Final answer:
The notation for algorithm complexity that has a positive constant c for all T(N) ≥ C * f(N) is T(N) = O(f(N)).
Step-by-step explanation:
The notation for algorithm complexity that has a positive constant c for all T(N) ≥ C * f(N) is T(N) = O(f(N)). The big O notation provides an upper bound on the growth rate of the algorithm's time complexity. It means that the algorithm's time complexity is no worse than the given function f(N) multiplied by a positive constant.