Sprache: Englisch
Verlag: Cambridge University Press, 2000
ISBN 10: 0521462452 ISBN 13: 9780521462457
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
EUR 48,94
Anzahl: 1 verfügbar
In den WarenkorbZustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9780521462457.
Sprache: Englisch
Verlag: Cambridge University Press, 2000
ISBN 10: 0521462452 ISBN 13: 9780521462457
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 163,61
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2000
ISBN 10: 0521462452 ISBN 13: 9780521462457
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 236,38
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. This book, first published in 2000, explores the exciting field of complexity. Editor(s): Bossomaier, Terry R. J.; Green, David G. Num Pages: 420 pages, 98 line figures 9 tables. BIC Classification: PSAF. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 24. Weight in Grams: 785. . 2000. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2000
ISBN 10: 0521462452 ISBN 13: 9780521462457
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, first published in 2000, explores the exciting field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, non-linear dynamics, artificial life and self-organization. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems and ecosystems. Some of the properties that best characterize complex systems, including algorithmic richness, non-linearity and abundant interactions between components are examined. In this way the book draws out themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities between phenomena that have formerly been treated as completely distinct. The idea of natural computation is particularly rich in fresh approaches applicable to both biology and computing. Analogies such as the DNA code as life's underlying program, or organisms as automata, are very compelling. Conversely, biologically inspired ideas such as cellular automata, genetic algorithms and neural networks are at the forefront of advanced computing.