 Superlinear convergence

An iterative sequence converges superlinearly to its limit when its nonzero error norms satisfy the displayed ratio condition, or when it reaches the limit in finitely many steps. Quadratic convergence is a stronger local rate. In contrast, exact linear convergence has a positive asymptotic error ratio below one. A superlinear method need not have quadratic convergence.