Posted by **AvaxGenius** at April 22, 2017

English | EPUB | 2016 | 172 Pages | ISBN : 3319296361 | 2.82 MB

This book is based on a one semester course that the authors have been teaching for several years, and includes two sets of case studies. The first includes chemostat models, predator-prey interaction, competition among species, the spread of infectious diseases, and oscillations arising from bifurcations. In developing these topics, readers will also be introduced to the basic theory of ordinary differential equations, and how to work with MATLAB without having any prior programming experience.

Posted by **interes** at Jan. 29, 2017

English | 2016 | ISBN: 1597566527 | 380 pages | PDF | 15,4 MB

Posted by **Underaglassmoon** at May 5, 2016

Springer | Mathematics | May 29, 2016 | ISBN-10: 3319296361 | 172 pages | pdf | 4.78 mb

Authors: Chou, Ching Shan, Friedman, Avner

Addresses MATLAB programming for students without programming experience

Includes health topics of great public interest

Section of solutions included at the end of the book

Provides readers with background in numerical analysis and how they are applied in simulations of models

Posted by **interes** at Feb. 2, 2014

English | 2013 | ISBN: 0124104118 | ISBN-13: 9780124104112 | 884 pages | PDF | 55,6 MB

Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems - from molecular/cellular, organ-system, on up to population levels.

Posted by **tanas.olesya** at Feb. 8, 2016

English | 11 July 2007 | ISBN: 3540719873 | 340 Pages | PDF | 6 MB

Creating some links between control feedback and biology modeling communities based on similarities in modeling, observing and perceiving alive structures, and analyzing interconnections between biological structures and subsystems was the main objective of this volume.

Posted by **AlenMiler** at May 16, 2017

English | 16 May 2017 | ISBN: 0691176841, 0691170355 | 376 Pages | PDF | 17.32 MB

Posted by **AvaxGenius** at May 8, 2017

English | PDF | 2005 | 445 Pages | ISBN : 0387402713 | 3 MB

Longitudinal data are ubiquitous across Medicine, Public Health, Public Policy, Psychology, Political Science, Biology, Sociology and Education, yet many longitudinal data sets remain improperly analyzed. This book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, understanding, and interpreting longitudinal data models.

Posted by **step778** at May 5, 2017

2005 | pages: 312 | ISBN: 0387283110 | PDF | 8,6 mb

Posted by **interes** at May 1, 2017

English | 2016 | ISBN: 0198752954 | 432 pages | PDF | 13,2 MB

Posted by **ChrisRedfield** at April 24, 2017

Published: 2009-02-02 | ISBN: 3527407588 | PDF | 362 pages | 2.7 MB