Altaxo.Calc.Ode Namespace |
[Missing <summary> documentation for "N:Altaxo.Calc.Ode"]
Classes | Class | Description |
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| BandJacobianMatrixEvaluator |
Approximates the jacobian matrix using finite differences (assuming the jacobian is a band matrix with a fixed lower and upper bandwidth).
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| DenseJacobianMatrixEvaluator |
Approximates the jacobian matrix using finite differences (assuming the jacobian is a dense matrix).
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| DOP853 |
Runge-Kutta method of 8th order of Dormand and Prince. Supports step size control, stiffness detection and dense output.
If dense output is not needed, it is recommended to use RK8713M instead,
which gives slighly better accuracy.
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| DOP853CoreDOP853 | |
| GearsBDFWithNordsieckState |
Implements Gear's method for integration of stiff ordinary differential equations with step size and order adjustments, using Nordsieck's state.
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| GearsBDFWithNordsieckStateCore |
Contains core functions for Gear's method in combination with the Nordsieck state.
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| MultiStepMethodBase | |
| MultiStepMethodBaseInitializationData |
Stores the initialization data.
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| MultiStepMethodOptions |
Options for multistep Ode methods.
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| OdeMethodOptions |
Options for explicit Runge-Kutta methods.
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| RK546M |
Runge-Kutta method of 5th order of Dormand and Prince with 6 stages.
Attention: This method can only provide dense output of order 3.
If dense output of high accuracy is needed, use method RK547M .
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| RK547M |
Runge-Kutta method of 5th order of Dormand and Prince with 7 stages.
This method can provide dense output of order 4.
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| RK8713M |
Runge-Kutta method of 8th order of Dormand and Prince.
Attention: this method can only provide dense output of order 3.
If accurate dense output is needed, please use method DOP853.
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| RKF43 |
Embbeded formula of Runge-Kutta-Fehlberg, with an order of 4.
This method supports dense output of order 3.
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| RungeKuttaExplicitBase |
Base class for explicit Runge-Kutta methods.
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| RungeKuttaExplicitBaseCore |
The core implements functionality common to all Runge-Kutta methods, like stepping, error evaluation, interpolation and initial step finding.
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| SparseJacobianMatrixEvaluator |
Approximates the jacobian matrix using finite differences (assuming the jacobian is a sparse matrix).
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Delegates Enumerations | Enumeration | Description |
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| ErrorNorm |
Designates the norm used to calculate the local error.
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| OdeIterationMethod |
Iteration method for implicit Ode method (Gear's, implicit Adam's, and so on).
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| StepSizeFilter |
Designates the filter method for calculation of the recommended step size of the next step.
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