03435nam 2200481 a 45000010014000000030005000140050017000190060019000360070015000550080041000700100017001110200035001280200022001630200025001850240015002100350025002250400030002500500025002800820019003052450161003242600140004853000059006254900042006845040066007265050379007925060072011715201106012435300037023495380036023865380047024225880054024696500034025236530025025576530024025826530027026066530025026336530027026587000021026857100052027067760065027588300043028238560087028669780898718256SIAM20101101124431.0m eo d cr bn |||m|||a101021s2006 paua fob 001 0 eng d z 2006044305 a9780898718256 (electronic bk.) z0898716128 (pbk.) z9780898716122 (pbk.)7 aMM122siam a(CaBNVSL)gtp00544363 aCaBNVSLcCaBNVSLdCaBNVSL 4aQH323.5b.C69 2006eb04a570.1/511822202aA course in mathematical biologyh[electronic resource] :bquantitative modeling with mathematical and computational methods /cGerda de Vries ... [et al.]. aPhiladelphia, Pa. :bSociety for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104),c2006. a1 electronic text (xii, 309 p.) :bill., digital file.1 aMathematical modeling and computation aIncludes bibliographical references (p. 287-296) and indexes.0 apt. 1. Theoretical modeling tools -- 1. Introduction -- 2. Discrete-time models -- 3. Ordinary differential equations -- 4. Partial differential equations -- 5. Stochastic models -- 6. Cellular automata and related models -- 7. Estimating parameters -- pt. 2. Self-guided computer tutorial. 8. Maple course -- pt. 3. Projects. 9. Project descriptions -- 10. Solved projects.1 aRestricted to subscribers or individual electronic text purchasers.3 aThis 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. Included is an integrated package of theoretical modeling and analysis tools, computational modeling techniques, and parameter estimation and model validation methods, with a focus on integrating analytical and computational tools in the modeling of biological processes. Divided into three parts, it covers basic analytical modeling techniques; introduces computational tools used in the modeling of biological problems; and includes various problems from epidemiology, ecology, and physiology. All chapters include realistic biological examples, including many exercises related to biological questions. In addition, 25 open-ended research projects are provided, suitable for students. An accompanying Web site contains solutions 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. aAlso available in print version. aMode of access: World Wide Web. aSystem requirements: Adobe Acrobat Reader. aDescription based on title page of print version. 0aBiologyxMathematical models. aMathematical biology aApplied mathematics aDifferential equations aParameter estimation aComputational modeling1 aVries, Gerda de.2 aSociety for Industrial and Applied Mathematics.08iPrint version:z0898716128z9780898716122w(DLC) 2006044305 0aMathematical modeling and computation.403SIAMuhttp://epubs.siam.org/ebooks/siam/mathematical_modeling_and_computation/mm12