The TrustRegionNewtonMethod type exposes the following members.
Gets or sets the function to be optimized.(Inherited from BaseOptimizationMethod.)
Gets or sets a function returning the gradient vector of the function to be optimized for a given value of its free parameters.(Inherited from BaseGradientOptimizationMethod.)
Gets or sets the Hessian estimation function.
Gets or sets the maximum number of iterations that should be performed until the algorithm stops. Default is 1000.
Gets the number of variables (free parameters) in the optimization problem.(Inherited from BaseOptimizationMethod.)
Gets the current solution found, the values of the parameters which optimizes the function.(Inherited from BaseOptimizationMethod.)
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.(Inherited from BaseOptimizationMethod.)
Gets or sets the tolerance under which the solution should be found. Default is 0.1.
Gets the output of the function at the current Solution.(Inherited from BaseOptimizationMethod.)