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Mathematical Modeling the Life Sciences Numerical Recipes in Python and MATLAB®
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The purpose of this unique textbook is to bridge the gap between the need for numerical
solutions to modeling techniques through computer simulations to develop skill in employing sensitivity analysis to biological and life sciences applications.
The underpinning mathematics is minimalized. The focus is on the consequences, implementation, and application. Historical context motivates the models. An understanding of the earliest models provides insight into more complicated ones.
While the text avoids getting mired in the details of numerical analysis, it demonstrates
how to use numerical methods and provides core codes that can be readily altered to fit a
variety of situations.
Numerical scripts in both Python and MATLAB® are included. Python is compiled in Jupyter Notebook to aid classroom use. Additionally, codes are organized and available online.
One of the most important skills requiring the use of computer simulations is sensitivityanalysis. Sensitivity analysis is increasingly used in biomathematics. There are numerous
pitfalls to using sensitivity analysis and therefore a need for exposure to worked examples
in order to successfully transfer their use from mathematicians to biologists.
The interconnections between mathematics and the life sciences have an extensive history. This book offers a new approach to using mathematics to model applications usingcomputers, to employ numerical methods, and takes students a step further into the realm
of sensitivity analysis. With some guidance and practice, the reader will have a new and
incredibly powerful tool to use.
solutions to modeling techniques through computer simulations to develop skill in employing sensitivity analysis to biological and life sciences applications.
The underpinning mathematics is minimalized. The focus is on the consequences, implementation, and application. Historical context motivates the models. An understanding of the earliest models provides insight into more complicated ones.
While the text avoids getting mired in the details of numerical analysis, it demonstrates
how to use numerical methods and provides core codes that can be readily altered to fit a
variety of situations.
Numerical scripts in both Python and MATLAB® are included. Python is compiled in Jupyter Notebook to aid classroom use. Additionally, codes are organized and available online.
One of the most important skills requiring the use of computer simulations is sensitivityanalysis. Sensitivity analysis is increasingly used in biomathematics. There are numerous
pitfalls to using sensitivity analysis and therefore a need for exposure to worked examples
in order to successfully transfer their use from mathematicians to biologists.
The interconnections between mathematics and the life sciences have an extensive history. This book offers a new approach to using mathematics to model applications usingcomputers, to employ numerical methods, and takes students a step further into the realm
of sensitivity analysis. With some guidance and practice, the reader will have a new and
incredibly powerful tool to use.
年:
2023
出版社:
CRC Press/Chapman & Hall
言語:
english
ページ:
246
ISBN 10:
100331693X
ISBN 13:
9781003316930
シリーズ:
Textbooks in Mathematics
ファイル:
PDF, 15.98 MB
あなたのタグ:
IPFS:
CID , CID Blake2b
english, 2023
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