## org.apache.commons.math.optimization.linear
Class SimplexSolver

    java.lang.Object
      org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
          org.apache.commons.math.optimization.linear.SimplexSolver

All Implemented Interfaces:
  LinearOptimizer

    public class SimplexSolver

extends AbstractLinearOptimizer

Solves a linear problem using the Two-Phase Simplex Method.

Since:
  2.0
Version:
  $Revision: 812831 $ $Date: 2009-09-09 04:48:03 -0400 (Wed, 09 Sep 2009) $

Field Summary
`private static double` `DEFAULT_EPSILON` Default amount of error to accept in floating point comparisons.
`protected double` `epsilon` Amount of error to accept in floating point comparisons.

Fields inherited from class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
`DEFAULT_MAX_ITERATIONS, function, goal, linearConstraints, nonNegative`

Constructor Summary
`SimplexSolver()` Build a simplex solver with default settings.
`SimplexSolver(double epsilon)` Build a simplex solver with a specified accepted amount of error

Method Summary
`protected void` `doIteration(SimplexTableau tableau)` Runs one iteration of the Simplex method on the given model.
`RealPointValuePair` `doOptimize()` Perform the bulk of optimization algorithm.
`private java.lang.Integer` `getPivotColumn(SimplexTableau tableau)` Returns the column with the most negative coefficient in the objective function row.
`private java.lang.Integer` `getPivotRow(SimplexTableau tableau, int col)` Returns the row with the minimum ratio as given by the minimum ratio test (MRT).
`protected void` `solvePhase1(SimplexTableau tableau)` Solves Phase 1 of the Simplex method.

Methods inherited from class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
`getIterations, getMaxIterations, incrementIterationsCounter, optimize, setMaxIterations`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Field Detail

### DEFAULT_EPSILON

    private static final double DEFAULT_EPSILON

  Default amount of error to accept in floating point comparisons.

  See Also:
    Constant Field Values

### epsilon

    protected final double epsilon

  Amount of error to accept in floating point comparisons.

Constructor Detail

### SimplexSolver

    public SimplexSolver()

  Build a simplex solver with default settings.

### SimplexSolver

    public SimplexSolver(double epsilon)

  Build a simplex solver with a specified accepted amount of error

  Parameters:
    `epsilon` - the amount of error to accept in floating point comparisons

Method Detail

### getPivotColumn

    private java.lang.Integer getPivotColumn(SimplexTableau tableau)

  Returns the column with the most negative coefficient in the objective function row.

  Parameters:
    `tableau` - simple tableau for the problem
  Returns:
    column with the most negative coefficient

### getPivotRow

    private java.lang.Integer getPivotRow(SimplexTableau tableau,
                                          int col)

  Returns the row with the minimum ratio as given by the minimum ratio test (MRT).

  Parameters:
    `tableau` - simple tableau for the problem
    `col` - the column to test the ratio of. See `getPivotColumn(SimplexTableau)`
  Returns:
    row with the minimum ratio

### doIteration

    protected void doIteration(SimplexTableau tableau)
                        throws OptimizationException

  Runs one iteration of the Simplex method on the given model.

  Parameters:
    `tableau` - simple tableau for the problem
  Throws:
    `OptimizationException` - if the maximal iteration count has been exceeded or if the model is found not to have a bounded solution

### solvePhase1

    protected void solvePhase1(SimplexTableau tableau)
                        throws OptimizationException

  Solves Phase 1 of the Simplex method.

  Parameters:
    `tableau` - simple tableau for the problem
  Throws:
    `OptimizationException` - if the maximal number of iterations is exceeded, or if the problem is found not to have a bounded solution, or if there is no feasible solution

### doOptimize

    public RealPointValuePair doOptimize()
                                  throws OptimizationException

  Perform the bulk of optimization algorithm.

  Specified by:
    `doOptimize` in class `AbstractLinearOptimizer`
  Returns:
    the point/value pair giving the optimal value for objective function
  Throws:
    `OptimizationException` - if no solution fulfilling the constraints can be found in the allowed number of iterations

Copyright (c) 2003-2011 Apache Software Foundation