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## org.apache.commons.math.optimization.fitting
Interface ParametricRealFunction

All Known Implementing Classes:
  ParametricGaussianFunction

    public interface ParametricRealFunction

An interface representing a real function that depends on one independent variable plus some extra parameters.

Version:
  $Revision: 1073158 $ $Date: 2011-02-21 22:46:52 +0100 (lun. 21 fÃ©vr. 2011) $

Method Summary
`double[]` | `gradient(double x, double[] parameters)` Compute the gradient of the function with respect to its parameters.
`double` | `value(double x, double[] parameters)` Compute the value of the function.

Method Detail

### value

    double value(double x,
                 double[] parameters)
                 throws FunctionEvaluationException

  Compute the value of the function.

  Parameters:
    `x` - the point for which the function value should be computed
    `parameters` - function parameters
  Returns:
    the value
  Throws:
    `FunctionEvaluationException` - if the function evaluation fails

### gradient

    double[] gradient(double x,
                      double[] parameters)
                      throws FunctionEvaluationException

  Compute the gradient of the function with respect to its parameters.

  Parameters:
    `x` - the point for which the function value should be computed
    `parameters` - function parameters
  Returns:
    the value
  Throws:
    `FunctionEvaluationException` - if the function evaluation fails

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