Levenberg
Properties
| Auto | Gets or sets whether scaling should be used. |
| Convergence |
Gets the collection of convergence tests for the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
| Dimensions |
Gets or sets the number of dimensions of the optimization problem.
(Inherited from LeastSquaresOptimizer) |
| Estimated |
Gets a value indicating the size of the absolute
error of the result.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
| Evaluations |
Gets the number of evaluations needed to execute the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
| Gradient |
Gets the VectorConvergenceTest<T> that uses the gradient of the objective function.
(Inherited from LeastSquaresOptimizer) |
| Gradient |
Gets or sets the current value of the gradient.
(Inherited from LeastSquaresOptimizer) |
| Has |
Indicates whether the degree of parallelism is a property that is shared
across instances.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
| Initial |
Gets or sets the initial value for the iteration.
(Inherited from LeastSquaresOptimizer) |
| Initial |
Gets or sets the initial size of the trust region.
(Inherited from LeastSquaresOptimizer) |
| Iterations |
Gets the number of iterations needed by the
algorithm to reach the desired accuracy.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
| Jacobian |
Gets or sets the number of times the Jacobian was evaluated.
(Inherited from LeastSquaresOptimizer) |
| Jacobian |
Gets or sets a delegate that computes the Jacobian of the problem.
(Inherited from LeastSquaresOptimizer) |
| Lower |
Gets or sets the vector of lower bounds for the solution.
(Inherited from LeastSquaresOptimizer) |
| Max |
Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
| Max |
Gets or sets the maximum number of evaluations during the calculation.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
| Max | Gets or sets the maximum number of iterations
to use when approximating the roots of the target
function.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
| Minimum |
Gets or sets the current best approximation to the minimum.
(Inherited from LeastSquaresOptimizer) |
| Minimum |
Gets or sets the current value of the objective function.
(Inherited from LeastSquaresOptimizer) |
| Min |
Gets or sets the minimum iterations that have to be performed.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
| Number |
Gets or sets the number of functions in the problem.
(Inherited from LeastSquaresOptimizer) |
| Objective |
Gets or sets a delegate that computes the function values of the problem.
(Inherited from LeastSquaresOptimizer) |
| Parallel |
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>) |
| Solution |
Gets the result of an algorithm after it has executed.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
| Solution |
Gets the VectorConvergenceTest<T> that uses the approximate solution.
(Inherited from LeastSquaresOptimizer) |
| Status |
Gets the AlgorithmStatus following
an execution of the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
| Throw |
Gets or sets whether to throw an
exception when the algorithm fails to converge.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
| Upper |
Gets or sets the upper bounds for the solution.
(Inherited from LeastSquaresOptimizer) |
| Value |
Gets the SimpleConvergenceTest<T> that uses the value of the target functions.
(Inherited from LeastSquaresOptimizer) |
| Variance |
Gets the variance-covariance matrix of the solution.
(Inherited from LeastSquaresOptimizer) |