Mathematical Modeling The Life Sciences Numerical Recipes In Python And Matlab N G Cogan by N. G. Cogan 9780367554934, 9781032328263, 9781003316930, 0367554933, 1032328266, 100331693X instant download after payment.

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.