gov.sandia.cognition.statistics.bayesian
Class ExtendedKalmanFilter.ModelJacobianEvaluator

java.lang.Object
  extended by gov.sandia.cognition.statistics.bayesian.ExtendedKalmanFilter.ModelJacobianEvaluator
All Implemented Interfaces:
Evaluator<Vector,Vector>
Enclosing class:
ExtendedKalmanFilter

protected class ExtendedKalmanFilter.ModelJacobianEvaluator
extends Object
implements Evaluator<Vector,Vector>

Holds the input constant while perturbing the state to estimate the Jacobian (A) matrix


Constructor Summary
ExtendedKalmanFilter.ModelJacobianEvaluator()
          Creates a new instance of ModelJacobianEvaluator
 
Method Summary
 Vector evaluate(Vector input)
          Evaluates the function on the given input and returns the output.
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

ExtendedKalmanFilter.ModelJacobianEvaluator

public ExtendedKalmanFilter.ModelJacobianEvaluator()
Creates a new instance of ModelJacobianEvaluator

Method Detail

evaluate

public Vector evaluate(Vector input)
Description copied from interface: Evaluator
Evaluates the function on the given input and returns the output.

Specified by:
evaluate in interface Evaluator<Vector,Vector>
Parameters:
input - The input to evaluate.
Returns:
The output produced by evaluating the input.