Articoli correlati a Big O notation: Asymptotic analysis, Function (mathematics),...
Big O notation: Asymptotic analysis, Function (mathematics), Pure mathematics, Computational complexity theory, Algorithm, Computational resource, Best, worst and average case, Analysis of algorithms - Brossura
Sinossi
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online.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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Présentation de l'éditeur
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online.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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
(nessuna copia disponibile)
Cerca: Inserisci un desiderataNon riesci a trovare il libro che stai cercando? Continueremo a cercarlo per te. Se uno dei nostri librai lo aggiunge ad AbeBooks, ti invieremo una notifica!
Inserisci un desiderata