Modifier and Type	Class and Description
private class	JacobianMatrices.JacobiansSecondaryEquations Local implementation of secondary equations.
private static class	JacobianMatrices.MainStateJacobianWrapper Wrapper class to compute jacobian matrices by finite differences for ODE which do not compute them by themselves.
public static class	JacobianMatrices.MismatchedEquations Special exception for equations mismatch.

Modifier and Type	Field and Description
private boolean	dirtyParameter Boolean for selected parameters consistency.
private ExpandableStatefulODE	efode Expandable first order differential equation.
private int	index Index of the instance in the expandable set.
private List<ParameterJacobianProvider>	jacobianProviders FODE with exact parameter Jacobian computation skill.
private MainStateJacobianProvider	jode FODE with exact primary Jacobian computation skill.
private double[]	matricesData State and parameters Jacobian matrices in a row.
private int	paramDim Parameters dimension.
private ParameterizedODE	pode FODE without exact parameter Jacobian computation skill.
private ParameterConfiguration[]	selectedParameters Selected parameters for parameter Jacobian computation.
private int	stateDim Main state vector dimension.

Access	Constructor and Description
public	JacobianMatrices(final FirstOrderDifferentialEquations the primary first order differential equations set to extend fode, final double[] step used for finite difference computation with respect to state vector hY, final String... parameters to consider for Jacobian matrices processing (may be null if parameters Jacobians is not desired) parameters) Simple constructor for a secondary equations set computing Jacobian matrices.
public	JacobianMatrices(final MainStateJacobianProvider the primary first order differential equations set to extend jode, final String... parameters to consider for Jacobian matrices processing (may be null if parameters Jacobians is not desired) parameters) Simple constructor for a secondary equations set computing Jacobian matrices.

Method Summary

Modifier and Type	Method and Description
public void	addParameterJacobianProvider(final ParameterJacobianProvider the parameter Jacobian provider to compute exactly the parameter Jacobian matrix provider) Add a parameter Jacobian provider.
private void	checkDimension(final int expected dimension expected, final Object (may be null if expected is 0) array) Check array dimensions.
public void	getCurrentMainSetJacobian(final double[][] current Jacobian matrix with respect to state. dYdY0) Get the current value of the Jacobian matrix with respect to state.
public void	getCurrentParameterJacobian(String name of the parameter for the computed Jacobian matrix pName, final double[] current Jacobian matrix with respect to the named parameter dYdP) Get the current value of the Jacobian matrix with respect to one parameter.
public void	registerVariationalEquations(final ExpandableStatefulODE expandable set into which variational equations should be registered expandable) Register the variational equations for the Jacobians matrices to the expandable set.
public void	setInitialMainStateJacobian(final double[][] initial Jacobian matrix w.r.t. state dYdY0) Set the initial value of the Jacobian matrix with respect to state.
public void	setInitialParameterJacobian(final String parameter name pName, final double[] initial Jacobian column vector with respect to the parameter dYdP) Set the initial value of a column of the Jacobian matrix with respect to one parameter.
public void	setParameterizedODE(final ParameterizedODE the parameterized ODE to compute the parameter Jacobian matrix using finite differences parameterizedOde) Set a parameter Jacobian provider.
public void	setParameterStep(final String parameter to consider for Jacobian processing parameter, final double step for Jacobian finite difference computation w.r.t. the specified parameter hP) Set the step associated to a parameter in order to compute by finite difference the Jacobian matrix.

Inherited from java.lang.Object:: clone equals finalize getClass hashCode notify notifyAll toString wait wait wait

Field Detail

dirtyParameter	back to summary
private boolean dirtyParameter Boolean for selected parameters consistency.

efode	back to summary
private ExpandableStatefulODE efode Expandable first order differential equation.

index	back to summary
private int index Index of the instance in the expandable set.

jacobianProviders	back to summary
private List<ParameterJacobianProvider> jacobianProviders FODE with exact parameter Jacobian computation skill.

jode	back to summary
private MainStateJacobianProvider jode FODE with exact primary Jacobian computation skill.

matricesData	back to summary
private double[] matricesData State and parameters Jacobian matrices in a row.

paramDim	back to summary
private int paramDim Parameters dimension.

pode	back to summary
private ParameterizedODE pode FODE without exact parameter Jacobian computation skill.

selectedParameters	back to summary
private ParameterConfiguration[] selectedParameters Selected parameters for parameter Jacobian computation.

stateDim	back to summary
private int stateDim Main state vector dimension.

