000 02921cam a2200385 a 4500
001 17052899
003 OSt
005 20150908161335.0
008 111121s2012 enka b 001 0 eng
010 _a 2011046839
020 _a9780521768238
040 _aDLC
_cDLC
_dDLC
041 _aeng
042 _apcc
050 0 0 _aQH505
_b.B35 2012
082 0 0 _a571.401
_223
084 _aTEC009000
_2bisacsh
100 1 _aBeard, Daniel A.,
_d1971-
245 1 0 _aBiosimulation :
_bsimulation of living systems /
_cDaniel A. Beard.
260 _aCambridge ;
_aNew York :
_bCambridge University Press,
_c2012.
300 _axii, 307 p. :
_bill. ;
_c26 cm.
490 0 _aCambridge texts in biomedical engineering
504 _aIncludes bibliographical references (p. [299]-303) and index.
505 8 _aMachine generated contents note: 1. Introduction to simulation of biological systems; 2. Transport and reaction of solutes in biological systems; 3. Physiologically-based pharmacokinetic modeling; 4. Cardiovascular systems simulation; 5. Chemical reaction systems: thermodynamics; 6. Chemical reaction systems: kinetics; 7. Chemical reaction systems: large-scale systems simulation; 8. Cellular electrophysiology; 9. Appendices: mathematical and computational techniques.
520 _a"This practical guide to biosimulation provides the hands-on experience needed to devise, design and analyze simulations of biophysical processes for applications in biological and biomedical sciences. Through real-world case studies and worked examples, students will develop and apply basic operations through to advanced concepts, covering a wide range of biophysical topics including chemical kinetics and thermodynamics, transport phenomena, and cellular electrophysiology. Each chapter is built around case studies in a given application area, with simulations of real biological systems developed to analyze and interpret data. Open-ended project-based exercises are provided at the end of each chapter, and with all data and computer codes available online (www.cambridge.org/biosim) students can quickly and easily run, manipulate, explore and expand on the examples inside. This hands-on guide is ideal for use on senior undergraduate/graduate courses and also as a self-study guide for anyone who needs to develop computational models of biological systems"--
650 0 _aBiophysics
_xComputer simulation.
650 0 _aBiophysics
_xSimulation methods.
650 0 _aBiomedical engineering
_xComputer simulation.
650 0 _aMedical sciences
_vCase studies.
650 7 _aTECHNOLOGY & ENGINEERING / Engineering (General).
_2bisacsh
856 4 2 _3Cover image
_uhttp://assets.cambridge.org/97805217/68238/cover/9780521768238.jpg
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2ddc
_cLIBRO
955 _bre04 2011-11-21
_cre04 2011-11-21 ONIX to BioAg
_axn03 2012-07-03 1 copy rec'd., to CIP ver.
999 _c1468