eBook, PDF

Mathematical Modelling in Health, Social and Applied Sciences (eBook, PDF)

Beschreibung

This book discusses significant research findings in the field of mathematical modelling, with particular emphasis on important applied-sciences, health, and social issues. It includes topics such as model on viral immunology, stochastic models for the dynamics of influenza, model describing the transmission of dengue, model for human papillomavirus (HPV) infection, prostate cancer model, realization of economic growth by goal programming, modelling of grazing periodic solutions in discontinuous systems, modelling of predation system, fractional epidemiological model for computer viruses, and nonlinear ecological models. A unique addition in the proposed areas of research and education, this book is a valuable resource for graduate students, researchers and educators associated with the study of mathematical modelling of health, social and applied-sciences issues. Readers interested in applied mathematics should also find this book valuable.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 10.31MB

Autor

HEMEN DUTTA is Assistant Professor at the Department of Mathematics, Gauhati University, Guwahati, India. He completed his PhD in mathematics from Gauhati University. He has to his credit 10 books and over 100 items as research papers and chapters in books published by leading publishers. He is member of noted scientific societies and has visited several foreign institutions with regards to research collaborations, conferences and delivering talks. His main research interests are summability theory, functional equations, fixed point theory and mathematical modelling.

Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 320
• Erscheinungstermin: 29. Februar 2020
• Englisch
• ISBN-13: 9789811522864
• Artikelnr.: 58751203

Rezensionen

"This book is written for graduate students and researchers with a basic knowledge of mathematical modeling. Advanced undergraduate student working on research in the field could work through the chapters with the help of an advisor. This book is an excellent resource for anyone interested in mathematical modeling, especially in the biological and social sciences." (MAA Reviews, August 23, 2020)