GoldfarbIdnani Properties

Gets the indices of the active constraints found during the last call of the Minimize or Maximize methods.

Gets the constraint matrix A for the problem.

Gets the constraint tolerances b for the problem.

Gets the constraint values b for the problem.

Gets the total number of constraint removals performed on 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 total number of iterations performed on the last call to the Minimize or Maximize methods.

Gets the Lagrangian multipliers for the last solution found.

Gets the vector of linear terms of the quadratic optimization problem.

Gets or sets the maximum number of iterations that should be performed before the method terminates. If set to zero, the method will run to completion. Default is 0.

Gets the total number of constraints in the problem.

Gets how many constraints are inequality constraints.

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

Gets the matrix of quadratic terms of the quadratic 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 the output of the function at the current Solution.