Constructor Detail

JacobianMatrices back to summary

JacobianMatrices	back to summary
public JacobianMatrices(final FirstOrderDifferentialEquations fode, final double[] hY, final String... parameters) throws DimensionMismatchException Simple constructor for a secondary equations set computing Jacobian matrices. Parameters must belong to the supported ones given by `Parameterizable#getParametersNames()`, so the primary set of differential equations must be `Parameterizable`. Note that each selection clears the previous selected parameters. Parameters fode:FirstOrderDifferentialEquations the primary first order differential equations set to extend hY:double[] step used for finite difference computation with respect to state vector parameters:String[] parameters to consider for Jacobian matrices processing (may be null if parameters Jacobians is not desired) Exceptions DimensionMismatchException: if there is a dimension mismatch between the steps array `hY` and the equation dimension

public JacobianMatrices(final FirstOrderDifferentialEquations fode, final double[] hY, final String... parameters) throws DimensionMismatchException

Simple constructor for a secondary equations set computing Jacobian matrices.

Parameters must belong to the supported ones given by Parameterizable#getParametersNames(), so the primary set of differential equations must be Parameterizable.

Note that each selection clears the previous selected parameters.

Parameters

fode:FirstOrderDifferentialEquations: the primary first order differential equations set to extend
hY:double[]: step used for finite difference computation with respect to state vector
parameters:String[]: parameters to consider for Jacobian matrices processing (may be null if parameters Jacobians is not desired)

Exceptions

DimensionMismatchException:: if there is a dimension mismatch between the steps array hY and the equation dimension

JacobianMatrices back to summary

JacobianMatrices	back to summary
public JacobianMatrices(final MainStateJacobianProvider jode, final String... parameters) Simple constructor for a secondary equations set computing Jacobian matrices. Parameters must belong to the supported ones given by `Parameterizable#getParametersNames()`, so the primary set of differential equations must be `Parameterizable`. Note that each selection clears the previous selected parameters. Parameters jode:MainStateJacobianProvider the primary first order differential equations set to extend parameters:String[] parameters to consider for Jacobian matrices processing (may be null if parameters Jacobians is not desired)

public JacobianMatrices(final MainStateJacobianProvider jode, final String... parameters)

Simple constructor for a secondary equations set computing Jacobian matrices.

Parameters must belong to the supported ones given by Parameterizable#getParametersNames(), so the primary set of differential equations must be Parameterizable.

Note that each selection clears the previous selected parameters.

Parameters

jode:MainStateJacobianProvider: the primary first order differential equations set to extend
parameters:String[]: parameters to consider for Jacobian matrices processing (may be null if parameters Jacobians is not desired)

Method Detail

addParameterJacobianProvider	back to summary
public void addParameterJacobianProvider(final ParameterJacobianProvider provider) Add a parameter Jacobian provider. Parameters provider:ParameterJacobianProvider the parameter Jacobian provider to compute exactly the parameter Jacobian matrix

addParameterJacobianProvider

back to summary

public void addParameterJacobianProvider(final ParameterJacobianProvider provider)

Add a parameter Jacobian provider.

Parameters

provider:ParameterJacobianProvider: the parameter Jacobian provider to compute exactly the parameter Jacobian matrix

checkDimension	back to summary
private void checkDimension(final int expected, final Object array) throws DimensionMismatchException Check array dimensions. Parameters expected:int expected dimension array:Object (may be null if expected is 0) Exceptions DimensionMismatchException: if the array dimension does not match the expected one

checkDimension

back to summary

private void checkDimension(final int expected, final Object array) throws DimensionMismatchException

Check array dimensions.

