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Sách Mathematical Modeling the Life Sciences Numerical Recipes in Python and MATLAB®

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Sách Mathematical Modeling the Life Sciences Numerical Recipes in Python and MATLAB®

Sách keo gáy, bìa mềm
 
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.
 
Categories:Mathematics - Mathematical Statistics
 
Content Type:Books
 
Year:2023
 
Language:english
 
Pages:246
 

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