
    obj - The objective for which to create the column array term.
    val - The linear coefficients the IloColumnArray will use for adding new variables to obj.
    
    Returns:
    The new IloColumnArray object.
  - columnArray
```
IloColumnArray columnArray(IloObjective obj,
                         double[] val,
                         int start,
                         int num)
                           throws IloException
```
    Creates an IloColumnArray object suitable for adding num new variables to the objective obj as linear terms with coefficients specified in val.
    
    Throws:
    
    IloException
    Parameters:
    obj - The objective for which to create the column array term.
    val - An array containing the linear coefficients the IloColumnArray will use for adding new variables to obj.
    start - The first element in val to use.
    num - The number of consecutive elements in val to use.
    
    Returns:
    The new IloColumnArray object.
  - column
```
IloColumn column(IloLPMatrix lp)
                 throws IloException
```
    Creates an IloColumn object suitable for adding a new variable to an LP matrix as an empty column. Note, that the column of the LP matrix is only created when creating a variable with the returned IloColumn object but not when calling this method.
    
    Throws:
    
    IloException
    Parameters:
    lp - The IloLPMatrix object for which to create the new column.
    
    Returns:
    The new IloColumn object.
  - column
```
IloColumn column(IloLPMatrix lp,
               int[] ind,
               double[] val)
                 throws IloException
```
    Creates an IloColumn object suitable for adding a new variable to an LP matrix as a new column. Note, that the column of the LP matrix is only created when creating a variable with the returned IloColumn object but not when calling this method.
    
    Throws:
    
    IloException
    Parameters:
    lp - The IloLPMatrix object for which to create the new column.
    ind - An array of indices indicating the row indices of the nonzeros in the new column. Indices may not occur multiple times in this list and must be in the range 0 through lp.getNcols()-1.
    val - An array of values indicating the value of the nonzero entries for the column.
    
    Returns:
    An IloColumn object suitable for creating a new column in lp with nonzeros as specified by the arguments ind and val.
  - column
```
IloColumn column(IloLPMatrix lp,
               int[] ind,
               double[] val,
               int start,
               int num)
                 throws IloException
```
    Creates an IloColumn object suitable for adding a new variable to an LP matrix as a new column. Note, that the column of the LP matrix is only created when creating a variable with the returned IloColumn object but not when calling this method.
    
    Throws:
    
    IloException
    Parameters:
    lp - The IloLPMatrix object for which to create the new column.
    ind - An array containing the indices indicating the row indices of the nonzeros in the new column. Indices may not occur multiple times in this list and must be in the range 0 through lp.getNcols()-1.
    val - An array containing values indicating the value of the nonzero entries for the column.
    start - The index of the first element in arrays ind and val to use.
    num - The number of consecutive elements in arrays ind and val to use.
    
    Returns:
    An IloColumn object suitable for creating a new column in lp with nonzeros as specified in arguments ind and val.
  - columnArray
```
IloColumnArray columnArray(IloLPMatrix lp,
                         int num,
                         int[][] ind,
                         double[][] val)
                           throws IloException
```
    Creates an IloColumnArray object suitable for adding new variables to an IloLPMatrix as columns. The procedure is as follows: You create an IloColumnArray from an IloLPMatrix by calling columnArray() with the list of nonzeros for each new column given in arrays ind and val. You optionally combine this column array with IloColumnArray objects created for other modeling objects. Then you create an array of variables by passing the so constructed IloColumnArray object to the appropriate method of the IloMPModeler you use.
    
    Throws:
    
    IloException
    Parameters:
    lp - The IloLPMatrix object for which to create the new column array term.
    num - The size of the column array term to create or, equivalently, the number of consecutive elements in ind and val to use.
    ind - An array of arrays of row indices of the nonzeros for each of the new columns. Indices may not occur multiple times within one column, and they must be in the range 0 through lp.getNcols()-1.
    val - An array of arrays of values of the nonzeros for each of the new columns.
    
    Returns:
    An IloColumnArray object suitable for creating new columns in the LP matrix lp as specified by arguments ind and val.
  - columnArray
```
IloColumnArray columnArray(IloLPMatrix lp,
                         int num)
                           throws IloException
```
    Creates an IloColumnArray object suitable for adding new variables to an IloLPMatrix as empty columns.
    
    Throws:
    
    IloException
    Parameters:
    lp - The IloLPMatrix object for which to create the new column.
    num - The size of the new column array term to create.
    