Parameters

expected:int: expected dimension
array:Object: (may be null if expected is 0)

Exceptions

DimensionMismatchException:: if the array dimension does not match the expected one

getCurrentMainSetJacobian	back to summary
public void getCurrentMainSetJacobian(final double[][] dYdY0) Get the current value of the Jacobian matrix with respect to state. Parameters dYdY0:double[][] current Jacobian matrix with respect to state.

getCurrentMainSetJacobian

back to summary

public void getCurrentMainSetJacobian(final double[][] dYdY0)

Get the current value of the Jacobian matrix with respect to state.

Parameters

dYdY0:double[][]: current Jacobian matrix with respect to state.

getCurrentParameterJacobian	back to summary
public void getCurrentParameterJacobian(String pName, final double[] dYdP) Get the current value of the Jacobian matrix with respect to one parameter. Parameters pName:String name of the parameter for the computed Jacobian matrix dYdP:double[] current Jacobian matrix with respect to the named parameter

getCurrentParameterJacobian

back to summary

public void getCurrentParameterJacobian(String pName, final double[] dYdP)

Get the current value of the Jacobian matrix with respect to one parameter.

Parameters

pName:String: name of the parameter for the computed Jacobian matrix
dYdP:double[]: current Jacobian matrix with respect to the named parameter

registerVariationalEquations back to summary

registerVariationalEquations	back to summary
public void registerVariationalEquations(final ExpandableStatefulODE expandable) throws DimensionMismatchException, MismatchedEquations Register the variational equations for the Jacobians matrices to the expandable set. Parameters expandable:ExpandableStatefulODE expandable set into which variational equations should be registered Exceptions DimensionMismatchException: if the dimension of the partial state does not match the selected equations set dimension MismatchedEquations: if the primary set of the expandable set does not match the one used to build the instance See Also `ExpandableStatefulODE#addSecondaryEquations(SecondaryEquations)`

public void registerVariationalEquations(final ExpandableStatefulODE expandable) throws DimensionMismatchException, MismatchedEquations

Parameters

expandable:ExpandableStatefulODE: expandable set into which variational equations should be registered

Exceptions

DimensionMismatchException:: if the dimension of the partial state does not match the selected equations set dimension
MismatchedEquations:: if the primary set of the expandable set does not match the one used to build the instance

setInitialMainStateJacobian	back to summary
public void setInitialMainStateJacobian(final double[][] dYdY0) throws DimensionMismatchException Set the initial value of the Jacobian matrix with respect to state. If this method is not called, the initial value of the Jacobian matrix with respect to state is set to identity. Parameters dYdY0:double[][] initial Jacobian matrix w.r.t. state Exceptions DimensionMismatchException: if matrix dimensions are incorrect

setInitialMainStateJacobian

back to summary

public void setInitialMainStateJacobian(final double[][] dYdY0) throws DimensionMismatchException

Set the initial value of the Jacobian matrix with respect to state.

If this method is not called, the initial value of the Jacobian matrix with respect to state is set to identity.

Parameters

dYdY0:double[][]: initial Jacobian matrix w.r.t. state

Exceptions

DimensionMismatchException:: if matrix dimensions are incorrect

setInitialParameterJacobian	back to summary
public void setInitialParameterJacobian(final String pName, final double[] dYdP) throws UnknownParameterException, DimensionMismatchException Set the initial value of a column of the Jacobian matrix with respect to one parameter. If this method is not called for some parameter, the initial value of the column of the Jacobian matrix with respect to this parameter is set to zero. Parameters pName:String parameter name dYdP:double[] initial Jacobian column vector with respect to the parameter Exceptions UnknownParameterException: if a parameter is not supported DimensionMismatchException: if the column vector does not match state dimension

setInitialParameterJacobian

back to summary

public void setInitialParameterJacobian(final String pName, final double[] dYdP) throws UnknownParameterException, DimensionMismatchException

Set the initial value of a column of the Jacobian matrix with respect to one parameter.

