gov.sandia.cognition.statistics.bayesian

Class ExtendedKalmanFilter.ModelJacobianEvaluator

java.lang.Object

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

All Implemented Interfaces:

Evaluator<Vector,Vector>

Enclosing class:

ExtendedKalmanFilter

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

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

Constructor Summary

Constructors

Constructor and Description
ModelJacobianEvaluator() Creates a new instance of ModelJacobianEvaluator

Method Summary

Modifier and Type	Method and Description
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

ModelJacobianEvaluator

public 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.