Serves as an abstract base class for classes that implement one-dimensional
optimization algorithms.
Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.16312.0)
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| Name | Description |
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 | CreateSolutionReport |
Creates a solution report specific to the algorithm.
(Inherited from ManagedIterativeAlgorithmT.) |
 | Equals | Determines whether the specified Object is equal to the current Object. |
| Evaluate |
Evaluates the objective function.
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| EvaluateDerivative |
Evaluates the derivative of the objective function.
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| Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
| FindBracket |
Finds an interval that brackets the extremum, starting from the interval [0,1].
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| FindBracket(Double) |
Finds an interval that brackets the extremum, starting from an interval of unit width centered around the specified point.
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| FindBracket(Double, Double) |
Finds an interval that brackets the extremum, starting from an interval with the specified bounds.
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| FindBracket(Double, Double, Double) |
Finds an interval that brackets the extremum, starting from an interval with the specified bounds and
interior point.
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| FindExtremum |
Searches for an extremum.
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| FindMaximum(FuncDouble, Double, Double) |
Computes a maximum of the specified function.
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| FindMaximum(FuncDouble, Double, Double, Double) |
Computes a maximum of the specified function.
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| FindMinimum(FuncDouble, Double, Double) |
Computes a minimum of the specified function.
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| FindMinimum(FuncDouble, Double, Double, Double) |
Computes a minimum of the specified function.
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| GetHashCode | Serves as a hash function for a particular type. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. |
| IncrementEvaluations |
Increments the number of evaluations by one.
(Inherited from ManagedIterativeAlgorithmT.) |
| IncrementEvaluations(Int32) |
Increments the number of evaluations by the specified amount.
(Inherited from ManagedIterativeAlgorithmT.) |
| Iterate |
Performs one iteration of the algorithm.
(Inherited from ManagedIterativeAlgorithmT.) |
| Iterated |
Performs tasks after the iteration is completed, but before
the status of the algorithm is finalized.
(Inherited from ManagedIterativeAlgorithmT.) |
| MemberwiseClone | Creates a shallow copy of the current Object. |
| OnConvergence |
Performs any tasks after the main algorithm has converged.
(Overrides ManagedIterativeAlgorithmT, TError, TReportOnConvergence.) |
| OnFailure |
Performs any tasks after the main algorithm has failed to converge.
(Inherited from ManagedIterativeAlgorithmT.) |
| OnInit |
Performs initialization before the first iteration.
(Overrides ManagedIterativeAlgorithmT, TError, TReportOnInit.) |
| ReportFailure(T, TError, AlgorithmStatus) |
Records the results of an algorithm in case it fails.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) |
| ReportFailure(T, Double, AlgorithmStatus) |
Records the results of an algorithm in case it fails.
(Inherited from ManagedIterativeAlgorithmT.) |
| ReportResult(T, TError) |
Records the results of an algorithm.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) |
| ReportResult(T, Double) |
Records the results of an algorithm.
(Inherited from ManagedIterativeAlgorithmT.) |
| ReportSuccess(T, TError) |
Records the results of a algorithm that converged successfully.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) |
| ReportSuccess(T, Double) |
Records the results of a algorithm that converged successfully.
(Inherited from ManagedIterativeAlgorithmT.) |
| ResetEvaluations |
Resets the number of evaluations to zero.
(Inherited from ManagedIterativeAlgorithmT.) |
| Restart |
Prepares the algorithm to be run again with possibly different inputs.
(Inherited from ManagedIterativeAlgorithmT.) |
| Run |
Runs the algorithm.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) |
| Run |
Runs the algorithm.
(Inherited from ManagedIterativeAlgorithmT.) |
| Run(ParallelOptions) |
Runs the algorithm using the specified parallelization options.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) |
| Run(ParallelOptions) |
Runs the algorithm using the specified parallelization options.
(Inherited from ManagedIterativeAlgorithmT.) |
| SetResult(T, TError, AlgorithmStatus, Int32) |
Sets the results of an algorithm's execution.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) |
| SetResult(T, Double, AlgorithmStatus, Int32) |
Sets the results of an algorithm's execution.
(Inherited from ManagedIterativeAlgorithmT.) |
| TestConvergence |
Checks whether the algorithm has converged.
(Inherited from ManagedIterativeAlgorithmT.) |
| ThreadSafeIncrementEvaluations |
Increments the number of evaluations by one.
(Inherited from ManagedIterativeAlgorithmT.) |
| ThreadSafeIncrementEvaluations(Int32) |
Increments the number of evaluations by the specified amount.
(Inherited from ManagedIterativeAlgorithmT.) |
| ThrowConvergenceException | (Inherited from ManagedIterativeAlgorithmT.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
This class cannot be instantiated directly.
Instead, use one of the following derived classes:
ClassDescriptionBrentOptimizerRepresents a OneDimensionalOptimizer that uses the
Brent's algorithm that does not use derivatives of the objective function.BrentDerivativeOptimizerRepresents a OneDimensionalOptimizer that uses a variation of
Brent's algorithm that uses derivatives of the objective function.GoldenSectionOptimizerRepresents a OneDimensionalOptimizer that uses the
Golden Section search algorithm.MoreThuenteLineSearchRepresents a OneDimensionalOptimizer that uses the classic
algorithm of Moré and Thuente. ParabolicLineSearchRepresents a OneDimensionalOptimizer that uses a parabolic
line search algorithm. UnitLineSearchRepresents a OneDimensionalOptimizer that always returns a unit step.