Name: computational complexity (en Inglés)
Price: 1275.52 USD
Availability: InStock
Author: Meyers, Robert A.
ISBN: 9781461417996

portada computational complexity (en Inglés)

Formato

Libro Físico

Ilustrado por

Robert A. Meyers

Editorial

Springer

Autor

Meyers, Robert A.

Idioma

Inglés

N° páginas

3492

Encuadernación

Tapa Dura

Dimensiones

30.5 x 24.1 x 27.9 cm

Peso

9.30 kg.

ISBN

1461417996

ISBN13

9781461417996

Categorías

Algoritmos y estructuras de datos
Minería de datos («data mining»)
Ciencias de la computación

computational complexity (en Inglés)

Robert A. Meyers (Ilustrado por) · Springer · Tapa Dura

Libro Nuevo Importado

Envío: 20 a 27 días háb.

$ 2,125.86$ 1,275.52

-40%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 1,275.52

Llega entre el 09 Sep y el 22 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "computational complexity (en Inglés)"

Complex systems are systems that comprise many interacting parts with the ability to generate a new quality of collective behavior through self-organization, e.g. the spontaneous formation of temporal, spatial or functional structures. These systems are often characterized by extreme sensitivity to initial conditions as well as emergent behavior that are not readily predictable or even completely deterministic. The recognition that the collective behavior of the whole system cannot be simply inferred from an understanding of the behavior of the individual components has led to the development of numerous sophisticated new computational and modeling tools with applications to a wide range of scientific, engineering, and societal phenomena. Computational Complexity: Theory, Techniques and Applications presents a detailed and integrated view of the theoretical basis, computational methods, and state-of-the-art approaches to investigating and modeling of inherently difficult problems whose solution requires extensive resources approaching the practical limits of present-day computer systems. This comprehensive and authoritative reference examines key components of computational complexity, including cellular automata, graph theory, data mining, granular computing, soft computing, wavelets, and more.