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9780443288142: Mathematical Methods in Medical and Biological Sciences

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Mathematical Methods in Medical and Biological Sciences presents mathematical methods for computational models arising in medical and biological sciences. Several real-life medical and biological models such as infectious and non-infectious diseases can be modelled mathematically to accomplish profound research on them in virtual environments when the cost of laboratory expenses is relatively high. This book focuses on mathematical techniques that provide global solutions for models arising in medical and biological sciences by considering their long-term benefits. The mathematical treatment of these models is very helpful in understanding these models and their real-world applications. The methods and modelling techniques presented by the authors are useful for mathematicians, engineers, doctors, scientists, and researchers working on the mathematical treatment of models in a wide range of medical and biological sciences. Mathematical Methods in Medical and Biological Sciences presents leading-edge developments and insights for a range of applications, including epidemiological modeling of pandemic dynamics, viral infection development, cancer development, blood oxygen dynamics, HIV infection spread, reaction-diffusion models, polio infection spread, and chaos modeling with fractional order derivatives. The book provides readers with both the modeling methods and their applications to reinforce learning.

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Dr. Harendra Singh is an Assistant Professor in the Department of Mathematics at Post-Graduate College Ghazipur, Uttar Pradesh, India. He teaches post-graduate mathematics courses including Real and Complex Analysis, Functional Analysis, Abstract Algebra, and Measure Theory. His research areas of interest include Mathematical Modelling, Fractional Differential Equations, Integral Equations, Calculus of Variations, and Analytical and Numerical Methods. He is the co-Editor with Dr. Srivastava of Special Functions in Fractional Calculus and Engineering, Taylor and Francis/CRC Press.



Dr. Hari M. Srivastava is Professor Emeritus in the Department of Mathematics and Statistics at the University of Victoria, British Columbia, Canada. He earned his Ph.D. degree in 1965 while he was a full-time member of the teaching faculty at the Jai Narain Vyas University of Jodhpur, India. Dr. Srivastava has held (and continues to hold) numerous Visiting, Honorary and Chair Professorships at many universities and research institutes in different parts of the world. Having received several D.Sc. (honoris causa) degrees as well as honorary memberships and fellowships of many scientific academies and scientific societies around the world, he is also actively associated editorially with numerous international scientific research journals as an Honorary or Advisory Editor or as an Editorial Board Member. He has also edited many Special Issues of scientific research journals as the Lead or Joint Guest Editor, including the MDPI journal Axioms, Mathematics, and Symmetry, the Elsevier journals, Journal of Computational and Applied Mathematics, Applied Mathematics and Computation, Chaos, Solitons & Fractals, Alexandria Engineering Journal, and Journal of King Saud UniversityScience, the Wiley journal, Mathematical Methods in the Applied Sciences, the Springer journals, Advances in Difference Equations, Journal of Inequalities and Applications, Fixed Point Theory and Applications, and Boundary Value Problems, the American Institute of Physics journal, Chaos: An Interdisciplinary Journal of Nonlinear Science, and the American Institute of Mathematical Sciences journal, AIMS Mathematics, among many others. Dr. Srivastava has been a Clarivate Analytics (Web of Science) Highly-Cited Researcher since 2015. Dr. Srivastava’s research interests include several areas of Pure and Applied Mathematical Sciences, such as Real and Complex Analysis, Fractional Calculus and Its Applications, Integral Equations and Transforms, Higher Transcendental Functions and Their Applications, q-Series and q-Polynomials, Analytic Number Theory, Analytic and Geometric Inequalities, Probability and Statistics, and Inventory Modeling and Optimization. He has published 36 books, monographs, and edited volumes, 36 book (and encyclopedia) chapters, 48 papers in international conference proceedings, and more than 1450 peer-reviewed international scientific research journal articles, as well as Forewords and Prefaces to many books and journals.

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Mathematical Methods in Medical and Biological Sciences presents mathematical methods for computational models arising in medical and biological sciences. Several real-life medical and biological models such as infectious and non-infectious diseases can be modelled mathematically to accomplish profound research on them in virtual environments when the cost of laboratory expenses is relatively high. This book focuses on mathematical techniques that provide global solutions for models arising in medical and biological sciences by considering their long-term benefits. The mathematical treatment of these models is very helpful in understanding these models and their real-world applications. The methods and modelling techniques presented by the authors are useful for mathematicians, engineers, doctors, scientists, and researchers working on the mathematical treatment of models in a wide range of medical and biological sciences. Mathematical Methods in Medical and Biological Sciences presents leading-edge developments and insights for a range of applications, including epidemiological modeling of pandemic dynamics, viral infection development, cancer development, blood oxygen dynamics, HIV infection spread, reaction-diffusion models, polio infection spread, and chaos modeling with fractional order derivatives. The book provides readers with both the modeling methods and their applications to reinforce learning.

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Paperback. Condizione: new. Paperback. Mathematical Methods in Medical and Biological Sciences presents mathematical methods for computational models arising in the medical and biological sciences. The book presents several real-life medical and biological models, such as infectious and non-infectious diseases that can be modeled mathematically to accomplish profound research in virtual environments when the cost of laboratory expenses is relatively high. It focuses on mathematical techniques that provide global solutions for models arising in medical and biological sciences by considering their long-term benefits.In addition, the book provides leading-edge developments and insights for a range of applications, including epidemiological modeling of pandemic dynamics, viral infection developments, cancer developments, blood oxygen dynamics, HIV infection spread, reaction-diffusion models, polio infection spread, and chaos modeling with fractional order derivatives. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780443288142

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Paperback. Condizione: new. Paperback. Mathematical Methods in Medical and Biological Sciences presents mathematical methods for computational models arising in the medical and biological sciences. The book presents several real-life medical and biological models, such as infectious and non-infectious diseases that can be modeled mathematically to accomplish profound research in virtual environments when the cost of laboratory expenses is relatively high. It focuses on mathematical techniques that provide global solutions for models arising in medical and biological sciences by considering their long-term benefits.In addition, the book provides leading-edge developments and insights for a range of applications, including epidemiological modeling of pandemic dynamics, viral infection developments, cancer developments, blood oxygen dynamics, HIV infection spread, reaction-diffusion models, polio infection spread, and chaos modeling with fractional order derivatives. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780443288142

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