Big O notation

Big O notation is a mathematical notation that describes the approximate size of a function on a domain. Big O is a member of a family of notations invented by the German mathematicians Paul Bachmann and Edmund Landau and expanded by others, collectively called Bachmann–Landau notation. The letter O stands for Ordnung, that is, the order of approximation.

In computer science, big O notation is used to classify algorithms by how their run time or space requirements grow with the input. In analytic number theory, big O notation expresses bounds on the growth of an arithmetical function, as for the remainder term in the prime number theorem.

In mathematical analysis, including calculus, Big O notation bounds the error when truncating a power series and expresses the quality

of approximation of a real or complex valued function by a simpler function.

Often, big O notation characterizes functions according to their growth rates as the variable becomes large: different functions with the same asymptotic growth rate may be represented using the same O notation. The letter O is used because the growth rate of a function is also referred to as the order of the function. A description of a function in terms of big O notation only provides an upper bound on the growth rate of the function.

Associated with big O notation are several related notations, using the symbols

o

{\displaystyle o}

,

∼

{\displaystyle \sim }

,

Ω

{\displaystyle \Omega }

,

≪

{\displaystyle \ll }

,

≫

{\displaystyle \gg }

,

≍

{\displaystyle \asymp }

,

ω

{\displaystyle \omega }

, and

Θ

{\displaystyle \Theta }

to describe other kinds of bounds on growth rates.