Author:
Edition: 2008
Publisher: Birkhäuser
Binding: Hardcover
ISBN: 0817645551
Mathematical Modeling of Biological Systems, Volume II: Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative ... in Science, Engineering and Technology)
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. Medical books Mathematical Modeling of Biological Systems, Volume II. Medical books Mathematical Modeling of Biological Systems, Volume II: Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods. Categories: Biology->Mathematical models. Contributors: Andreas Deutsch - Author. Format: Hardcover
Download link for Mathematical Modeling of Biological Systems, Volume II: Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods
Categories: Biology->Mathematical models. Contributors: Andreas Deutsch - Author. Format: Hardcover
Categories: Biology->Mathematical models. Contributors: Andreas Deutsch - Author. Format: Hardcover
Categories: Biology->Mathematical models. Contributors: Andreas Deutsch - Author. Format: Hardcover
Categories: Biology->Mathematical models. Contributors: Andreas Deutsch - Author. Format: Hardcover
Medical Book Mathematical Modeling of Biological Systems, Volume II
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 and education. 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.