000 02280nam a2200349 i 4500
001 013312706
003 ‫‪EG-GaU‬‬
005 20211103101425.0
008 050201r20062005ii a b 001 0 eng
010 _a 2005042543
020 _a0387250115
020 _a8181284712
040 _aDLC
_cDLC
_dDLC
_dUk
_dEG-GaU
_beng
_erda
082 0 4 _a570.11
_223
_bH.J.M.
100 1 0 _aHaefner, James W.,
_eauthor.
_91421
245 1 0 _aModeling biological systems :
_bprinciples and applications /
_cby James W. Haefner.
250 _aSecond edition.
264 1 _aNew Delhi ;
_bSpringer,
_c2006.
300 _axvi, 475 pages :
_billustrations ;
_c25 cm +
_e1 CD-ROM
336 _atext
_2rdacontent
_btxt
337 _aunmediated
_2rdamedia
_bn
338 _avolume
_2rdacarrier
_bnc
504 _aIncludes bibliographical references and index.
505 0 _aPreface.- Principles.- Models of Systems.- The Modeling Process.- Qualitative Model Formulation.- Quantitative Model Formulation: I.- Quantitative Model Formulation: II.- Numerical Techniques.- Parameter Estimation.- Model Validation.- Model Analysis.- Stochastic Models.- Applications.- Photosynthesis and Plant Growth.- Hormonal Control in Mammals.- Populations and Individuals.- Chemostats.- Diseases.- Spatial Patterns and processes.- Scaling Models.- Chaos in Biology.- Cellular Automata and Recursive Growth.- Evolutionary Computation.- Bibliography.- Index.
520 _aThis extensively revised second edition describes the essentials of creating and analyzing mathematical and computer simulation models. It offers a comprehensive understanding of the underlying principle, as well as details and equations applicable to a wide variety of biological systems and disciplines. The new edition extensively updates many of these topics, and is more rigorous and mathematical than the competitive titles, which are intended for a less sophisticated reader.
650 7 _aBiological systems
_xComputer simulation.
_2GU-sh
_91422
650 7 _aBiological systems
_xMathematical models.
_2GU-sh
_91423
650 7 _aComputer simulation.
_2GU-sh
856 4 1 _uhttps://library.gu.edu.eg/cgi-bin/koha/opac-retrieve-file.pl?id=f212f9942a77f6a231d9d960a19d1e03
_zGet the E-Book
942 _2ddc
_cBK
999 _c466
_d466