    Returns:
    An IloColumnArray object suitable for creating num empty columns to the IloLPMatrix.
  - addToExpr
```
void addToExpr(IloObjective obj,
             IloNumExpr expr)
               throws IloException
```
    Adds a term (which may be an expression itself) to the expression of the specified IloObjective object.
    
    Throws:
    
    IloException
    Parameters:
    obj - The objective to modify.
    expr - The new expression to add.
  - setLinearCoef
```
void setLinearCoef(IloObjective obj,
                 double val,
                 IloNumVar var)
                   throws IloException
```
    Sets linear coefficient for variable var to val in the expression of the specified IloObjective object.
    
    Throws:
    
    IloException
    Parameters:
    obj - The objective to modify.
    val - The coefficient to set.
    var - The variable for which to set the coefficient.
  - setLinearCoef
```
void setLinearCoef(IloObjective obj,
                 IloNumVar var,
                 double val)
                   throws IloException
```
    Sets linear coefficient for variable var to val in the expression of the specified IloObjective object.
    
    Throws:
    
    IloException
    Parameters:
    obj - The objective to modify.
    var - The variable for which to set the coefficient.
    val - The coefficient to set.
  - setLinearCoefs
```
void setLinearCoefs(IloObjective obj,
                  double[] val,
                  IloNumVar[] var)
                    throws IloException
```
    Sets linear coefficients for variables in the expression of the specified IloObjective object.
    
    Throws:
    
    IloException
    Parameters:
    obj - The objective to modify.
    val - The array of linear coefficient values. The linear coefficient of variable var[i] is set to val[i].
    var - The array of variables for which to set linear coefficients. A variable may only appear once in this array.
  - setLinearCoefs
```
void setLinearCoefs(IloObjective obj,
                  IloNumVar[] var,
                  double[] val)
                    throws IloException
```
    Sets linear coefficients for variables in the expression of the specified IloObjective object.
    
    Throws:
    
    IloException
    Parameters:
    obj - The objective to modify.
    val - The array of linear coefficient values. The linear coefficient of variable var[i] is set to val[i].
    var - The array of variables for which to set linear coefficients. A variable may only appear once in this array.
  - setLinearCoefs
```
void setLinearCoefs(IloObjective obj,
                  double[] val,
                  IloNumVar[] var,
                  int start,
                  int num)
                    throws IloException
```
    Sets linear coefficients for variables in the expression of the specified IloObjective object.
    
    Throws:
    
    IloException
    Parameters:
    obj - The objective to modify.
    val - The array containing linear coefficient values. The linear coefficient of variable var[i] is set to val[i].
    var - The array containing the variables for which to set linear coefficients. A variable may only appear once in this array.
    start - The first element in val and var to use for setting coefficients.
    num - The number of consecutive elements in val and var to use for setting coefficients.
  - setLinearCoefs
```
void setLinearCoefs(IloObjective obj,
                  IloNumVar[] var,
                  double[] val,
                  int start,
                  int num)
                    throws IloException
```
    Sets linear coefficients for variables in the expression of the specified IloObjective object.
    
    Throws:
    
    IloException
    Parameters:
    obj - The objective to modify.
    var - An array containing the variables for which to set linear coefficients. A variable may only appear once in this array.
    val - An array containing linear coefficient values. The linear coefficient of variable var[i] is set to val[i].
    start - The first element in val and var to use for setting coefficients.
    num - The number of consecutive elements in val and var to use for setting coefficients.
  - addToExpr
```
void addToExpr(IloRange rng,
             IloNumExpr expr)
               throws IloException
```
    Adds a term (which may be an expression itself) to the expression of the specified IloRange object.
    
    Throws:
    
    IloException
    Parameters:
    rng - The range constraint to modify.
    expr - The expression to add.
  - setLinearCoef
```
void setLinearCoef(IloRange rng,
                 double val,
                 IloNumVar var)
                   throws IloException
```
    Sets linear coefficient for variable var to val in the expression of the specified IloRange object.
    
    Throws:
    
    IloException
    Parameters:
    rng - The range constraint to modify.
    val - The coefficient to set.
    var - The variable for which to set the coefficient.
  - setLinearCoef
```
void setLinearCoef(IloRange rng,
                 IloNumVar var,
                 double val)
                   throws IloException
```
    Sets linear coefficient for variable var to val in the expression of the specified IloRange object.
    
