Returns a deep copy of self.

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.

Minimizes the L2 norm of the given function near the given starting point.

Sets both the gradient and solution delta tolerances to the given value.

Returns a String that represents the current Object.

Gets the final L2 norm, or residual, of the function being minimized.

Gets and sets the gradient tolerance. Iteration will stop when the infinity norm of the gradient used in calculating the next step falls below this value.

Gets the residual associated with the starting point.

Gets the number of iterations performed.

Gets and sets the maximum number of iterations to perform.

Returns true if the minimum just computed stopped because the maximum number of iterations was reached; otherwise, false.

Gets and sets the solution tolerance. Iteration will stop when the L2 norm of the step size falls below this value.

Gets and sets the value of tau.