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      1. Naturvetenskap och teknik
      2. Matematik och naturvetenskap
      3. Biologi
      4. Biovetenskap

      Discrete Mathematical Models in Population Biology

      Ecological, Epidemic, and Evolutionary Dynamics

      AvSaber N. Elaydi,Jim M. Cushing

      Inbunden, Engelska, 2025

      Del i serien Springer Undergraduate Texts in Mathematics and Technology

      419 kr

      Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

      Fler format och utgåvor

      Häftad

      426 kr

      Beskrivning

      This text lays the foundation for understanding the beauty and power of discrete-time models. It covers rich mathematical modeling landscapes, each offering deep insights into the dynamics of biological systems. A harmonious balance is achieved between theoretical principles, mathematical rigor, and practical applications. Illustrative examples, numerical simulations, and empirical case studies are provided to enhance mastery of the subject and facilitate the translation of discrete-time mathematical biology into real-world challenges. Mainly geared to upper undergraduates, the text may also be used in graduate courses focusing on discrete-time modeling.  Chapters 1–4 constitute the core of the text. Instructors will find the dependence chart quite useful when designing their particular course. This invaluable resource begins with an exploration of single-species models where frameworks for discrete-time modeling are established. Competition models and Predator-prey interactions are examined next followed by evolutionary models, structured population models, and models of infectious diseases. The consequences of periodic variations, seasonal changes, and cyclic environmental factors on population dynamics and ecological interactions are investigated within the realm of periodically forced biological models.This indispensable resource is structured to support educational settings:A first course in biomathematics, introducing students to the fundamental mathematical techniques essential for biological research.A modeling course with a concentration on developing and analyzing mathematical models that encapsulate biological phenomena.An advanced mathematical biology course that offers an in-depth exploration of complex models and sophisticated mathematical frameworks designed to tackle advanced problems in biology.With its clear exposition and methodical approach, this text educates and inspires students and professionals to apply mathematical biology to real-world situations.  While minimal knowledge of calculus is required, the reader should have a solid mathematical background in linear algebra.

      Produktinformation

      • Utgivningsdatum:2025-01-04
      • Mått:178 x 254 x 29 mm
      • Vikt:1 296 g
      • Format:Inbunden
      • Språk:Engelska
      • Serie:Springer Undergraduate Texts in Mathematics and Technology
      • Antal sidor:481
      • Förlag:Springer International Publishing AG
      • ISBN:9783031647949

      Utforska kategorier

      • Biovetenskap inom Naturvetenskap och teknik
      • Beräkning och matematisk analys inom Naturvetenskap och teknik

      Mer om författaren

      Saber N. Elaydi is Professor of Mathematics and the department chair at Trinity University in San Antonio, Texas. His main objectives in teaching is to make mathematics accessible to all Trinity students regardless of their background or academic focus. His UTM entitled An Introduction to Difference Equations is in its 3rd edition with Springer.Jim M. Cushing is Professor Emeritus of the Department of Mathematics at University of Arizona. His research involves the derivation and analysis of mathematical models that describe population and evolutionary dynamics. Professor Cushing is particularly interested in structured population dynamics and also studies evolutionary game theoretic versions of population models.

      Innehållsförteckning

      • Preface.- 1.Scalar Population Models.- 2. Linear Structured Population Models.- 3. Linear and Nonlinear Systems.- 4. Infectious Disease Models I.- 5. Models with Multiple Attractors.- 6. Nonlinear Structured Population Models.- 7. Infectious Disease Models II.- 8. Evolutionary Models.- 9. Autonomous Models.- Bibliography.- Index.
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