• Precio recomendado: EUR 74,50
  • Ahorras: EUR 50,22 (67%)
  • Precio final del producto
Sólo queda(n) 3 en stock.
Vendido y enviado por amm_books.
EUR 24,28 + EUR 4,49 de gastos de envío
+ EUR 4,49 de gastos de envío
De 2ª mano: Como nuevo | Detalles
Vendido por amm_books
Estado: De 2ª mano: Como nuevo
Comentario: Unread. In stock ready to dispatch from the UK by air mail.
Compara Precios en Amazon
Añadir a la cesta
EUR 70,77
Envío GRATIS disponible. Ver detalles.
Vendido por: Amazon
¿Tienes uno para vender? Vender en Amazon
Volver atrás Ir adelante
Escuchar Reproduciendo... Interrumpido   Estás escuchando una muestra de la edición de audio Audible.
Más información
Ver las 2 imágenes

Complex Webs: Anticipating the Improbable (Inglés) Tapa dura – 23 dic 2010

Ver los 2 formatos y ediciones Ocultar otros formatos y ediciones
Precio Amazon
Nuevo desde Usado desde
Versión Kindle
Tapa dura
EUR 24,28
EUR 24,28 EUR 12,60
click to open popover

Descripción del producto


'Recent books highlighting different aspects of network science can be roughly separated into popular works that lay out an integrated scientific view of humans and modern technology; manuals and references focused on specific application areas such as biophysics, econophysics, or sociophysics; and texts that explore advanced networks-related topics that go beyond particular disciplines. Complex Webs most closely matches the last (and smallest) category, as it interweaves various topics from statistical physics to support the understanding of complex networks; perhaps in the future those topics will form the foundation of a network science.' H. Eugene Stanley, Physics Today

Reseña del editor

Complex Webs synthesises modern mathematical developments with a broad range of complex network applications of interest to the engineer and system scientist, presenting the common principles, algorithms, and tools governing network behaviour, dynamics, and complexity. The authors investigate multiple mathematical approaches to inverse power laws and expose the myth of normal statistics to describe natural and man-made networks. Richly illustrated throughout with real-world examples including cell phone use, accessing the Internet, failure of power grids, measures of health and disease, distribution of wealth, and many other familiar phenomena from physiology, bioengineering, biophysics, and informational and social networks, this book makes thought-provoking reading. With explanations of phenomena, diagrams, end-of-chapter problems, and worked examples, it is ideal for advanced undergraduate and graduate students in engineering and the life, social, and physical sciences. It is also a perfect introduction for researchers who are interested in this exciting new way of viewing dynamic networks.

Ver Descripción del producto

No es necesario ningún dispositivo Kindle. Descárgate una de las apps de Kindle gratuitas para comenzar a leer libros Kindle en tu smartphone, tablet u ordenador.

  • Apple
  • Android
  • Windows Phone

Obtén la app gratuita:

Detalles del producto

Opiniones de clientes

No hay opiniones de clientes
Comparte tu opinión con otros clientes