LEADER 00962nam0-2200301---450- 001 990008683560403321 005 20080702115106.0 035 $a000868356 035 $aFED01000868356 035 $a(Aleph)000868356FED01 035 $a000868356 100 $a20080702d1962----km-y0itay50------ba 101 0 $ager 102 $aDE 105 $a--------001yy 200 1 $aHochspannungs-Elektrophorese$eihre Anwendungsmoglichkeiten fur biochemische un klinisch-chemische Trennprobleme$fvon Roman Clotten, Annemarie Clotten$gmit Geleitworten von L. Heilmeyer und H. Michl. 210 $aStuttgart$cGeorg Thieme$d1962 215 $aXV, 556 p.$cill.$d27 cm 610 0 $aElettroforesi 700 1$aClotten,$bRoman$0311965 702 1$aClotten,$bAnnemarie 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008683560403321 952 $a4 B 5$b156$fDMEPE 959 $aDMEPE 996 $aHochspannungs-Elektrophorese$9717381 997 $aUNINA LEADER 04528nam 2200601 a 450 001 9910438145803321 005 20200520144314.0 010 $a1-299-33664-7 010 $a3-642-30367-6 024 7 $a10.1007/978-3-642-30367-8 035 $a(CKB)2670000000338069 035 $a(EBL)994281 035 $a(OCoLC)828794773 035 $a(SSID)ssj0000870746 035 $a(PQKBManifestationID)11549173 035 $a(PQKBTitleCode)TC0000870746 035 $a(PQKBWorkID)10819362 035 $a(PQKB)10396322 035 $a(DE-He213)978-3-642-30367-8 035 $a(MiAaPQ)EBC994281 035 $a(PPN)168316552 035 $a(EXLCZ)992670000000338069 100 $a20121130d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aModel based parameter estimation $etheory and applications /$fHans Georg Bock ... [et al.], editors 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (339 p.) 225 0$aContributions in mathematical and computational sciences ;$vv. 4 300 $aDescription based upon print version of record. 311 $a3-642-44076-2 311 $a3-642-30366-8 320 $aIncludes bibliographical references. 327 $aParameter Estimation and Optimum Experimental Design for Differential Equation Models: H.G. Bock, St. Körkel, J.P. Schlöder -- Adaptive Finite Element Methods for Parameter Identification Problems: B. Vexler -- Gauss-Newton Methods for Robust Parameter Estimation: T. Binder, E. Kostina -- An Optimal Scanning Sensor Activation Policy for Parameter Estimation of Distributed Systems: D. Ucínski -- Interaction between Experiment, Modeling and Simulation of Spatial Aspects in the JAK2/STAT5 Signaling Pathway: E. Friedmann, A. C. Pfeifer, R. Neumann, U. Klingmüller , R. Rannacher -- The Importance and Challenges of Bayesian Parameter Learning in Systems Biology: J. Mazur, L. Kaderali -- Experiment Setups and Parameter Estimation in Fluorescence Recovery After Photobleaching Experiments: A Review of Current Practice: J. Beaudouin, M. S. Mommer, H. G. Bock, R. Eils -- Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation: Le Thi Thanh An, W. Jäger -- Mathematical Models of Hematopoietic Reconstitution after Stem Cell Transplantation: A. Marciniak-Czochra, Th. Stiehl -- Combustion Chemistry and Parameter Estimation: M. Fischer, U. Riedel -- Numerical Simulation of Catalytic Reactors by Molecular-Based Models: O. Deutschmann, St. Tischer -- Model-Based Design of Experiments for Estimating Heat-Transport Parameters in Tubular Reactors: A.Badinski, D. Corbett -- Parameter Estimation for a Reconstructed SOFC Mixed-Conducting LSCF-Cathode: Th. Carraro, J. Joos -- An Application of Robust Parameter Estimation in Environmental Physics: G. Herzog, F. R. Vogel -- Parameter Estimation in Image Processing and Computer Vision: Ch. S. Garbe, B. Ommer. 330 $aThis judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts. These include fields as diverse as biology, medicine, chemistry, environmental physics, image processing and computer vision. The material chosen was presented at a multidisciplinary workshop on parameter estimation held in 2009 in Heidelberg. The contributions show how indispensable efficient methods of applied mathematics and computer-based modeling can be to enhancing the quality of interdisciplinary research.   The use of scientific computing to model, simulate, and optimize complex processes has become a standard methodology in many scientific fields, as well as in industry. Demonstrating that the use of state-of-the-art optimization techniques in a number of research areas has much potential for improvement, this book provides advanced numerical methods and the very latest results for the applications under consideration. 410 0$aContributions in mathematical and computational sciences,$x2191-303X ;$vv. 4 606 $aStochastic systems 606 $aParameter estimation 615 0$aStochastic systems. 615 0$aParameter estimation. 676 $a515.3 701 $aBock$b Hans Georg$01757961 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438145803321 996 $aModel based parameter estimation$94203358 997 $aUNINA