Ledder Mathematical Modeling for Epidemiology and Ecology 9783031094538

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Автор: Ledder
Название: Mathematical Modeling for Epidemiology and Ecology
ISBN: 9783031094538
Издательство: Springer
Классификация:

Кибернетика и теория систем

Прикладная математика

Науки о жизни (медико-биологические): общие вопросы

ISBN-10: 3031094530
Обложка/Формат: Hardback
Страницы: 368
Вес: 0.50 кг.
Дата издания: 06.02.2023
Серия: Springer Undergraduate Texts in Mathematics and Technology
Язык: English
Издание: 2nd ed. 2023
Иллюстрации: 61 illustrations, color; 27 illustrations, black and white; xix, 364 p. 88 illus., 61 illus. in color.; 61 illustrations, color; 27 illustrations, bla
Размер: 260 x 184 x 25
Читательская аудитория: Professional & vocational
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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 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.
Дополнительное описание: Part I Mathematical Modeling.- 1 Modeling in Biology.- 2 Empirical Modeling.- 3 Mechanistic Modeling. Part II Dynamical Systems.- 4 Dynamics of Single Populations.- 5 Discrete Linear Systems.- 6 Nonlinear Dynamical Systems.- Appendix A. Using Matlab and O

Mathematical Modeling for Epidemiology and Ecology, Ledder