Saturday, November 26, 2011

Mathematical Modeling of Biological Systems, Volume II pdf

Mathematical Modeling of Biological Systems, Volume II



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

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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.

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