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• Extreme.Mathematics.Algorithms
  • AlgorithmHelper Class
  • ConvergenceException Class
  • ConvergenceMode Enumeration
  • ConvergenceTest(T) Class
  • ConvergenceTestCollection(T) Class
  • ConvergenceTestQuantifier Enumeration
  • IterativeAlgorithm Class
  • ManagedIterativeAlgorithm Class
  • ManagedIterativeAlgorithm(T) Class
  • ManagedIterativeAlgorithm(T, TError, TReport) Class
  • OptimizationGoal Enumeration
  • SimpleConvergenceTest Class
  • SimpleConvergenceTest(T) Class
  • VectorConvergenceErrorMeasure Enumeration
  • VectorConvergenceNorm Enumeration
  • VectorConvergenceTest Class
  • VectorConvergenceTest(T) Class
• ManagedIterativeAlgorithm(T, TError, TReport) Class
  • ManagedIterativeAlgorithm(T, TError, TReport) Constructor
  • Properties
  • Methods
  • Fields
• Properties
  • ConvergenceTests Property
  • EstimatedError Property
  • EvaluationsNeeded Property
  • EvaluationsRemaining Property
  • HasSharedDegreeOfParallelism Property
  • IterationsNeeded Property
  • IterationsRemaining Property
  • MaxDegreeOfParallelism Property
  • MaxEvaluations Property
  • MaxIterations Property
  • MinIterations Property
  • ParallelOptions Property
  • Result Property
  • SolutionReport Property
  • Status Property
  • ThrowExceptionOnFailure Property

ManagedIterativeAlgorithmT, TError, TReport Properties

Extreme Optimization Numerical Libraries for .NET Professional

The ManagedIterativeAlgorithmT, TError, TReport generic type exposes the following members.

Properties

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	Name	Description
	ConvergenceTests	Gets the collection of convergence tests 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.
	HasSharedDegreeOfParallelism	Indicates whether the degree of parallelism is a property that is shared across instances.
	IterationsNeeded	Gets the number of iterations needed by the algorithm to reach the desired accuracy.
	IterationsRemaining	Gets the number of iterations remaining.
	MaxDegreeOfParallelism	Gets or sets the maximum degree of parallelism enabled by this instance.
	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.
	MinIterations	Gets or sets the minimum iterations that have to be performed.
	ParallelOptions	Gets or sets the configuration for the parallel behavior of the algorithm.
	Result	Gets the result of an algorithm after it has executed.
	SolutionReport	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.

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See Also

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Reference

ManagedIterativeAlgorithmT, TError, TReport Class

Extreme.Mathematics.Algorithms Namespace

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