If this method is not called for some parameter, the initial value of the column of the Jacobian matrix with respect to this parameter is set to zero.

Parameters

pName:String: parameter name
dYdP:double[]: initial Jacobian column vector with respect to the parameter

Exceptions

UnknownParameterException:: if a parameter is not supported
DimensionMismatchException:: if the column vector does not match state dimension

setParameterizedODE	back to summary
public void setParameterizedODE(final ParameterizedODE parameterizedOde) Set a parameter Jacobian provider. Parameters parameterizedOde:ParameterizedODE the parameterized ODE to compute the parameter Jacobian matrix using finite differences

setParameterizedODE

back to summary

public void setParameterizedODE(final ParameterizedODE parameterizedOde)

Set a parameter Jacobian provider.

Parameters

parameterizedOde:ParameterizedODE: the parameterized ODE to compute the parameter Jacobian matrix using finite differences

setParameterStep back to summary

setParameterStep	back to summary
public void setParameterStep(final String parameter, final double hP) throws UnknownParameterException Set the step associated to a parameter in order to compute by finite difference the Jacobian matrix. Needed if and only if the primary ODE set is a `ParameterizedODE`. Given a non zero parameter value pval for the parameter, a reasonable value for such a step is `pval * FastMath.sqrt(Precision.EPSILON)`. A zero value for such a step doesn't enable to compute the parameter Jacobian matrix. Parameters parameter:String parameter to consider for Jacobian processing hP:double step for Jacobian finite difference computation w.r.t. the specified parameter Exceptions UnknownParameterException: if the parameter is not supported See Also `ParameterizedODE`

public void setParameterStep(final String parameter, final double hP) throws UnknownParameterException

Set the step associated to a parameter in order to compute by finite difference the Jacobian matrix.

Needed if and only if the primary ODE set is a ParameterizedODE.

Given a non zero parameter value pval for the parameter, a reasonable value for such a step is pval * FastMath.sqrt(Precision.EPSILON).

A zero value for such a step doesn't enable to compute the parameter Jacobian matrix.

Parameters

parameter:String: parameter to consider for Jacobian processing
hP:double: step for Jacobian finite difference computation w.r.t. the specified parameter

Exceptions

UnknownParameterException:: if the parameter is not supported

See Also

ParameterizedODE

org.apache.commons.math3.ode back to summary

private Class JacobianMatrices.JacobiansSecondaryEquations

Class Inheritance

extends Object
implements SecondaryEquations

java.lang.Object
org.apache.commons.math3.ode.JacobianMatrices.JacobiansSecondaryEquations

All Implemented Interfaces

org.apache.commons.math3.ode.SecondaryEquations

Local implementation of secondary equations.

This class is an inner class to ensure proper scheduling of calls by forcing the use of JacobianMatrices#registerVariationalEquations(ExpandableStatefulODE).

Constructor Summary

Access	Constructor and Description
private	JacobiansSecondaryEquations()

Method Summary

Modifier and Type	Method and Description
public void	computeDerivatives(final double current value of the independent time variable t, final double[] array containing the current value of the primary state vector y, final double[] array containing the derivative of the primary state vector yDot, final double[] array containing the current value of the secondary state vector z, final double[] placeholder array where to put the derivative of the secondary state vector zDot) Implements org.apache.commons.math3.ode.SecondaryEquations.computeDerivatives. Compute the derivatives related to the secondary state parameters.
public int	getDimension() Implements org.apache.commons.math3.ode.SecondaryEquations.getDimension. Get the dimension of the secondary state parameters.

Modifier and Type

Method and Description

public void

computeDerivatives(final double

current value of the independent time variable

t, final double[]

array containing the current value of the primary state vector

y, final double[]

array containing the derivative of the primary state vector

yDot, final double[]

array containing the current value of the secondary state vector

z, final double[]

placeholder array where to put the derivative of the secondary state vector

zDot)

Implements org.apache.commons.math3.ode.SecondaryEquations.computeDerivatives.

