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Lingua: Inglese
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Serie: Libro 12 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 30 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Lingua: Inglese
Editore: Springer, 2023
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Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 30 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Lingua: Inglese
Editore: Springer, 2023
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Editore: Springer International Publishing AG, Cham, 2023
Serie: Libro 30 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Hardcover. Condizione: new. Hardcover. Mathematical Modeling for Epidemiology and Ecology provides readers with the mathematical 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 the b…iological implications, with detailed explanations. The author assumes no mathematics background beyond elementary differential calculus. An introductory chapter on basic principles of mathematical modeling is followed by chapters on empirical modeling and mechanistic modeling. These chapters contain a thorough treatment of key ideas and techniques that are often neglected in mathematics books, such as the Akaike Information Criterion. The second half of the book focuses on analysis of dynamical systems, emphasizing tools to simplify analysis, such as the Routh-Hurwitz conditions and asymptotic analysis. Courses can be focused on either half of the book or thematically chosen material from both halves, such as a course on mathematical epidemiology.The biological content is self-contained and includes many topics in epidemiology and ecology. Some of this material appears in case studies that focus on a single detailed example, and some is based on recent research by the author on vaccination modeling and scenarios from the COVID-19 pandemic.The problem sets feature linked problems where one biological setting appears in multi-step problems that are sorted into the appropriate section, allowing readers to gradually develop complete investigations of topics such as HIV immunology and harvesting of natural resources. Some problems use programs written by the author for Matlab or Octave; these combine with more traditional mathematical exercises to give students a full set of tools for model analysis. Each chapter contains additional case studies in the form of projects with detailed directions. New appendices contain mathematical details on optimization, numerical solution of differential equations, scaling, linearization, and sophisticated use of elementary algebra to simplify problems. Mathematical Modeling for Epidemiology and Ecology provides readers with the mathematical tools needed to understand and use mathematical models and read advanced mathematical biology books. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Lingua: Inglese
Editore: Springer 29 A, 2013
Serie: Libro 12 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Hardcover. Condizione: Very Good. Mathematics for the Life Sciences: Calculus, Modeling, Probability, and Dynamical Systems (Springer Undergraduate Texts in Mathematics and Technology) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages…are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 30 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Hardcover. Condizione: Brand New. 2nd edition. 383 pages. 10.00x7.00x0.91 inches. In Stock.

Lingua: Inglese
Editore: Springer, 2013
Serie: Libro 12 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Condizione: New. pp. 452.

Lingua: Inglese
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Condizione: New. pp. 452 92 Illus. (40 Col.).

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Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 30 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Lingua: Inglese
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Serie: Libro 12 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Lingua: Inglese
Editore: Springer, 2024
Serie: Libro 30 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Condizione: New. 2nd ed. 2023 edition NO-PA16APR2015-KAP.

Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2022
Serie: Libro 30 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 12 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Taschenbuch. Condizione: Neu. Mathematical Modeling for Epidemiology and Ecology | Glenn Ledder | Taschenbuch | xix | Englisch | 2024 | Springer | EAN 9783031094569 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Lingua: Inglese
Editore: Springer, 2023
Serie: Libro 30 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Mathematical Modeling for Epidemiology and Ecologyprovides readers with the mathematical 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 the biological implications, with detailed explanations. The author assumes no mathematics background beyond elementary differential calculus.An introductory chapter on basic principles of mathematical modeling is followed by chapters on empirical modeling and mechanistic modeling. These chapters contain a thorough treatment of key ideas and techniques that are often neglected in mathematics books, such as the Akaike Information Criterion. The second half of the book focuses on analysis of dynamical systems, emphasizing tools to simplify analysis, such as the Routh-Hurwitz conditions and asymptotic analysis. Courses can be focused on either half of the book or thematically chosen material from both halves, such as a course on mathematical epidemiology.The biological content is self-contained and includes many topics in epidemiology and ecology. Some of this material appears in case studies that focus on a single detailed example, and some is based on recent research by the author on vaccination modeling and scenarios from the COVID-19 pandemic.The problem sets feature linked problems where one biological setting appears in multi-step problems that are sorted into the appropriate section, allowing readers to gradually develop complete investigations of topics such as HIV immunology and harvesting of natural resources. Some problems use programs written by the author for Matlab or Octave; these combine with more traditional mathematical exercises to give students a full set of tools for model analysis. Each chapter contains additional case studies in the form of projects with detailed directions. New appendices contain mathematical details on optimization, numerical solution of differential equations, scaling, linearization, and sophisticated use of elementary algebra to simplify problems.

Lingua: Inglese
Editore: Springer, 2024
Serie: Libro 30 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Mathematical Modeling for Epidemiology and Ecologyprovides readers with the mathematical 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 the biological implications, with detailed explanations. The author assumes no mathematics background beyond elementary differential calculus.An introductory chapter on basic principles of mathematical modeling is followed by chapters on empirical modeling and mechanistic modeling. These chapters contain a thorough treatment of key ideas and techniques that are often neglected in mathematics books, such as the Akaike Information Criterion. The second half of the book focuses on analysis of dynamical systems, emphasizing tools to simplify analysis, such as the Routh-Hurwitz conditions and asymptotic analysis. Courses can be focused on either half of the book or thematically chosen material from both halves, such as a course on mathematical epidemiology.The biological content is self-contained and includes many topics in epidemiology and ecology. Some of this material appears in case studies that focus on a single detailed example, and some is based on recent research by the author on vaccination modeling and scenarios from the COVID-19 pandemic.The problem sets feature linked problems where one biological setting appears in multi-step problems that are sorted into the appropriate section, allowing readers to gradually develop complete investigations of topics such as HIV immunology and harvesting of natural resources. Some problems use programs written by the author for Matlab or Octave; these combine with more traditional mathematical exercises to give students a full set of tools for model analysis. Each chapter contains additional case studies in the form of projects with detailed directions. New appendices contain mathematical details on optimization, numerical solution of differential equations, scaling, linearization, and sophisticated use of elementary algebra to simplify problems.

Lingua: Inglese
Editore: Springer Verlag, 2016
Serie: Libro 12 di 32 - Springer Undergraduate Texts in Mathematics and Technology
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. reprint edition. 451 pages. 10.00x7.01x1.03 inches. In Stock.