A Primer on Mathematical Models in Biology

A Primer on Mathematical Models in Biology  

Posted by ksveta6 at Dec. 14, 2015
A Primer on Mathematical Models in Biology

A Primer on Mathematical Models in Biology (Other Titles in Applied Mathematics) by Lee A. Segel, Leah Edelstein-Keshet
2013 | ISBN: 1611972493 | English | 450 pages | PDF | 5 MB

Explorations of Mathematical Models in Biology with MATLAB  eBooks & eLearning

Posted by roxul at April 6, 2016
Explorations of Mathematical Models in Biology with MATLAB

Mazen Shahin, "Explorations of Mathematical Models in Biology with MATLAB"
English | ISBN: 1118032128 | 2014 | 304 pages | PDF conv | 6 MB

A Primer on Linear Models (repost)  

Posted by arundhati at Jan. 16, 2016
A Primer on Linear Models (repost)

John F. Monahan, "A Primer on Linear Models"
English | ISBN: 1420062018 | 2008 | 304 pages | PDF | 2 MB

Mathematical Models in Biology  

Posted by Underaglassmoon at Nov. 29, 2015
Mathematical Models in Biology

Mathematical Models in Biology: Bringing Mathematics to Life
Springer | Mathematics | December 28, 2015 | ISBN-10: 331923496X | 199 pages | pdf | 7.2 mb

by Valeria Zazzu (Editor), Maria Brigida Ferraro (Editor), Mario R. Guarracino (Editor)
Presents up-to-date research on key problems in bioinformatics, biomechanics, and bioengineering
​​Provides timely and cutting-edge research in mathematics and biology
Illustrates state-of-the-art biological applications using mathematical models, methods and software tools
Mathematical Models in Biology: An Introduction by Elizabeth S. Allman [Repost]

Mathematical Models in Biology: An Introduction by Elizabeth S. Allman
English | October 13, 2003 | ISBN: 0521819806 | 385 Pages | PDF | 3 MB

Focusing on discrete models across a variety of biological subdisciplines, this introductory textbook includes linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree construction from DNA sequence data, genetics, and infectious disease models.
Explorations of Mathematical Models in Biology with Maple

Explorations of Mathematical Models in Biology with Maple by Mazen Shahin
2014 | ISBN: 111803211X | English | 312 pages | PDF | 2 MB
Mathematical Models in biology - An Introduction by Elizabeth S. Allman  [Repost]

Mathematical Models in biology - An Introduction by Elizabeth S. Allman
Cambridge University Press; 1 edition | October 13, 2003 | English | ISBN: 0521525861 | 386 pages | PDF | 1 MB

Focusing on discrete models across a variety of biological subdisciplines, this introductory textbook includes linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree construction from DNA sequence data, genetics, and infectious disease models. Assuming no knowledge of calculus, the development of mathematical topics, such as matrix algebra and basic probability, is motivated by the biological models.
Nonlinear PDEs: Mathematical Models in Biology, Chemistry and Population Genetics

Marius Ghergu, ‎Vicenţiu D. Rӑdulescu - Nonlinear PDEs: Mathematical Models in Biology, Chemistry and Population Genetics
Published: 2011-10-22 | ISBN: 3642226639, 3642269842 | PDF | 410 pages | 3 MB

A Primer on PDEs: Models, Methods, Simulations  

Posted by nebulae at Oct. 8, 2013
A Primer on PDEs: Models, Methods, Simulations

Sandro Salsa, "A Primer on PDEs: Models, Methods, Simulations"
English | ISBN: 8847028612 | 2013 | 480 pages | PDF | 7 MB

Mathematical Models in Biology: An Introduction by Elizabeth S. Allman  eBooks & eLearning

Posted by pepoimc at Feb. 2, 2011
Mathematical Models in Biology: An Introduction by Elizabeth S. Allman

Mathematical Models in Biology: An Introduction by Elizabeth S. Allman
Publisher: Cambridge University Press; illustrated edition (October 13, 2003) | ISBN: 0521819806 | Pages: 388 | PDF | 2.11 MB

Focusing on discrete models across a variety of biological subdisciplines, this introductory textbook includes linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree construction from DNA sequence data, genetics, and infectious disease models.