Compute the derivatives related to the secondary state parameters.

public int

getDimension()

Implements org.apache.commons.math3.ode.SecondaryEquations.getDimension.

Get the dimension of the secondary state parameters.

Inherited from java.lang.Object:: clone equals finalize getClass hashCode notify notifyAll toString wait wait wait

Constructor Detail

JacobiansSecondaryEquations	back to summary
private JacobiansSecondaryEquations()

Method Detail

computeDerivatives	back to summary
public void computeDerivatives(final double t, final double[] y, final double[] yDot, final double[] z, final double[] zDot) throws MaxCountExceededException, DimensionMismatchException Implements org.apache.commons.math3.ode.SecondaryEquations.computeDerivatives. Doc from org.apache.commons.math3.ode.SecondaryEquations.computeDerivatives. Compute the derivatives related to the secondary state parameters. Parameters t:double current value of the independent time variable y:double[] array containing the current value of the primary state vector yDot:double[] array containing the derivative of the primary state vector z:double[] array containing the current value of the secondary state vector zDot:double[] placeholder array where to put the derivative of the secondary state vector Exceptions MaxCountExceededException: if the number of functions evaluations is exceeded DimensionMismatchException: if arrays dimensions do not match equations settings

computeDerivatives

back to summary

public void computeDerivatives(final double t, final double[] y, final double[] yDot, final double[] z, final double[] zDot) throws MaxCountExceededException, DimensionMismatchException

Implements org.apache.commons.math3.ode.SecondaryEquations.computeDerivatives.

Doc from org.apache.commons.math3.ode.SecondaryEquations.computeDerivatives.

Compute the derivatives related to the secondary state parameters.

Parameters

t:double: current value of the independent time variable
y:double[]: array containing the current value of the primary state vector
yDot:double[]: array containing the derivative of the primary state vector
z:double[]: array containing the current value of the secondary state vector
zDot:double[]: placeholder array where to put the derivative of the secondary state vector

Exceptions

MaxCountExceededException:: if the number of functions evaluations is exceeded
DimensionMismatchException:: if arrays dimensions do not match equations settings

getDimension	back to summary
public int getDimension() Implements org.apache.commons.math3.ode.SecondaryEquations.getDimension. Doc from org.apache.commons.math3.ode.SecondaryEquations.getDimension. Get the dimension of the secondary state parameters. Returns:int dimension of the secondary state parameters

getDimension

back to summary

public int getDimension()

Implements org.apache.commons.math3.ode.SecondaryEquations.getDimension.

Doc from org.apache.commons.math3.ode.SecondaryEquations.getDimension.

Get the dimension of the secondary state parameters.

Returns:int: dimension of the secondary state parameters

org.apache.commons.math3.ode back to summary

private Class JacobianMatrices.MainStateJacobianWrapper

Class Inheritance

extends Object
implements MainStateJacobianProvider

java.lang.Object
org.apache.commons.math3.ode.JacobianMatrices.MainStateJacobianWrapper

All Implemented Interfaces

org.apache.commons.math3.ode.MainStateJacobianProvider, org.apache.commons.math3.ode.FirstOrderDifferentialEquations

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

Field Summary

Modifier and Type	Field and Description
private final double[]	hY Steps for finite difference computation of the jacobian df/dy w.r.t. state.
private final FirstOrderDifferentialEquations	ode Raw ODE without jacobians computation skill to be wrapped into a MainStateJacobianProvider.

Constructor Summary

Access	Constructor and Description
pack-priv	MainStateJacobianWrapper(final FirstOrderDifferentialEquations original ODE problem, without jacobians computation skill ode, final double[] step sizes to compute the jacobian df/dy hY) Wrap a `FirstOrderDifferentialEquations` into a `MainStateJacobianProvider`.

