AugmentedLagrangian Properties

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

Gets or sets the function to be optimized.

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

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

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

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

Gets the inner dual problem optimization algorithm.

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 the output of the function at the current Solution.