Represents an implementation of an iterative algorithm that uses a managed
driver routine.
Namespace: Extreme.Mathematics
Assembly: Extreme.Numerics (Extreme.Numerics)
Syntax
| Visual Basic (Declaration) |
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Public MustInherit Class ManagedIterativeAlgorithm _ Inherits IterativeAlgorithm |
| C# |
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public abstract class ManagedIterativeAlgorithm : IterativeAlgorithm |
| C++ |
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public ref class ManagedIterativeAlgorithm abstract : public IterativeAlgorithm |
Methods
| Icon | Type | Description |
|---|---|---|
| Equals(Object) | ||
| Finalize() | ||
| GetHashCode() | Serves as a hash function for a particular type. | |
| GetType() | Gets the Type of the current instance. | |
| IncrementEvaluations() |
Increments the number of evaluations by one.
| |
| IncrementEvaluations(Int32) |
Increments the number of evaluations by the specified amount.
| |
| Iterate() |
Performs one iteration of the algorithm.
| |
| MemberwiseClone() | Creates a shallow copy of the current Object. | |
| OnConvergence() |
Performs any tasks after the main algorithm has converged.
| |
| OnFailure() |
Performs any tasks after the main algorithm has failed to converge.
| |
| OnInit() |
Performs initialization before the first iteration.
| |
| Run() |
Runs the algorithm.
| |
| SetResultProperties(Object, Double, AlgorithmStatus, Int32) |
Sets the results of an algorithm's execution.
| |
| SetResultProperties(Object, Double) |
Sets the results of an algorithm's execution.
| |
| TestConvergence() |
Checks whether the algorithm has converged.
| |
| ThrowException() |
Interprets the AlgorithmStatus and
throws the appropriate exception.
| |
| ToString() |
Constructors
| Icon | Type | Description |
|---|---|---|
| ManagedIterativeAlgorithmNew() |
Constructs a new managed iterative algorithm object.
|
Properties
| Icon | Type | Description |
|---|---|---|
| AbsoluteTolerance |
Gets or sets the absolute tolerance used in the
convergence test.
| |
| ConvergenceCriterion |
Gets or sets a value specifying the criterion that is
to be used in the convergence test for the algorithm.
| |
| ConvergenceTest |
Gets or sets the ConvergenceTest for the algorithm.
| |
| EstimatedError |
Gets a value indicating the size of the absolute
error of the result.
| |
| EvaluationsNeeded |
Gets the number of evaluations needed to execute the algorithm.
| |
| EvaluationsRemaining |
Gets the number of evaluations still available.
| |
| IterationResultCode |
Gets the AlgorithmStatus following
an execution of the algorithm.
| |
| IterationsNeeded |
Gets the number of iterations needed by the
algorithm to reach the desired accuracy.
| |
| IterationsRemaining |
Gets the number of iterations remaining.
| |
| MaxEvaluations |
Gets or sets the maximum number of evaluations during the calculation.
| |
| MaxIterations | Gets or sets the maximum number of iterations
to use when approximating the roots of the target
function.
| |
| RelativeTolerance |
Gets or sets the relative tolerance used in the
convergence test.
| |
| Result |
Gets the result of an algorithm after it has executed.
| |
| Status |
Gets the AlgorithmStatus following
an execution of the algorithm.
| |
| ThrowExceptionOnFailure |
Gets or sets a value indicating whether to throw an
exception when the algorithm fails to converge.
|
Remarks
Use ManagedIterativeAlgorithm as the base class for
classes that implement iterative algorithms.
Note to inheritors: You must override the following methods: Iterate(), TestConvergence(). You may also override OnInit() and OnConvergence().