Trends in Biomathematics: Mathematical Modeling for Health, Harvesting, and Population Dynamics
Author | : Rubem P. Mondaini |
Publisher | : Springer Nature |
Total Pages | : 437 |
Release | : 2019-10-03 |
ISBN-10 | : 9783030234331 |
ISBN-13 | : 3030234339 |
Rating | : 4/5 (31 Downloads) |
Download or read book Trends in Biomathematics: Mathematical Modeling for Health, Harvesting, and Population Dynamics written by Rubem P. Mondaini and published by Springer Nature. This book was released on 2019-10-03 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers a collection of carefully selected, peer-reviewed papers presented at the BIOMAT 2018 International Symposium, which was held at the University Hassan II, Morocco, from October 29th to November 2nd, 2018. The topics covered include applications of mathematical modeling in hepatitis B, HIV and Chikungunya infections; tumor cell dynamics; inflammatory processes; chemotherapeutic drug effects; and population dynamics. Also discussing the application of techniques like the generalized stochastic Milevsky-Promislov model, numerical simulations and convergence of discrete and continuous models, it is an invaluable resource on interdisciplinary research in mathematical biology for students, researchers, and professionals. Held every year since 2001, the BIOMAT International Symposium gathers together, in a single conference, researchers from Mathematics, Physics, Biology, and affine fields to promote the interdisciplinary exchange of results, ideas and techniques, promoting truly international cooperation for problem discussion. The 2018 edition of BIOMAT International Symposium received contributions by authors from seventeen countries: Algeria, Brazil, Cameroon, Canada, Chad, Colombia, France, Germany, Hungary, Italy, Mali, Morocco, Nigeria, Poland, Portugal, Russia, and Senegal. Selected papers presented at the 2017 edition of this Symposium were also published by Springer, in the volume “Trends in Biomathematics: Modeling, Optimization and Computational Problems” (978-3-319-91091-8).