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Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells - Rubem P. Mondaini
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Rubem P. Mondaini:

Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells - hardcover

2020, ISBN: 9783030732400

This volume gathers together selected, peer-reviewed papers presented at the BIOMAT 2020 International Symposium, which was virtually held on November 1-6, 2020, with an organization staf… More...

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Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells - Rubem P. Mondaini
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Rubem P. Mondaini:

Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells - hardcover

2021, ISBN: 9783030732400

Selected Works from the 20th BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2020, Buch, Hardcover, 1st ed. 2021, [PU: Springer International Publishing], Springer International Publi… More...

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Details of the book

Details of the book - Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells


EAN (ISBN-13): 9783030732400
Hardcover
Publishing year: 2020
Publisher: Springer International Publishing

Book in our database since 2021-03-24T03:16:25-04:00 (New York)
Detail page last modified on 2021-09-11T14:57:39-04:00 (New York)
ISBN/EAN: 9783030732400

ISBN - alternate spelling:
978-3-030-73240-0


Information from Publisher

Author: Rubem P. Mondaini
Title: Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells - Selected Works from the 20th BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2020
Publisher: Springer; Springer International Publishing
395 Pages
Publishing year: 2021-07-28
Cham; CH
Printed / Made in
Weight: 0,776 kg
Language: English
128,39 € (DE)
131,99 € (AT)
141,50 CHF (CH)
POD

BB; Book; Hardcover, Softcover / Mathematik/Sonstiges; DV-gestützte Biologie/Bioinformatik; Verstehen; COVID-19; HPV; Ebola; Coronavirus; mathematical modelling; computational modelling; predator-prey system; SLIR model; Lotka-Volterra biological model; BIOMAT Lectures; BIOMAT Consortium; Macroalgae-borne pathogen; Michaelis-Menten functional response; Phytoplankton-zooplankton interaction model; replicator systems; human papillomavirus; cell proliferation model; Hepatitis B virus infection; agent-based model; BCL2; B; Mathematical and Computational Biology; Ecology; Epidemiology; Mathematical and Computational Biology; Population Dynamics; Epidemiology; Ecology; Mathematics and Statistics; Ökologie, Biosphäre; Epidemiologie und medizinische Statistik; Ökologie, Biosphäre; EA; BC


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