Authors:
Presents mathematical theory to non-mathematicians
Includes exercises and chapter-level Q&A
Applies laboratory methodology and incorporates real laboratory exercises as supplementary material
Progresses in concept complexity from introductory to advanced
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Table of contents (18 chapters)
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Front Matter
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Back Matter
About this book
Every effort has been made to ensure that the material is accessible to those with a background in calculus. The text provides advanced mathematical concepts such as the Laplace and Fourier integral transforms in the form of Tools. Bayesian inference is introduced using a number of detective-type scenarios including the Monty Hall problem.
Authors and Affiliations
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W.M. Keck Science Department, The Claremont Colleges, Claremont, USA
John Milton
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Graduate School of Mathematics, Nagoya University, Nagoya, Japan
Toru Ohira
About the authors
Toru Ohira, Professor Mathematics, Graduate School of Mathematics, Nagoya University, Japan
Bibliographic Information
Book Title: Mathematics as a Laboratory Tool
Book Subtitle: Dynamics, Delays and Noise
Authors: John Milton, Toru Ohira
DOI: https://doi.org/10.1007/978-3-030-69579-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-69578-1Published: 12 August 2021
Softcover ISBN: 978-3-030-69581-1Published: 13 August 2022
eBook ISBN: 978-3-030-69579-8Published: 11 August 2021
Edition Number: 2
Number of Pages: XXV, 638
Number of Illustrations: 202 b/w illustrations, 8 illustrations in colour
Topics: Mathematical and Computational Biology, Neurology, Cell Physiology