9781493944521 - Mathematics for the Life Sciences: Calculus, Modeling, Probability, and Dynamical Systems (springer Undergraduate Texts in Mathematics and Technology) by Ledder, Glenn (11 results)
Language: English
Published by Springer 2016
Series: Springer Undergraduate Texts in Mathematics and Technology, Book 12 of 32. Book 12 of 32 - Springer Undergraduate Texts in Mathematics and Technology
- Softcover
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Published by Springer Verlag 2016
Series: Springer Undergraduate Texts in Mathematics and Technology, Book 12 of 32. Book 12 of 32 - Springer Undergraduate Texts in Mathematics and Technology
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Paperback. Condition: Brand New. reprint edition. 451 pages. 10.00x7.01x1.03 inches. In Stock.
Language: English
Published by Springer 2016
Series: Springer Undergraduate Texts in Mathematics and Technology, Book 12 of 32. Book 12 of 32 - Springer Undergraduate Texts in Mathematics and Technology
- Softcover
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Taschenbuch. Condition: Neu. Mathematics for the Life Sciences | Calculus, Modeling, Probability, and Dynamical Systems | Glenn Ledder | Taschenbuch | Springer Undergraduate Texts in Mathematics and Technology | xx | Englisch | 2016 | Springer | EAN 9781493944521 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergar…tenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, Springer 2016
Series: Springer Undergraduate Texts in Mathematics and Technology, Book 12 of 32. Book 12 of 32 - Springer Undergraduate Texts in Mathematics and Technology
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Mathematics for the Life Sciences provides present and future biologists with the mathematical concepts and tools needed to understand and use mathematical models and read advanced mathematical biology books. It presents mathematics in biological c…ontexts, focusing on the central mathematical ideas, and providing detailed explanations. The author assumes no mathematics background beyond algebra and precalculus. Calculus is presented as a one-chapter primer that is suitable for readers who have not studied the subject before, as well as readers who have taken a calculus course and need a review. This primer is followed by a novel chapter on mathematical modeling that begins with discussions of biological data and the basic principles of modeling. The remainder of the chapter introduces the reader to topics in mechanistic modeling (deriving models from biological assumptions) and empirical modeling (using data to parameterize and select models). The modeling chapter contains a thorough treatment of key ideas and techniques that are often neglected in mathematics books. It also provides the reader with a sophisticated viewpoint and the essential background needed to make full use of the remainder of the book, which includes two chapters on probability and its applications to inferential statistics and three chapters on discrete and continuous dynamical systems. The biological content of the book is self-contained and includes many basic biology topics such as the genetic code, Mendelian genetics, population dynamics, predator-prey relationships, epidemiology, and immunology. The large number of problem sets include some drill problems along with a large number of case studies. The latter are divided into step-by-step problems and sorted into the appropriate section, allowing readers to gradually develop complete investigations from understanding the biological assumptions to a complete analysis.
Language: English
Published by Springer 2016
Series: Springer Undergraduate Texts in Mathematics and Technology, Book 12 of 32. Book 12 of 32 - Springer Undergraduate Texts in Mathematics and Technology
- Softcover
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Published by Springer New York Aug 2016 2016
Series: Springer Undergraduate Texts in Mathematics and Technology, Book 12 of 32. Book 12 of 32 - Springer Undergraduate Texts in Mathematics and Technology
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mathematics for the Life Sciences provides present and future biologists with the mathematical concepts and tools needed to understand and use mathematical models and read advanced mathematical biology books. It presents mathematics… in biological contexts, focusing on the central mathematical ideas, and providing detailed explanations. The author assumes no mathematics background beyond algebra and precalculus. Calculus is presented as a one-chapter primer that is suitable for readers who have not studied the subject before, as well as readers who have taken a calculus course and need a review. This primer is followed by a novel chapter on mathematical modeling that begins with discussions of biological data and the basic principles of modeling. The remainder of the chapter introduces the reader to topics in mechanistic modeling (deriving models from biological assumptions) and empirical modeling (using data to parameterize and select models). The modeling chapter contains a thorough treatment of key ideas and techniques that are often neglected in mathematics books. It also provides the reader with a sophisticated viewpoint and the essential background needed to make full use of the remainder of the book, which includes two chapters on probability and its applications to inferential statistics and three chapters on discrete and continuous dynamical systems. The biological content of the book is self-contained and includes many basic biology topics such as the genetic code, Mendelian genetics, population dynamics, predator-prey relationships, epidemiology, and immunology. The large number of problem sets include some drill problems along with a large number of case studies. The latter are divided into step-by-step problems and sorted into the appropriate section, allowing readers to gradually develop complete investigations from understanding the biological assumptions to a complete analysis. 456 pp. Englisch.
Language: English
Published by Springer 2016
Series: Springer Undergraduate Texts in Mathematics and Technology, Book 12 of 32. Book 12 of 32 - Springer Undergraduate Texts in Mathematics and Technology
- Softcover
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Language: English
Published by Springer New York 2016
Series: Springer Undergraduate Texts in Mathematics and Technology, Book 12 of 32. Book 12 of 32 - Springer Undergraduate Texts in Mathematics and Technology
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Many examples and exercises Emphasis on mathematical modeling  and dynamical systems approach  Most topics presented in a biological context rather than a math contextMany examples and exercises.
Language: English
Published by Springer 2016
Series: Springer Undergraduate Texts in Mathematics and Technology, Book 12 of 32. Book 12 of 32 - Springer Undergraduate Texts in Mathematics and Technology
- Softcover
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Language: English
Published by Springer 2016
Series: Springer Undergraduate Texts in Mathematics and Technology, Book 12 of 32. Book 12 of 32 - Springer Undergraduate Texts in Mathematics and Technology
- Softcover
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Published by Springer, Springer Aug 2016 2016
Series: Springer Undergraduate Texts in Mathematics and Technology, Book 12 of 32. Book 12 of 32 - Springer Undergraduate Texts in Mathematics and Technology
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -¿ ¿¿Mathematics for the Life Sciences provides present and future biologists with the mathematical concepts and tools needed to understand and use mathematical models and read advanced mathematical biology books. It presents mathematics… in biological contexts, focusing on the central mathematical ideas, and providing detailed explanations. The author assumes no mathematics background beyond algebra and precalculus. Calculus is presented as a one-chapter primer that is suitable for readers who have not studied the subject before, as well as readers who have taken a calculus course and need a review. This primer is followed by a novel chapter on mathematical modeling that begins with discussions of biological data and the basic principles of modeling. The remainder of the chapter introduces the reader to topics in mechanistic modeling (deriving models from biological assumptions) and empirical modeling (using data to parameterize and select models). The modeling chapter contains a thorough treatment of key ideas and techniques that are often neglected in mathematics books. It also provides the reader with a sophisticated viewpoint and the essential background needed to make full use of the remainder of the book, which includes two chapters on probability and its applications to inferential statistics and three chapters on discrete and continuous dynamical systems.The biological content of the book is self-contained and includes many basic biology topics such as the genetic code, Mendelian genetics, population dynamics, predator-prey relationships, epidemiology, and immunology. The large number of problem sets include some drill problems along with a large number of case studies. The latter are divided into step-by-step problems and sorted into the appropriate section, allowing readers to gradually develop complete investigations from understanding the biological assumptions to a complete analysis.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 456 pp. Englisch.
