Constructs a LagrangianFunction for the given objective function and constraints.

Returns a deep copy of the base. Deriving classes must override this method.

Determines whether the specified Object is equal to the current Object.

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Method for calculating the gradient with respect to the parameters while keeping x fixed at the specified value.

Calcuates the Hessian matrix with respect to x.

Returns a String that represents the current Object.

Gets and sets the delta used in the centeral difference method for approximating the gradient with respect to the parameters.

Gets and sets the dimension of the domain of the functional.