Sprache: Englisch
Verlag: Cambridge University Press, 2000
ISBN 10: 0521772281 ISBN 13: 9780521772280
Anbieter: Ammareal, Morangis, Frankreich
Hardcover. Zustand: Très bon. Ancien livre de bibliothèque avec équipements. Edition 2000. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2000. Ammareal gives back up to 15% of this item's net price to charity organizations.
Sprache: Englisch
Verlag: Cambridge University Press, 2000
ISBN 10: 0521772281 ISBN 13: 9780521772280
Anbieter: Prior Books Ltd, Cheltenham, Vereinigtes Königreich
Erstausgabe
EUR 11,94
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Like New. First Edition. A firm and square hardback with sharp corners and strong joints, just showing a few very minor cosmetic rubs. Hence a non-text page has a small 'damaged' stamp. Despite such this book is actually in nearly new condition and appears unread. Thus the contents are crisp, fresh and tight; no pen-marks. Now offered for sale at a very sensible price.
Sprache: Englisch
Verlag: Cambridge University Press, 2000
ISBN 10: 0521776589 ISBN 13: 9780521776585
Anbieter: Mike Park Ltd, London, Vereinigtes Königreich
Erstausgabe
EUR 26,88
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Good. First Edition. Large 8vo, pp xvi, 301, upper corner a little bumped, so first 30 pages or so are slightly folded, otherwise very clean and sound, paperback, corners slightly folded. [Computer simulations provide a powerful tool for understanding ecological and evolutionary systems. Simulating Ecological and Evolutionary Systems in C models a diverse range of biological processes and systems, including competition, foraging, predation, mating systems, and life-history optimization, by simulating large collections of interacting individuals. Using the widely available computer programming language C, the book starts with elementary programs modeling stochastic birth-death processes, slowly increasing programming complexity as the chapters progress. All the important features of C are covered, including arrays, files, pointers, and structures, within biologically motivated simulations. Although computer simulations of extremely complicated biological processes are released from rigid mathematical constraints, each of the simulations is also placed in the context of a mathematical formulation examined either analytically or numerically. Procedures covered include testing random number generators, producing PostScript files, root-finding, numerical integration and using the genetic algorithm.].
Sprache: Englisch
Verlag: Cambridge University Press, 2000
ISBN 10: 0521776589 ISBN 13: 9780521776585
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 82,69
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2000
ISBN 10: 0521776589 ISBN 13: 9780521776585
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computer simulations provide a powerful tool for understanding ecological and evolutionary systems. Simulating Ecological and Evolutionary Systems in C models a diverse range of biological processes and systems, including competition, foraging, predation, mating systems, and life-history optimization, by simulating large collections of interacting individuals. Using the widely available computer programming language C, the book starts with elementary programs modeling stochastic birth-death processes, slowly increasing programming complexity as the chapters progress. All the important features of C are covered, including arrays, files, pointers, and structures, within biologically motivated simulations. Although computer simulations of extremely complicated biological processes are released from rigid mathematical constraints, each of the simulations is also placed in the context of a mathematical formulation examined either analytically or numerically. Procedures covered include testing random number generators, producing PostScript files, root-finding, numerical integration and using the genetic algorithm.