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Mathematical Models in the Biosciences II /
Volume Two of an award-winning professor's introduction to essential concepts of calculus and mathematical modeling for students in the biosciences This is the second of a two-part series exploring essential concepts of calculus in the context of biological systems. Building on the essential id...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New Haven, CT :
Yale University Press,
[2021]
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| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 100 | 1 | |a Frame, Michael, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Mathematical Models in the Biosciences II / |c Michael Frame. |
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| 505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t Preface -- |t Ways to use this book -- |t Acknowledgments -- |t Review of Volume 1 -- |t Chapter 13 Higher-dimensional differential equations -- |t Chapter 14 Stochastic models -- |t Chapter 15 A tiny bit of genetics -- |t Chapter 16 Markov chains in biology -- |t Chapter 17 Some vector calculus -- |t Chapter 18 A glimpse of systems biology -- |t Chapter 19 What's next? -- |t Appendix A Technical Notes -- |t Appendix B Some Mathematica code -- |t Appendix C Some useful integrals and hints -- |t References -- |t Index |
| 506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
| 520 | |a Volume Two of an award-winning professor's introduction to essential concepts of calculus and mathematical modeling for students in the biosciences This is the second of a two-part series exploring essential concepts of calculus in the context of biological systems. Building on the essential ideas and theories of basic calculus taught in Mathematical Models in the Biosciences I, this book focuses on epidemiological models, mathematical foundations of virus and antiviral dynamics, ion channel models and cardiac arrhythmias, vector calculus and applications, and evolutionary models of disease. It also develops differential equations and stochastic models of many biomedical processes, as well as virus dynamics, the Clancy-Rudy model to determine the genetic basis of cardiac arrhythmias, and a sketch of some systems biology. Based on the author's calculus class at Yale, the book makes concepts of calculus less abstract and more relatable for science majors and premedical students. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022) | |
| 650 | 0 | |a Biological systems |x Mathematical models. | |
| 650 | 0 | |a Life sciences |x Mathematical models. | |
| 650 | 0 | |a Systems biology |x Mathematical models. | |
| 650 | 7 | |a SCIENCE / Life Sciences / Biology. |2 bisacsh | |
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| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Medicine and Life Sciences 2021 English |z 9783110754148 |
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| 912 | |a 978-3-11-075414-8 EBOOK PACKAGE Medicine and Life Sciences 2021 English |b 2021 | ||
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