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Mathematical Methods in Biology

Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Mathematical Methods in Biology by J. David Logan and William Wolesensky explores the intersection of mathematical concepts with biological processes. The book delves into various mathematical techniques and models used in biological research, offering insights into how quantitative analysis can inform our understanding of complex biological systems. It is an invaluable resource for those studying the implementation of mathematics in the natural sciences.
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book may appeal to you if you're intrigued by the intersection of mathematics and biology and are seeking comprehensive methods to model biological systems. It offers clear explanations and real-world applications that could captivate both students and professionals eager to deepen their understanding of how mathematical techniques can enhance the study of natural phenomena.

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Mathematics Method in Biology uniquely covers both deterministic and probabilistic models, including algorithms in the MATLAB platform. The book focuses mostly in one area of the life sciences, focusing mainly on theoretical ecology.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Mathematical Methods in Biology uniquely covers both deterministic and probabilistic models, including algorithms in the MATLAB platform. The book focuses primarily on one area of the life sciences, mainly theoretical ecology.

This resource provides an introduction to ecological modelling, population dynamics for single species, structure and interacting populations, interactions in continuous time, concepts of probability, statistical inference, and stochastic processes.

This valuable reference explains quantifiable theories in relation to population growth, animal behaviour, life histories, and environmental influences for environmental professionals.

Series: Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts

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  • Mathematical Methods in Biology
    Mathematical Methods in Biology uniquely covers both deterministic and probabilistic models, including algorithms in the MATLAB platform. The book focuses primarily on one area of the life sciences, mainly theoretical ecology. This resource provides an introduction to ecological modelling, population dynamics for single species, structure and interacting populations, interactions in continuous time, concepts of probability, statistical inference, and stochastic processes....
    Paperback
    $21899
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    Ships in 3-4 weeks
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    An in-depth look at real analysis and its applicationsβ€”now expanded and revised. This new edition of the widely used analysis book continues to cover real analysis in greater detail and at a more advanced level than most books on the subject. Encompassing several subjects that underlie much of modern analysis, the book focuses on measure and integration theory, point set...
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Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Mathematical Methods in Biology is praised for integrating MATLAB code within the text, providing practical applications of mathematical concepts. The book also includes exercises and hints for solutions, aiding learning and comprehension. Reviewers note that as the chapters advance, the mathematical and reasoning complexity also deepens, suggesting a progressive learning journey.

Book Hero reading reviews

Book Details

INFORMATION

ISBN: 9780470525876

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 11 September 2009

Country: United States

Imprint: John Wiley & Sons Inc

Illustration: Graphs: 50 B&W, 0 Color

Audience: Tertiary education

DIMENSIONS

Spine width: 23.0mm

Width: 158.0mm

Height: 234.0mm

Weight: 617g

Pages: 436

About the Author

J. David Logan, PhD, is Willa Cather Professor of Mathematics at the University of Nebraska--Lincoln. He has written more than eighty research articles in his areas of research interest, which include mathematical physics, combustion and detonation, hydrogeology, and mathematical biology. Dr. Logan is the author of Applied Mathematics, Third Edition and An Introduction to Nonlinear Partial Differential Equations, Second Edition, both published by Wiley. William R. Wolesensky, PhD, is Associate Professor in the Department of Mathematics at Doane College. Dr. Wolesensky has written numerous journal articles on the use of mathematical modeling techniques in scientific research.

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