LEADER 03213nam 2200637 a 450 001 9911004773903321 005 20200520144314.0 010 $a1-316-08988-6 010 $a1-139-51539-X 010 $a1-139-51354-0 010 $a1-139-51797-X 010 $a1-283-94346-8 010 $a1-139-51890-9 010 $a1-139-51447-4 010 $a1-139-51704-X 010 $a1-139-13709-3 035 $a(CKB)2670000000309928 035 $a(EBL)944748 035 $a(SSID)ssj0000781845 035 $a(PQKBManifestationID)11441220 035 $a(PQKBTitleCode)TC0000781845 035 $a(PQKBWorkID)10733543 035 $a(PQKB)10422312 035 $a(UkCbUP)CR9781139137096 035 $a(MiAaPQ)EBC944748 035 $a(PPN)261313819 035 $a(EXLCZ)992670000000309928 100 $a20120228d2013 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPartial differential equation analysis in biomedical engineering $ecase studies with MATLAB /$fWilliam E. Schiesser 210 $aCambridge $cCambridge University Press$d2013 215 $a1 online resource (x, 422 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a1-107-02280-0 320 $aIncludes bibliographical references and index. 327 $aSpace and time -- Antibody binding kinetics -- Acid-mediated tumor growth -- Retinal O2 transport -- Hemodialyzer dynamics -- Epidermal wound healing -- Drug distribution from a polymer matrix. 330 $aAimed at graduates and researchers, and requiring only a basic knowledge of multi-variable calculus, this introduction to computer-based partial differential equation (PDE) modeling provides readers with the practical methods necessary to develop and use PDE mathematical models in biomedical engineering. Taking an applied approach, rather than using abstract mathematics, the reader is instructed through six biomedical example applications, each example characterized by step-by-step discussions of established numerical methods and implemented in reliable computer routines. Adopting this technique, the reader will understand how PDE models are formulated, implemented and tested. Supported by a set of rigorously tested general purpose PDE routines online, and with enhanced understanding through animations, this book will be ideal for anyone faced with interpreting large experimental data sets that need to be analyzed with PDE models in biomedical engineering. 606 $aNumerical analysis$xData processing 606 $aBiomedical engineering 606 $aDifferential equations, Partial$xMathematical models 615 0$aNumerical analysis$xData processing. 615 0$aBiomedical engineering. 615 0$aDifferential equations, Partial$xMathematical models. 676 $a610.28 700 $aSchiesser$b W. E$0506133 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911004773903321 996 $aPartial differential equation analysis in biomedical engineering$94391061 997 $aUNINA