 Name  Description 

 ConvergenceTests 
Gets the collection of convergence tests for the algorithm.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 Dimensions 
Gets or sets the number of dimensions of the optimization problem.

 EstimatedError 
Gets a value indicating the size of the absolute
error of the result.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 EvaluationsNeeded 
Gets the number of evaluations needed to execute the algorithm.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 EvaluationsRemaining 
Gets the number of evaluations still available.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 Extremum 
Gets or sets the current best approximation to the extremum.

 ExtremumType 
Gets or sets the type of extremum.

 FastGradientFunction 
Gets or sets the function that computes the gradient of the objective funciton.

 GradientEvaluationsNeeded 
Gets the number of evaluations of the gradient of the objective function.

 GradientFunction 
Gets or sets the function that computes the gradient of the objective funciton.

 GradientTest  
 GradientVector 
Gets or sets the current value of the gradient.

 HasSharedDegreeOfParallelism 
Indicates whether the degree of parallelism is a property that is shared
across instances.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 InitialGuess 
Gets or sets the initial value for the iteration.

 IterationsNeeded 
Gets the number of iterations needed by the
algorithm to reach the desired accuracy.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 IterationsRemaining 
Gets the number of iterations remaining.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 LastCorrection 
Gets the last correction to the solution of the system of equations.

 MaxDegreeOfParallelism 
Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 MaxEvaluations 
Gets or sets the maximum number of evaluations during the calculation.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 MaxIterations  Gets or sets the maximum number of iterations
to use when approximating the roots of the target
function.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 MinIterations 
Gets or sets the minimum iterations that have to be performed.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 ObjectiveFunction 
Gets or sets the objective function.

 ObjectiveFunctionWithGradient 
Gets or sets a function that evaluates the value and gradient
of the objective function.

 ParallelOptions 
Gets or sets the configuration for the parallel behavior of the algorithm.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 Result 
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, TError, TReport.) 
 SolutionTest  
 Status  (Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 SymbolicObjectiveFunction 
Gets or sets the objective function.

 ThrowExceptionOnFailure 
Gets or sets a value indicating whether to throw an
exception when the algorithm fails to converge.
(Inherited from ManagedIterativeAlgorithmT, TError, TReport.) 
 ValueAtExtremum 
Gets or sets the current value of the objective function.

 ValueTest  