000			02583 a2200289 4500
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020			_a9780898716122
082			_a570.15118 VRI
100			_aVries, Gerda de
245			_aCourse in mathematical biology: quantitative modeling with mathematical and computational methods
260			_aPhiladelphia: _bSociety for Industrial and Applied Mathematics (SIAM), _c2006.
300			_axii, 309p.: _bill.; pbk.: _c25 cm.
440			_aMathematical Modeling and Computation
504			_aIncludes Bibliography, and Index.
520			_aThe field of mathematical biology is growing rapidly. Questions about infectious diseases, heart attacks, cell signaling, cell movement, ecology, environmental changes, and genomics are now being analyzed using mathematical and computational methods. A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational Methods is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology. With a focus on integrating analytical and computational tools in the modeling of biological processes, the authors provide an integrated package of theoretical modeling and analysis tools, computational modeling techniques, and parameter estimation and model validation methods. Divided into three parts, the book covers basic analytical modeling techniques; introduces computational tools used in the modeling of biological problems; and provides a source of open-ended problems from epidemiology, ecology, and physiology. All chapters include realistic biological examples, and there are many exercises related to biological questions. In addition, the book includes 25 open-ended research projects that can be used by students. The book is accompanied by a Web site that contains solutions to most of the exercises and a tutorial for the implementation of the computational modeling techniques. Calculations can be done in modern computing languages such as Maple, Mathematica, and MATLAB®. https://epubs.siam.org/doi/book/10.1137/1.9780898718256
650			_aMathematical Biology
650			_aApplied Mathematics,
650			_aDiscrete Time Model
650			_aODEs
650			_aPartial Differential Equations
650			_aStochastic Models
700			_aHillen, Thomas _eCo-author
700			_aLewis, Mark _eCo-author
700			_aMuller, Johannes _eCo-author
700			_aSchonfisch, Birgitt _eCo-author
942			_cTD _2ddc
999			_c60704 _d60704