org.apache.commons.math3.ode

## Class ParameterJacobianWrapper

- java.lang.Object
- - org.apache.commons.math3.ode.ParameterJacobianWrapper

All Implemented Interfaces:
  Parameterizable, ParameterJacobianProvider

     class ParameterJacobianWrapper
    extends java.lang.Object
    implements ParameterJacobianProvider

Wrapper class to compute Jacobian matrices by finite differences for ODE which do not compute them by themselves.

Since:
  3.0
Version:
  $Id: ParameterJacobianWrapper.java 1416643 2012-12-03 19:37:14Z tn $

### Field Summary

Fields
`private FirstOrderDifferentialEquations` `fode` Main ODE set.
`private java.util.Map<java.lang.String,java.lang.Double>` `hParam` Steps for finite difference computation of the Jacobian df/dp w.r.t.
`private ParameterizedODE` `pode` Raw ODE without Jacobian computation skill to be wrapped into a ParameterJacobianProvider.

### Constructor Summary

Constructors
Constructor and Description
`ParameterJacobianWrapper(FirstOrderDifferentialEquations fode, ParameterizedODE pode, ParameterConfiguration[] paramsAndSteps)` Wrap a `ParameterizedODE` into a `ParameterJacobianProvider`.

### Method Summary

Methods
`void` `computeParameterJacobian(double t, double[] y, double[] yDot, java.lang.String paramName, double[] dFdP)` Compute the Jacobian matrix of ODE with respect to one parameter.
`java.util.Collection<java.lang.String>` `getParametersNames()` Get the names of the supported parameters.
`boolean` `isSupported(java.lang.String name)` Check if a parameter is supported.

### Methods inherited from class java.lang.Object

`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

### Field Detail

#### fode

    private final FirstOrderDifferentialEquations fode

Main ODE set.

#### pode

    private final ParameterizedODE pode

Raw ODE without Jacobian computation skill to be wrapped into a ParameterJacobianProvider.

#### hParam

    private final java.util.Map<java.lang.String,java.lang.Double> hParam

Steps for finite difference computation of the Jacobian df/dp w.r.t. parameters.

### Constructor Detail

#### ParameterJacobianWrapper

    public ParameterJacobianWrapper(FirstOrderDifferentialEquations fode,
                            ParameterizedODE pode,
                            ParameterConfiguration[] paramsAndSteps)

Wrap a `ParameterizedODE` into a `ParameterJacobianProvider`.

Parameters:
  `fode` - main first order differential equations set
  `pode` - secondary problem, without parameter Jacobian computation skill
  `paramsAndSteps` - parameters and steps to compute the Jacobians df/dp
See Also:
  `JacobianMatrices.setParameterStep(String, double)`

### Method Detail

#### getParametersNames

    public java.util.Collection<java.lang.String> getParametersNames()

Get the names of the supported parameters.

Specified by:
  `getParametersNames` in interface `Parameterizable`
Returns:
  parameters names
See Also:
  `Parameterizable.isSupported(String)`

#### isSupported

    public boolean isSupported(java.lang.String name)

Check if a parameter is supported.

Supported parameters are those listed by `Parameterizable.getParametersNames()`.

Specified by:
  `isSupported` in interface `Parameterizable`
Parameters:
  `name` - parameter name to check
Returns:
  true if the parameter is supported
See Also:
  `Parameterizable.getParametersNames()`

#### computeParameterJacobian

    public void computeParameterJacobian(double t,
                                double[] y,
                                double[] yDot,
                                java.lang.String paramName,
                                double[] dFdP)
                                  throws DimensionMismatchException,
                                         MaxCountExceededException

Compute the Jacobian matrix of ODE with respect to one parameter.

If the parameter does not belong to the collection returned by `Parameterizable.getParametersNames()`, the Jacobian will be set to 0, but no errors will be triggered.

Specified by:
  `computeParameterJacobian` in interface `ParameterJacobianProvider`
Parameters:
  `t` - current value of the independent time variable
  `y` - array containing the current value of the main state vector
  `yDot` - array containing the current value of the time derivative of the main state vector
  `paramName` - name of the parameter to consider
  `dFdP` - placeholder array where to put the Jacobian matrix of the ODE with respect to the parameter
Throws:
  `DimensionMismatchException` - if arrays dimensions do not match equations settings
  `MaxCountExceededException` - if the number of functions evaluations is exceeded