BoundedBroydenFletcherGoldfarbShanno Properties

Gets or sets the number of corrections used in the L-BFGS update. Recommended values are between 3 and 7. Default is 5.

Gets the number of function evaluations performed in the last call to Minimize or Maximize.

Gets or sets the function to be optimized.

Gets or sets the accuracy with which the solution is to be found. Default value is 1e5. Smaller values up until zero result in higher accuracy.

Gets or sets a function returning the gradient vector of the function to be optimized for a given value of its free parameters.

Gets or sets a tolerance value when detecting convergence of the gradient vector steps. Default is 0.

Gets the number of iterations performed in the last call to Minimize or Maximize.

Gets or sets the lower bounds of the interval in which the solution must be found.

Gets or sets the maximum number of iterations to be performed during optimization. Default is 0 (iterate until convergence).

Gets the number of variables (free parameters) in the optimization problem.

Gets the current solution found, the values of the parameters which optimizes the function.

Get the exit code returned in the last call to the Maximize or Minimize methods.

Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.

Gets or sets the upper bounds of the interval in which the solution must be found.

Gets the output of the function at the current Solution.