OdeRungeKutta Class |
Namespace: Imsl.Math
The OdeRungeKutta type exposes the following members.
Name | Description | |
---|---|---|
![]() | OdeRungeKutta | Constructs an ODE solver to solve the initial value
problem dy/dt = f(t,y).
|
Name | Description | |
---|---|---|
![]() | Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
![]() | ExamineStep |
Called before and after each internal step.
(Inherited from ODE.) |
![]() | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
![]() | GetHashCode | Serves as a hash function for a particular type. (Inherited from Object.) |
![]() | GetMaximumStepsize | Returns the maximum internal step size.
(Inherited from ODE.) |
![]() | GetType | Gets the Type of the current instance. (Inherited from Object.) |
![]() | MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
![]() | SetMaximumStepsize | Sets the maximum internal step size.
(Overrides ODE.SetMaximumStepsize(Double).) |
![]() | Solve | Integrates the ODE system from t to tEnd.
|
![]() | ToString | Returns a string that represents the current object. (Inherited from Object.) |
![]() | Vnorm | Returns the norm of a vector.
(Inherited from ODE.) |
Name | Description | |
---|---|---|
![]() | Floor | The value used in the norm computation.
(Inherited from ODE.) |
![]() | InitialStepsize | The initial internal step size.
(Inherited from ODE.) |
![]() | MaxSteps | The maximum number of internal steps allowed.
(Inherited from ODE.) |
![]() | MinimumStepsize | The minimum internal step size.
(Inherited from ODE.) |
![]() | NormMethod | The error norm.
(Inherited from ODE.) |
![]() | Scale | The scaling factor.
(Inherited from ODE.) |
![]() | Tolerance | The error tolerance.
(Inherited from ODE.) |
Class OdeRungeKutta finds an approximation to the solution
of a system of first-order differential equations of the form
with given initial data. The class
attempts to keep the global error proportional to a user-specified tolerance.
This class is efficient for nonstiff systems where the derivative
evaluations are not expensive.
OdeRungeKutta is based on a code designed by Hull, Enright and Jackson (1976, 1977). It uses Runge-Kutta formulas of order five and six developed by J. H. Verner.