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• Extreme.Mathematics.Optimization.LineSearches
  • BacktrackingLineSearch Class
  • MoreThuenteLineSearch Class
  • ParabolicLineSearch Class
  • UnitLineSearch Class
• MoreThuenteLineSearch Class
  • MoreThuenteLineSearch Constructors
  • Properties
  • MoreThuenteLineSearch Methods
• Properties
  • CurvatureFactor Property
  • DescentFactor Property
  • MaxStepLength Property

MoreThuenteLineSearch Properties

Extreme Optimization Numerical Libraries for .NET Professional

The MoreThuenteLineSearch type exposes the following members.

Properties

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	Name	Description
	ConvergenceTests	Gets the collection of convergence tests for the algorithm. (Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
	ConvergenceTests	Gets the collection of convergence tests for the algorithm. (Inherited from ManagedIterativeAlgorithmT.)
	CurvatureFactor	Gets or sets the factor used in the curvature condition of the line search termination criteria.
	DerivativeOfObjectiveFunction	Gets or sets the derivative of the objective function. (Inherited from OneDimensionalOptimizer.)
	DescentFactor	Gets or sets the factor in the sufficient descent condition.
	EstimatedError	Gets a value indicating the size of the absolute error of the result. (Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
	EstimatedError	Gets a value indicating the size of the absolute error of the result. (Inherited from ManagedIterativeAlgorithmT.)
	EvaluationsNeeded	Gets the number of evaluations needed to execute the algorithm. (Inherited from ManagedIterativeAlgorithmT.)
	Extremum	Gets the approximation to the extremum after the algorithm has run. (Inherited from OneDimensionalOptimizer.)
	ExtremumType	Gets or sets the type of extremum. (Inherited from OneDimensionalOptimizer.)
	HasSharedDegreeOfParallelism	Indicates whether the degree of parallelism is a property that is shared across instances. (Inherited from ManagedIterativeAlgorithmT.)
	IsBracketValid	Gets whether the algorithm's current bracket is valid. (Inherited from OneDimensionalOptimizer.)
	IterationsNeeded	Gets the number of iterations needed by the algorithm to reach the desired accuracy. (Inherited from ManagedIterativeAlgorithmT.)
	MaxDegreeOfParallelism	Gets or sets the maximum degree of parallelism enabled by this instance. (Inherited from ManagedIterativeAlgorithmT.)
	MaxEvaluations	Gets or sets the maximum number of evaluations during the calculation. (Inherited from ManagedIterativeAlgorithmT.)
	MaxIterations	Gets or sets the maximum number of iterations to use when approximating the roots of the target function. (Inherited from ManagedIterativeAlgorithmT.)
	MaxStepLength	Gets or sets the largest allowed step length.
	MinIterations	Gets or sets the minimum iterations that have to be performed. (Inherited from ManagedIterativeAlgorithmT.)
	ObjectiveFunction	Gets or sets the objective function. (Inherited from OneDimensionalOptimizer.)
	Result	Gets the result of an algorithm after it has executed. (Inherited from ManagedIterativeAlgorithmT.)
	SolutionReport	Gets the result of an algorithm after it has executed. (Inherited from ManagedIterativeAlgorithmT, TError, TReport.)
	SolutionReport	Gets the result of an algorithm after it has executed. (Inherited from ManagedIterativeAlgorithmT.)
	SolutionTest	Gets the convergence test that uses the solution of the optimization. (Inherited from OneDimensionalOptimizer.)
	Status	Gets the AlgorithmStatus following an execution of the algorithm. (Inherited from ManagedIterativeAlgorithmT.)
	SymbolicObjectiveFunction	Gets or sets the objective function. (Inherited from OneDimensionalOptimizer.)
	ThrowExceptionOnFailure	Gets or sets a value indicating whether to throw an exception when the algorithm fails to converge. (Inherited from ManagedIterativeAlgorithmT.)
	ValueAtExtremum	Gets the value of the objective function at the approximation to the extremum after the algorithm has run. (Inherited from OneDimensionalOptimizer.)

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See Also

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Reference

MoreThuenteLineSearch Class

Extreme.Mathematics.Optimization.LineSearches Namespace

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