Method Summary

Modifier and Type	Method and Description
public void	computeDerivatives(double current value of the independent time variable t, double[] array containing the current value of the state vector y, double[] placeholder array where to put the time derivative of the state vector yDot) Implements org.apache.commons.math3.ode.FirstOrderDifferentialEquations.computeDerivatives. Get the current time derivative of the state vector.
public void	computeMainStateJacobian(double current value of the independent time variable t, double[] array containing the current value of the main state vector y, double[] array containing the current value of the time derivative of the main state vector yDot, double[][] placeholder array where to put the jacobian matrix of the ODE w.r.t. the main state vector dFdY) Implements org.apache.commons.math3.ode.MainStateJacobianProvider.computeMainStateJacobian. Compute the jacobian matrix of ODE with respect to main state.
public int	getDimension() Implements org.apache.commons.math3.ode.FirstOrderDifferentialEquations.getDimension. Get the dimension of the problem.

Inherited from java.lang.Object:: clone equals finalize getClass hashCode notify notifyAll toString wait wait wait

Field Detail

hY	back to summary
private final double[] hY Steps for finite difference computation of the jacobian df/dy w.r.t. state.

ode	back to summary
private final FirstOrderDifferentialEquations ode Raw ODE without jacobians computation skill to be wrapped into a MainStateJacobianProvider.

Constructor Detail

MainStateJacobianWrapper back to summary

MainStateJacobianWrapper	back to summary
pack-priv MainStateJacobianWrapper(final FirstOrderDifferentialEquations ode, final double[] hY) throws DimensionMismatchException Wrap a `FirstOrderDifferentialEquations` into a `MainStateJacobianProvider`. Parameters ode:FirstOrderDifferentialEquations original ODE problem, without jacobians computation skill hY:double[] step sizes to compute the jacobian df/dy Exceptions DimensionMismatchException: if there is a dimension mismatch between the steps array `hY` and the equation dimension

pack-priv MainStateJacobianWrapper(final FirstOrderDifferentialEquations ode, final double[] hY) throws DimensionMismatchException

Wrap a FirstOrderDifferentialEquations into a MainStateJacobianProvider.

Parameters

ode:FirstOrderDifferentialEquations: original ODE problem, without jacobians computation skill
hY:double[]: step sizes to compute the jacobian df/dy

Exceptions

DimensionMismatchException:: if there is a dimension mismatch between the steps array hY and the equation dimension

Method Detail

computeDerivatives	back to summary
public void computeDerivatives(double t, double[] y, double[] yDot) throws MaxCountExceededException, DimensionMismatchException Implements org.apache.commons.math3.ode.FirstOrderDifferentialEquations.computeDerivatives. Doc from org.apache.commons.math3.ode.FirstOrderDifferentialEquations.computeDerivatives. Get the current time derivative of the state vector. Parameters t:double current value of the independent time variable y:double[] array containing the current value of the state vector yDot:double[] placeholder array where to put the time derivative of the state vector Exceptions MaxCountExceededException: if the number of functions evaluations is exceeded DimensionMismatchException: if arrays dimensions do not match equations settings

computeDerivatives

back to summary

public void computeDerivatives(double t, double[] y, double[] yDot) throws MaxCountExceededException, DimensionMismatchException

Implements org.apache.commons.math3.ode.FirstOrderDifferentialEquations.computeDerivatives.

Doc from org.apache.commons.math3.ode.FirstOrderDifferentialEquations.computeDerivatives.

Get the current time derivative of the state vector.

Parameters

t:double: current value of the independent time variable
y:double[]: array containing the current value of the state vector
yDot:double[]: placeholder array where to put the time derivative of the state vector

