In algorithmic analysis, little-o notation is used to quantitatively state that one function grows strictly slower than another function.
Formally speaking, we say that f(n) = o(g(n)) if
limn → ∞ f(n) / g(n) = 0.
That is, the rate of growth of f(n) is strictly slower than the rate of growth of g(n).