CS 314Efficiency - Complexity 50 Relative Rates of Growth Analysis Type Mathematical Expression Relative Rates of Growth Big OT(N) = O( F(N) )T(N) < F(N) Big  T(N) =  ( F(N) ) T(N) > F(N) Big  T(N) =  ( F(N) ) T(N) = F(N) In spite of the additional precision offered by Big Theta, Big O is more commonly used, except by researchers in the algorithms analysis field - Mark Weiss