Mathematical Modeling of Biological Systems, Volume II
Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods
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Beschreibung
This two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout both works are mathematical and computational approaches to examine central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations.
Volume I covers a number of areas, including:
* Cellular Biophysics
* Regulatory Networks
* Developmental Biology
* Biomedical Applications
* Data Analysis and Model Validation
Volume II examines a diverse range of subjects, including:
* Epidemiology
* Evolution and Ecology
* Immunology
* Neural Systems and the Brain
* Innovative Mathematical Methods and Education
Both volumes will be excellent reference texts for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.
Volume II of this two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout are mathematical and computational apporaches to examine central problems in the life sciences, ranging from the organization principles of individual cells to the dynamics of large populations. The chapters are thematically organized into the following main areas: epidemiology, evolution and ecology, immunology, neural systems and the brain, and innovative mathematical methods.
The work will be an excellent reference text for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.
Unified presentation of mathematical modeling in the biological sciences Presents state-of-the-art mathematical modeling and simulation techniques needed to examine central problems in the life sciences Covers a diverse range of subjects having real-world applications to epidemiology, evolution, ecology, immunology, and neurology For a broad audience of researchers, practitioners, and advanced students in applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics
Autor*in
Andreas Deutsch
Themen in »Mathematical Modeling of Biological Systems, Volume II«
Signal algorithm biology calculus data analysis epidemiology infections life sciences linear optimization mathematical modeling model modeling natural selection physiology programming