Package  Description 

agi.foundation.numericalmethods 
Contains general numerical algorithms.

agi.foundation.numericalmethods.advanced 
Contains additional advanced numerical algorithms and supporting types.

agi.foundation.propagators 
Contains types used in producing the state of an object from a known element set.

Modifier and Type  Class and Description 

class 
BulirschStoerIntegrator
An adaptive numerical integrator which uses successive subdivisions of the specified
step size in order to measure the relative error in order to update the step size.

class 
GaussJacksonIntegrator
A multistep second order integrator based on the GaussJackson integration algorithm, using
a
RungeKuttaFehlberg78Integrator to start the integration and a summed Adams first order integration algorithm. 
class 
RungeKutta4Integrator
A fourthorder fixed step RungeKutta integrator.

class 
RungeKuttaCashKarp45Integrator
This is a fourth order RungeKutta algorithm with error control based on the work
of Cash and Karp which can adapt the size of the integration step based on comparing the
fifth order evaluation with the fourth order evaluation to produce an estimate of
the numerical error produced by a given integration step.

class 
RungeKuttaFehlberg78Integrator
This is a seventh order RungeKutta algorithm with error control based on the work
of Fehlberg which can adapt the size of the integration step based on comparing the
eight order evaluation with the seventh order evaluation to produce an estimate of
the numerical error produced by a given integration step.

Constructor and Description 

NumericalIntegrator(NumericalIntegrator existingInstance,
CopyContext context)
Initializes a new instance as a copy of an existing instance.

Modifier and Type  Class and Description 

class 
AdaptiveNumericalIntegrator
Base class for all
NumericalIntegrator objects who can use error information
produced during integration to adapt the size of the step in order to adjust the amount of
error introduced into the dependent variables over successive integration steps. 
class 
MultipleStepIntegrator
A subtype of integrator which saves multiple steps of derivative data for more accurate
integration.

class 
RungeKuttaAdaptiveStepIntegrator
Defines a RungeKutta integrator which can adapt the size of its steps based on the integration error.

class 
RungeKuttaFixedStepIntegrator
Defines a RungeKutta integrator with a fixed step size.

Modifier and Type  Method and Description 

NumericalIntegrator 
NumericalPropagatorDefinition.getIntegrator()

Modifier and Type  Method and Description 

void 
NumericalPropagatorDefinition.setIntegrator(NumericalIntegrator value)
