Издательство: | Книга по требованию |
Дата выхода: | июль 2011 |
ISBN: | 978-6-1302-8149-6 |
Объём: | 132 страниц |
Масса: | 221 г |
Размеры(В x Ш x Т), см: | 23 x 16 x 1 |
In mathematics, computer science, and related fields, big O notation (also known as Big Oh notation, Landau notation, Bachmann–Landau notation, and asymptotic notation) describes the limiting behavior of a function when the argument tends towards a particular value or infinity, usually in terms of simpler functions. Big O notation allows its users to simplify functions in order to concentrate on their growth rates: different functions with the same growth rate may be represented using the same O notation. Although developed as a part of pure mathematics, this notation is now frequently also used in computational complexity theory to describe an algorithm's usage of computational resources: the worst case or average case running time or memory usage of an algorithm is often expressed as a function of the length of its input using big O notation. This allows algorithm designers to predict the behavior of their algorithms and to determine which of multiple algorithms to use, in a way that is independent of computer architecture or clock rate. Big O notation is also used in many other fields to provide similar estimates.
Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.