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    • Extreme.Mathematics Namespace
    • Extreme.Mathematics.Algorithms Namespace
    • Extreme.Mathematics.Calculus Namespace
    • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations Namespace
    • Extreme.Mathematics.Curves Namespace
    • Extreme.Mathematics.Curves.Nonlinear Namespace
    • Extreme.Mathematics.EquationSolvers Namespace
    • Extreme.Mathematics.Generic Namespace
    • Extreme.Mathematics.Generic.LinearAlgebra Namespace
    • Extreme.Mathematics.Generic.LinearAlgebra.Providers Namespace
    • Extreme.Mathematics.LinearAlgebra Namespace
    • Extreme.Mathematics.LinearAlgebra.Complex Namespace
    • Extreme.Mathematics.LinearAlgebra.Complex.Decompositions Namespace
    • Extreme.Mathematics.LinearAlgebra.IO Namespace
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers Namespace
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners Namespace
    • Extreme.Mathematics.LinearAlgebra.Providers Namespace
    • Extreme.Mathematics.LinearAlgebra.Sparse Namespace
    • Extreme.Mathematics.Optimization Namespace
    • Extreme.Mathematics.Optimization.LineSearches Namespace
    • Extreme.Mathematics.SignalProcessing Namespace
    • Extreme.Statistics Namespace
    • Extreme.Statistics.Distributions Namespace
    • Extreme.Statistics.IO Namespace
    • Extreme.Statistics.Multivariate Namespace
    • Extreme.Statistics.Random Namespace
    • Extreme.Statistics.Tests Namespace
    • Extreme.Statistics.TimeSeriesAnalysis Namespace
  • Extreme.Mathematics.Optimization Namespace
    • BrentDerivativeOptimizer Class
    • BrentOptimizer Class
    • ConjugateGradientMethod Enumeration
    • ConjugateGradientOptimizer Class
    • Constraint Class
    • ConstraintCollection Class
    • ConstraintType Enumeration
    • DecisionVariable Class
    • DecisionVariableCollection Class
    • DirectionalOptimizer Class
    • ExtremumType Enumeration
    • GoldenSectionOptimizer Class
    • LevenbergMarquardtOptimizer Class
    • LinearConstraint Class
    • LinearProgram Class
    • LinearProgramConstraint Class
    • LinearProgramVariable Class
    • MpsReader Class
    • MultidimensionalOptimizer Class
    • NelderMeadOptimizer Class
    • NonlinearConstraint Class
    • NonlinearProgram Class
    • OneDimensionalOptimizer Class
    • OptimizationModel Class
    • OptimizationModelEntity Class
    • OptimizationModelStatus Enumeration
    • OptimizationSolutionReport Class
    • PowellOptimizer Class
    • QuadraticProgram Class
    • QuasiNewtonMethod Enumeration
    • QuasiNewtonOptimizer Class
  • OneDimensionalOptimizer Class
    • Members
    • Constructors
    • Methods
    • Properties
  • Members
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OneDimensionalOptimizer Members

OneDimensionalOptimizer Class Constructors Methods Properties See Also 

The OneDimensionalOptimizer type exposes the following members.

Constructors

  Name Description
Protected method OneDimensionalOptimizer Overloaded.

Methods

  Name Description
Protected method CreateSolutionReport
Creates a solution report specific to the algorithm.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public method Equals
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
Protected method Evaluate
Evaluates the objective function.
Protected method EvaluateDerivative
Evaluates the derivative of the objective function.
Protected method Finalize
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.)
Public method FindBracket Overloaded.
Public method FindExtremum
Searches for an extremum.
Public method FindMaximum Overloaded.
Public method FindMinimum Overloaded.
Public method GetHashCode
Serves as a hash function for a particular type.
(Inherited from Object.)
Public method GetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected method IncrementEvaluations Overloaded.
Protected method Iterate
Performs one iteration of the algorithm.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Protected method Iterated
Performs tasks after the iteration is completed, but before the status of the algorithm is finalized.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Protected method MemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Protected method OnConvergence
Performs any tasks after the main algorithm has converged.
(Overrides ManagedIterativeAlgorithm<(Of <(<'T>)>)>..::..OnConvergence()()()().)
Protected method OnFailure
Performs any tasks after the main algorithm has failed to converge.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Protected method OnInit
Performs initialization before the first iteration.
(Overrides ManagedIterativeAlgorithm<(Of <(<'T>)>)>..::..OnInit()()()().)
Protected method ReportFailure
Records the results of an algorithm in case it fails.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Protected method ReportResult
Records the results of an algorithm.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Protected method ReportSuccess
Records the results of a algorithm that converged successfully.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Protected method ResetEvaluations
Resets the number of evaluations to zero.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Protected method Restart
Prepares the algorithm to be run again with possibly different inputs.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Protected method Run Overloaded.
Protected method SetResult
Sets the results of an algorithm's execution.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Protected method TestConvergence
Checks whether the algorithm has converged.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Protected method ThreadSafeIncrementEvaluations Overloaded.
Protected method ThrowConvergenceException
Interprets the AlgorithmStatus and throws the appropriate exception.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public method ToString
Returns a String that represents the current Object.
(Inherited from Object.)

Properties

  Name Description
Public property ConvergenceTests
Gets the collection of convergence tests for the algorithm.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property DerivativeOfObjectiveFunction
Gets or sets the derivative of the objective function.
Public property EstimatedError
Gets a value indicating the size of the absolute error of the result.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property EvaluationsNeeded
Gets the number of evaluations needed to execute the algorithm.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Protected property EvaluationsRemaining
Gets the number of evaluations still available.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property Extremum
Gets the approximation to the extremum after the algorithm has run.
Public property ExtremumType
Gets or sets the type of extremum.
Public property IsBracketValid
Gets a value that indicates whether the algorithm's current bracket is valid.
Public property IterationsNeeded
Gets the number of iterations needed by the algorithm to reach the desired accuracy.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Protected property IterationsRemaining
Gets the number of iterations remaining.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property MaxDegreeOfParallelism
Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property MaxEvaluations
Gets or sets the maximum number of evaluations during the calculation.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property MaxIterations
Gets or sets the maximum number of iterations to use when approximating the roots of the target function.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property MinIterations
Gets or sets the minimum iterations that have to be performed.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property ObjectiveFunction
Gets or sets the objective function.
Protected property ParallelOptions
Gets the configuration for the parallel behavior of the algorithm.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property Result
Gets the result of an algorithm after it has executed.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property SolutionReport
Gets the result of an algorithm after it has executed.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property SolutionTest
Gets the convergence test that uses the solution of the optimization.
Public property Status
Gets the AlgorithmStatus following an execution of the algorithm.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property SymbolicObjectiveFunction
Gets or sets the objective function.
Public property ThrowExceptionOnFailure
Gets or sets a value indicating whether to throw an exception when the algorithm fails to converge.
(Inherited from ManagedIterativeAlgorithm<(Of <(<'T>)>)>.)
Public property ValueAtExtremum
Gets the value of the objective function at the approximation to the extremum after the algorithm has run.

See Also

OneDimensionalOptimizer Class
Extreme.Mathematics.Optimization Namespace

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