Trends in Biomathematics: Modeling, Optimization and Computational Problems : Selected works from the BIOMAT Consortium Lectures, Moscow 2017. 1st ed. 2018

種類:

電子ブック

責任表示:

edited by Rubem P. Mondaini

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2018

著者名:

• Mondaini, Rubem P.
• SpringerLink (Online service)

ISBN:

9783319910925 [3319910922]    

注記:

Chapter 01- Evolution of Spatial Patterns in Host-Parasitoid Metapopulation -- Chapter 02- Dark States in Quantum Photosynthesis -- Chapter 03- Boundary Control Problems in Hemodynamics -- Chapter 04-Segmentation Techniques for Cardiovascular Modeling -- Chapter 05- Dynamics of an Infectious Disease including Ectoparasites, Rodents and Humans -- Chapter 06- P-Adic Side of the Genetic Code and the Genome -- Chapter 07- Towards a Thermodynamical Approach to the Structure of Protein Databases -- Chapter 08- Why is Evolution important in Cancer and What Mathematics should be used to treat Cancer? Focus on Drug Resistance -- Chapter 09- Optimal Resource Allocation for HIV Prevention and Control -- Chapter 10- The Inverse Magnetoencephalography Problem and its Flat Approximation -- Chapter 11- Reaction-Diffusion Equations with Density Dependent Diffusion -- Chapter 12- A Plankton-Nutrient Model with Holling Type III Response Function -- Chapter 13- Modeling the Endophytic Fungus Epicoccum Nigrum Action to fight the
This book brings together carefully selected, peer-reviewed works on mathematical biology presented at the BIOMAT International Symposium on Mathematical and Computational Biology, which was held at the Institute of Numerical Mathematics, Russian Academy of Sciences, in October 2017, in Moscow. Topics covered include, but are not limited to, the evolution of spatial patterns on metapopulations, problems related to cardiovascular diseases and modeled by boundary control techniques in hemodynamics, algebraic modeling of the genetic code, and multi-step biochemical pathways. Also, new results are presented on topics like pattern recognition of probability distribution of amino acids, somitogenesis through reaction-diffusion models, mathematical modeling of infectious diseases, and many others. Experts, scientific practitioners, graduate students and professionals working in various interdisciplinary fields will find this book a rich resource for research and applications alike.

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