Verlag: Basic Books, 1998
ISBN 10: 0738200158 ISBN 13: 9780738200156
Zustand: Good. Good condition. Good dust jacket. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
Verlag: Basic Books, 1999
ISBN 10: 0738201723 ISBN 13: 9780738201726
Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Very Good.
Verlag: Basic Books, 1999
ISBN 10: 0738201723 ISBN 13: 9780738201726
Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.
Verlag: Cambridge University Press (edition 1), 2000
ISBN 10: 0521462452 ISBN 13: 9780521462457
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Verlag: Cambridge University Press, 2007
ISBN 10: 0521043719 ISBN 13: 9780521043717
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, first published in 2000, explores the exciting field of complexity.
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 explores the exciting new field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, nonlinear 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. Contributors examine some of the properties that best characterize complex systems, including algorithmic richness, nonlinearity, and abundant interactions between components. In this way the book draws themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities among phenomena that have formerly been treated as completely distinct. Researchers in a wide array of fields, including ecology, neuroscience, computer science, and mathematics, will find this volume to be a fascinating collection of ideas.