Mathematical Biology

Mathematical Biology II: Spatial Models and Biomedical Applications (3rd edition)  eBooks & eLearning

Posted by ChrisRedfield at Sept. 13, 2014
Mathematical Biology II: Spatial Models and Biomedical Applications (3rd edition)

James D. Murray - Mathematical Biology II: Spatial Models and Biomedical Applications (3rd edition)
Published: 2011-02-15 | ISBN: 0387952284, 1475778708 | PDF | 814 pages | 12 MB
A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computationa by Thomas Hillen

A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computationa by Thomas Hillen
English | June 27, 2006 | ISBN: 0898716128 | 322 pages | PDF | 19 MB

This is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology.

Essential Mathematical Biology  eBooks & eLearning

Posted by arundhati at Jan. 23, 2015
Essential Mathematical Biology

Nicholas Britton, "Essential Mathematical Biology"
2005 | 2nd edition | ISBN-10: 185233536X | 352 pages | PDF | 10 MB
A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational (Repost)

Gerda de Vries, Thomas Hillen, Mark Lewis, "A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational"
2006 | pages: 322 | ISBN: 0898716128 | DJVU | 2,9 mb
A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational [Repost]

Gerda de Vries, Thomas Hillen, Mark Lewis, Birgitt Schõnfisch, Johannes Muller - A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational
Published: 2006-06-27 | ISBN: 0898716128 | PDF + DJVU | 309 pages | 36.76 MB

Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches  eBooks & eLearning

Posted by AvaxGenius at April 18, 2023
Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches

Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches by Johannes Müller , Christina Kuttler
English | PDF (True) | 2015 | 721 Pages | ISBN : 3642272509 | 11.4 MB

This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models and model-based analysis of data. The key topics of modern biomathematics are covered: ecology, epidemiology, biochemistry, regulatory networks, neuronal networks and population genetics. A variety of mathematical methods are introduced, ranging from ordinary and partial differential equations to stochastic graph theory and branching processes. A special emphasis is placed on the interplay between stochastic and deterministic models.
A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational (Repost)

Gerda de Vries, Thomas Hillen, Mark Lewis, "A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational"
2006 | pages: 322 | ISBN: 0898716128 | DJVU | 2,9 mb

Essential Mathematical Biology  eBooks & eLearning

Posted by silva1410 at Nov. 12, 2020
Essential Mathematical Biology

Essential Mathematical Biology
By Nicholas F. Britton
English | 2003 | ISBN: 185233536X | 370 pages | True PDF | 6.15 MB

Mathematical Biology: Discrete and Differential Equations  eBooks & eLearning

Posted by yoyoloit at June 27, 2024
Mathematical Biology: Discrete and Differential Equations

Mathematical Biology: Discrete and Differential Equations
by Christina Alvey

English | 2024 | ISBN: 1032288256 | 379 pages | True PDF | 9.2 MB

Mathematical Biology  eBooks & eLearning

Posted by Underaglassmoon at Sept. 14, 2018
Mathematical Biology

Mathematical Biology: Modeling and Analysis
AMS | English | 2018 | ISBN-10: 1470447150 | 100 pages | PDF | 3.10 MB

by Avner Friedman (Author)
The fast growing field of mathematical biology addresses biological questions using mathematical models from areas such as dynamical systems, probability, statistics, and discrete mathematics.