Describe the theoretical justification for the quadratic convergence rate of Newton's Method near a local minimum. Explain the role of the Hessian matrix (second-order information) in achieving this rate compared to the linear convergence of first-order methods. Discuss the specific conditions required for Newton's Method to converge quadratically.