PowellOptimizer Properties

Properties

ConvergenceTests Gets the collection of convergence tests for the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
CurrentDirection Gets or sets the current search direction.
(Inherited from DirectionalOptimizer)
Dimensions Gets or sets the number of dimensions of the optimization problem.
(Inherited from MultidimensionalOptimizer)
EstimatedError Gets a value indicating the size of the absolute error of the result.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
EvaluationsNeeded Gets the number of evaluations needed to execute the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
Extremum Gets or sets the current best approximation to the extremum.
(Inherited from MultidimensionalOptimizer)
ExtremumType Gets or sets the type of extremum.
(Inherited from MultidimensionalOptimizer)
FastGradientFunction Gets or sets the function that computes the gradient of the objective funciton.
(Inherited from MultidimensionalOptimizer)
GradientEvaluationsNeeded Gets the number of evaluations of the gradient of the objective function.
(Inherited from MultidimensionalOptimizer)
GradientFunction Gets or sets the function that computes the gradient of the objective funciton.
(Inherited from MultidimensionalOptimizer)
GradientTest Gets the VectorConvergenceTest<T> that uses the gradient of the objective function.
(Inherited from MultidimensionalOptimizer)
GradientVector Gets or sets the current value of the gradient.
(Inherited from MultidimensionalOptimizer)
HasSharedDegreeOfParallelism Indicates whether the degree of parallelism is a property that is shared across instances.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
InitialGuess Gets or sets the initial value for the iteration.
(Inherited from MultidimensionalOptimizer)
IterationsNeeded Gets the number of iterations needed by the algorithm to reach the desired accuracy.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
LineSearch Gets or sets the algorithm used to perform a line search.
(Inherited from DirectionalOptimizer)
MaxDegreeOfParallelism Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
MaxEvaluations Gets or sets the maximum number of evaluations during the calculation.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
MaxIterationsGets or sets the maximum number of iterations to use when approximating the roots of the target function.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
MinIterations Gets or sets the minimum iterations that have to be performed.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
ObjectiveFunction Gets or sets the objective function.
(Inherited from MultidimensionalOptimizer)
ObjectiveFunctionWithGradient Gets or sets a function that evaluates the value and gradient of the objective function.
(Inherited from MultidimensionalOptimizer)
ParallelOptions Gets or sets the configuration for the parallel behavior of the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
Result Gets the result of an algorithm after it has executed.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
SolutionReport Gets the result of an algorithm after it has executed.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
SolutionTest Gets the VectorConvergenceTest<T> that uses the approximate solution.
(Inherited from MultidimensionalOptimizer)
Status Gets the AlgorithmStatus following an execution of the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
SymbolicObjectiveFunction Gets or sets the objective function.
(Inherited from MultidimensionalOptimizer)
ThrowExceptionOnFailure Gets or sets whether to throw an exception when the algorithm fails to converge.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>)
ValueAtExtremum Gets or sets the current value of the objective function.
(Inherited from MultidimensionalOptimizer)
ValueTest Gets the SimpleConvergenceTest<T> that uses the value of the target functions.
(Inherited from MultidimensionalOptimizer)

See Also