Mathematical Models in Biology – Elizabeth Allman – 1st Edition

Description

This introductory textbook focuses on models across a variety of subdisciplines, including linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree from DNA sequence data, genetics, and infectious disease models. The is suitable for students at a level, but assumes no calculus. Self-contained development of mathematical topics, such as matrix algebra and basic probability, is motivated by the biological models. Computer investigations with are incorporated throughout, in both exercises and more extensive projects, to give readers hands-on experience with the mathematical models developed.

Focusing on models across a variety of subdisciplines, this introductory textbook includes linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree from DNA sequence data, genetics, and infectious disease models. Assuming no knowledge of calculus, the development of mathematical topics, such as matrix algebra and basic probability, is motivated by the biological models. Computer research with is incorporated throughout in exercises and more extensive projects to provide readers with actual experience with the mathematical models.

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  • 1. Dynamic modeling with different equations
    2. Linear models of structured populations
    3. Non-linear models of interactions
    4. Modeling molecular evolution
    5. Constructing phylogenic trees
    6. Genetics
    7. Infectious disease modeling
    8. Curve fitting and biological modeling

    Appendix A. Basic analysis of numerical data
    Appendix B. For further reading.
  • Citation
    • Full Title: Mathematical Models in Biology
    • Author/s:
    • ISBN-10: 0521525861
    • ISBN-13: 9780521525862
    • Edition: 1st Edition
    • Publication date: 2003
    • Topic: Biology
    • Subtopic: General Biology
    • File Type: eBook | Solution Manual
    • Idioma: English

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385 pag.
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81 pag.
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81 pag.
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