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040 _aDLC
_cDLC
_dDLC
041 _aeng.
042 _apcc
050 0 0 _aQH323.5
_b.A44 2004
082 0 0 _a570/.1/5118
_221
100 1 _aAllman, Elizabeth Spencer,
_d1965-
245 1 0 _aMathematical models in biology :
_ban introduction /
_cElizabeth S. Allman, John A. Rhodes.
264 1 _aNew York :
_bCambridge University Press,
_c2004.
300 _a1 online resource (xiii, 370 pages) :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
504 _aIncludes bibliographical references (p. 362-366).
505 _aDynamic modeling with different equations -- Linear models of structured populations -- Non-linear models of interactions -- Modeling molecular evolution -- Constructing phylogenic trees -- Genetics -- Infectious disease modeling -- Curve fitting and biological modeling -- Basic analysis of numerical data.
520 _aFocusing on discrete models across a variety of biological subdisciplines, this introductory textbook includes linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree construction from DNA sequence data, genetics, and infectious disease models. Assuming no knowledge of calculus, the development of mathematical topics, such as matrix algebra and basic probability, is motivated by the biological models. Computer research with MATLAB is incorporated throughout in exercises and more extensive projects to provide readers with actual experience with the mathematical models.
650 0 _aBiology
_xMathematical models.
655 0 _aElectronic books.
700 1 _aRhodes, John A.
_q(John Anthony),
_d1960-
856 _yFull text available from Cambridge University Press Click here to view
_uhttps://www.cambridge.org/core/books/mathematical-models-in-biology/FEFC4F430EA14E0DDA02BF83F9F2F6F6
906 _a7
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