    Throws:
    
    IloException
    Parameters:
    rng - The range constraint to modify.
    val - The coefficient to set.
    var - The variable for which to set the coefficient.
  - setLinearCoefs
```
void setLinearCoefs(IloRange rng,
                  double[] val,
                  IloNumVar[] var)
                    throws IloException
```
    Sets linear coefficients for variables in the expression of the specified IloRange object.
    
    Throws:
    
    IloException
    Parameters:
    rng - The range constraint to modify.
    val - The array of linear coefficient values. The linear coefficient of variable var[i] is set to val[i].
    var - The array of variables for which to set linear coefficients. A variable may only appear once in this array.
  - setLinearCoefs
```
void setLinearCoefs(IloRange rng,
                  IloNumVar[] var,
                  double[] val)
                    throws IloException
```
    Sets linear coefficients for variables in the expression of the specified IloRange object.
    
    Throws:
    
    IloException
    Parameters:
    rng - The range constraint to modify.
    var - The array of variables for which to set linear coefficients. A variable may only appear once in this array.
    val - The array of linear coefficient values. The linear coefficient of variable var[i] is set to val[i].
  - setLinearCoefs
```
void setLinearCoefs(IloRange rng,
                  double[] val,
                  IloNumVar[] var,
                  int start,
                  int num)
                    throws IloException
```
    Sets linear coefficients for variables in the expression of the specified IloRange object.
    
    Throws:
    
    IloException
    Parameters:
    rng - The range constraint to modify.
    val - An array containing linear coefficient values. The linear coefficient of variable var[i] is set to val[i].
    var - An array containing the variables for which to set linear coefficients. A variable may only appear once in this array.
    start - The first element in val and var to use for setting coefficients.
    num - The number of consecutive elements in val and var to use for setting coefficients.
  - setLinearCoefs
```
void setLinearCoefs(IloRange rng,
                  IloNumVar[] var,
                  double[] val,
                  int start,
                  int num)
                    throws IloException
```
    Sets linear coefficients for variables in the expression of the specified IloRange object.
    
    Throws:
    
    IloException
    Parameters:
    rng - The range constraint to modify.
    var - An array containing the variables for which to set linear coefficients. A variable may only appear once in this array.
    val - An array containing linear coefficient values. The linear coefficient of variable var[i] is set to val[i].
    start - The first element in val and var to use for setting coefficients.
    num - The number of consecutive elements in val and var to use for setting coefficients.
  - setQuadCoef
```
void setQuadCoef(IloObjective obj,
               double val,
               IloNumVar var1,
               IloNumVar var2)
                 throws IloException
```
    Sets quadratic coefficient for variable var1*var2 to val in the expression of the specified IloObjective object.
    
    Throws:
    
    IloException
    Parameters:
    obj - The objective to modify.
    val - The coefficient to set.
    var1 - The first variable for which to set the coefficient.
    var2 - The second for which to set the coefficient.
  - setQuadCoef
```
void setQuadCoef(IloObjective obj,
               IloNumVar var1,
               IloNumVar var2,
               double val)
                 throws IloException
```
    Sets quadratic coefficient for variable var1*var2 to val in the expression of the specified IloObjective object.
    
    Throws:
    
    IloException
    Parameters:
    obj - The objective to modify.
    var1 - The first variable for which to set the coefficient.
    var2 - The second for which to set the coefficient.
    val - The coefficient to set.

Interface IloMPModeler

Method Summary

Methods inherited from interface ilog.concert.IloModeler

Methods inherited from interface ilog.concert.IloModel

Methods inherited from interface ilog.concert.IloAddable

Method Detail

getModel

setModel

delete

delete

delete

quadIntExpr

quadNumExpr

lqIntExpr

lqNumExpr

minimize

minimize

maximize

maximize

objective

objective

addMinimize

addMinimize

addMaximize

addMaximize

addObjective

addObjective

addRange

addRange

range

range

numVar

numVar

numVarArray

numVarArray

numVarArray

numVarArray

numVar

numVar

numVarArray

numVarArray

numVarArray

numVarArray

intVar

intVar

intVarArray

intVarArray

intVarArray

intVarArray

boolVar

boolVar

boolVarArray

boolVarArray

semiContVar

semiContVar

semiContVar

semiContVar

semiContVarArray

semiContVarArray

semiContVarArray

semiContVarArray

semiContVarArray

semiContVarArray

semiContVarArray

semiContVarArray

piecewiseLinear

piecewiseLinear

piecewiseLinear

piecewiseLinear

abs

conversion

conversion

conversion

conversion

conversion

conversion

addLPMatrix

addLPMatrix

LPMatrix

LPMatrix