ISBN: 9781461368472 - modeling biological systems: principles and applications (3 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer-Verlag, 1996

    1461368472 / 9781461368472

    • Softcover

    Anbieter: Anybook.com, Lincoln, Vereinigtes KönigreichAnybook.com

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    Zustand: Gebraucht - Befriedigend

    EUR 26,51

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    Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft 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,950grams, ISBN:9781461368472.

  • Sprache: Englisch

    Verlag: Springer, 2012

    1461368472 / 9781461368472

    • Softcover

    Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections

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    Zustand: Neu

    EUR 185,09

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    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Springer, 2012

    1461368472 / 9781461368472

    • Softcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Zustand: Neu

    EUR 183,30

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended as a text for a first course on creating and analyzing computer simulation models of biological systems. The expected audience for this book are students wishing to use dynamic models to interpret real data mueh as they would use standard statistical techniques. It is meant to provide both the essential principles as well as the details and equa tions applicable to a few particular systems and subdisciplines. Biological systems, however, encompass a vast, diverse array of topics and problems. This book discusses only a select number of these that I have found to be useful and interesting to biologists just beginning their appreciation of computer simulation. The examples chosen span classical mathematical models of well-studied systems to state-of-the-art topics such as cellular automata and artificial life. I have stressed the relationship between the models and the biology over mathematical analysis in order to give the reader a sense that mathematical models really are useful to biologists. In this light, I have sought examples that address fundamental and, I think, interesting biological questions. Almost all of the models are directly COIIl pared to quantitative data to provide at least a partial demonstration that some biological models can accurately predict.…