Exceptions

MaxCountExceededException:: if the number of functions evaluations is exceeded
DimensionMismatchException:: if arrays dimensions do not match equations settings

computeMainStateJacobian	back to summary
public void computeMainStateJacobian(double t, double[] y, double[] yDot, double[][] dFdY) throws MaxCountExceededException, DimensionMismatchException Implements org.apache.commons.math3.ode.MainStateJacobianProvider.computeMainStateJacobian. Doc from org.apache.commons.math3.ode.MainStateJacobianProvider.computeMainStateJacobian. Compute the jacobian matrix of ODE with respect to main state. Parameters t:double current value of the independent time variable y:double[] array containing the current value of the main state vector yDot:double[] array containing the current value of the time derivative of the main state vector dFdY:double[][] placeholder array where to put the jacobian matrix of the ODE w.r.t. the main state vector Exceptions MaxCountExceededException: if the number of functions evaluations is exceeded DimensionMismatchException: if arrays dimensions do not match equations settings

computeMainStateJacobian

back to summary

public void computeMainStateJacobian(double t, double[] y, double[] yDot, double[][] dFdY) throws MaxCountExceededException, DimensionMismatchException

Implements org.apache.commons.math3.ode.MainStateJacobianProvider.computeMainStateJacobian.

Doc from org.apache.commons.math3.ode.MainStateJacobianProvider.computeMainStateJacobian.

Compute the jacobian matrix of ODE with respect to main state.

Parameters

t:double: current value of the independent time variable
y:double[]: array containing the current value of the main state vector
yDot:double[]: array containing the current value of the time derivative of the main state vector
dFdY:double[][]: placeholder array where to put the jacobian matrix of the ODE w.r.t. the main state vector

Exceptions

MaxCountExceededException:: if the number of functions evaluations is exceeded
DimensionMismatchException:: if arrays dimensions do not match equations settings

getDimension	back to summary
public int getDimension() Implements org.apache.commons.math3.ode.FirstOrderDifferentialEquations.getDimension. Doc from org.apache.commons.math3.ode.FirstOrderDifferentialEquations.getDimension. Get the dimension of the problem. Returns:int dimension of the problem

getDimension

back to summary

public int getDimension()

Implements org.apache.commons.math3.ode.FirstOrderDifferentialEquations.getDimension.

Doc from org.apache.commons.math3.ode.FirstOrderDifferentialEquations.getDimension.

Get the dimension of the problem.

Returns:int: dimension of the problem

org.apache.commons.math3.ode back to summary

public Class JacobianMatrices.MismatchedEquations

Class Inheritance

extends MathIllegalArgumentException

java.lang.Object
java.lang.Throwable
java.lang.Exception
java.lang.RuntimeException
java.lang.IllegalArgumentException
org.apache.commons.math3.exception.MathIllegalArgumentException
org.apache.commons.math3.ode.JacobianMatrices.MismatchedEquations

Special exception for equations mismatch.

Since: 3.1

Field Summary

Modifier and Type	Field and Description
private static final long	serialVersionUID Hides org.apache.commons.math3.exception.MathIllegalArgumentException.serialVersionUID. Serializable UID.

Constructor Summary

Access	Constructor and Description
public	MismatchedEquations() Simple constructor.

Method Summary

Inherited from org.apache.commons.math3.exception.MathIllegalArgumentException:: getContext getLocalizedMessage getMessage

Field Detail

serialVersionUID	back to summary
private static final long serialVersionUID Hides org.apache.commons.math3.exception.MathIllegalArgumentException.serialVersionUID. Serializable UID.

serialVersionUID

back to summary

private static final long serialVersionUID

Hides org.apache.commons.math3.exception.MathIllegalArgumentException.serialVersionUID.

Serializable UID.

Constructor Detail

MismatchedEquations	back to summary
public MismatchedEquations() Simple constructor.

public Class JacobianMatrices

Nested and Inner Type Summary

Field Summary

Constructor Summary

Method Summary

Field Detail

Constructor Detail

Method Detail

private Class JacobianMatrices.JacobiansSecondaryEquations

Constructor Summary

Method Summary

Constructor Detail

Method Detail

private Class JacobianMatrices.MainStateJacobianWrapper

Field Summary

Constructor Summary

Method Summary

Field Detail

Constructor Detail

Method Detail

public Class JacobianMatrices.MismatchedEquations

Field Summary

Constructor Summary

Method Summary

Field Detail

Constructor Detail