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Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 1.85. Bestandsnummer des Verkäufers G0412042010I5N00
This textbook introduces senior undergraduates and graduate students to the art and craft of creating and analyzing computer simulation models of biological systems. The field of biological modeling is huge, and the book is appropriately selective, nevertheless discusses a wide range of examples. The book assumes a minimum of mathematical sophistication on the part of the readers, and mathematical manipulations will not overwhelm them. The book assumes only some knowledge of single-variable linear regression and some basic calculus.
Críticas:
Throughout the book, the author aims to teach the concepts of mathematical modelling by example, allowing a full understanding of how and why mathematics is so important in biology. This is a superb introduction and complements the more technical literature... - The Biologist;
Covers a broad area with wit and enthusiasm, tempered with an appropriate degree of caution...a valuable introduction...a balanced selection of references makes this a handy source text for those seeking to learn more. - Journal of Animal Ecology;
The book will be useful for those readers who want to get a survey of the use of various types of models in biology. - Eur. Jnl. of Entomology, 1997;
This is an excellent book for the student who wants a mathematical model but does not know how to construct one - Journal of Experimental Marine Biology and Ecology.
Titel: Modeling Biological Systems: Principles and ...
Verlag: Springer
Erscheinungsdatum: 1996
Einband: Hardcover
Zustand: Fair
Zustand des Schutzumschlags: No Jacket
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Fair. Heavy wear. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported Softcover reprint of the original 1st ed. 1996. Bestandsnummer des Verkäufers 0412042010-7-1-13
Anzahl: 1 verfügbar
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
Zustand: 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,900grams, ISBN:9780412042010. Bestandsnummer des Verkäufers 8617899
Anzahl: 1 verfügbar
Anbieter: Cotswold Internet Books, Cheltenham, Vereinigtes Königreich
Zustand: Used - Good. Good hardback. 1st edition. A little neat pencilled underlining, otherwise a very nice bright copy. Bestandsnummer des Verkäufers BOOKS235260I
Anzahl: 1 verfügbar
Anbieter: Solibri, Epone, Frankreich
Zustand: very good. couverture cartonnée, moyen format , très bon état. . 3442004 - Modeling Biological Systems: Principles And Applications, Haefner, James W., Springer, 2013. Bestandsnummer des Verkäufers 3442004
Anzahl: 1 verfügbar
Anbieter: Bingo Used Books, Vancouver, WA, USA
Hardcover. Zustand: Very Good. Hardback in very good plus condition. Bestandsnummer des Verkäufers 161557
Anzahl: 1 verfügbar
Anbieter: Toscana Books, AUSTIN, TX, USA
Hardcover. Zustand: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Bestandsnummer des Verkäufers Scanned0412042010
Anzahl: 1 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 stand. Bestandsnummer des Verkäufers 5914057
Anzahl: Mehr als 20 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 496 pp. Englisch. Bestandsnummer des Verkäufers 9780412042010
Anzahl: 2 verfügbar
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 496 pp. Englisch. Bestandsnummer des Verkäufers 9780412042010
Anzahl: 2 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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. Bestandsnummer des Verkäufers 9780412042010
Anzahl: 1 verfügbar