Variable (SSC LP Solver 4.5.1 API)

```
public interface Variable
```
This interface allows accessing the optimal value assumed by the j-th variable of the LP problem (j=1..N). In addition to the optimal value, it is possible to retrieve other characteristics.

Version:

1.0

Author:

Stefano Scarioli

See Also:

SSC Software www.sscLab.org

Nested Class Summary

Nested Classes
Modifier and Type Interface Description

static class Variable.TYPE_VAR
Defines the type of variable: integer, binary, or continuous.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`double`	`getLower()`	Retrieves its lower bound.
`String`	`getName()`	Retrieves the name of the variable.
`Variable.TYPE_VAR`	`getType()`	Retrieves the type of the variable (integer, binary, continuous).
`double`	`getUpper()`	Retrieves its upper bound if set (by default it is + ∞)
`double`	`getValue()`	Retrieves the optimal value assumed by the variable within the determined optimal solution.
`boolean`	`isFree()`	Retrieves true if the variable is free.

- Method Detail
  - getName
```
String getName()
```
    Retrieves the name of the variable.
    
    Returns:
    
    The name of variable
  - getType
```
Variable.TYPE_VAR getType()
```
    Retrieves the type of the variable (integer, binary, continuous).
    
    Returns:
    
    The type of variable
  - getUpper
```
double getUpper()
```
    Retrieves its upper bound if set (by default it is + ∞)
    
    Returns:
    
    The upper bound of variable
  - getLower
```
double getLower()
```
    Retrieves its lower bound.
    
    Returns:
    
    The lower bound of variable
  - isFree
```
boolean isFree()
```
    Retrieves true if the variable is free. To make a variable free, it must have been defined for the variable either a negative upper bound, or a negative lower bound, or indefinite (- ∞).
    
    Returns:
    
    True if the variable is free.
  - getValue
```
double getValue()
```
    Retrieves the optimal value assumed by the variable within the determined optimal solution.
    
    Returns:
    
    The optimal value assumed by the variable within the determined optimal solution.