LEADER 01177nam a22003011i 4500 001 991004185779707536 005 20031013142358.0 008 031111s1981 gw |||||||||||||||||ger 020 $a3123513106 035 $ab12539041-39ule_inst 035 $aARCHE-057231$9ExL 040 $aDip.to Lingue$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a838.91 082 04$a833.912 100 1 $aDöblin, Alfred$0387322 245 10$aAlfred Döblin, Stationen seines lebens und denkens mit materialien /$cAlfred Döblin ; auswahl der texte und der materialien von Dieter Mayer 260 $aStuttgart :$bKlett,$cc1981 300 $a142 p. ;$c17 cm 440 0$aEditionen für den literaturunterricht 500 $aAntologia 650 4$aDöblin, Alfred$xStudi critici 700 1 $aMayer, Dieter 907 $a.b12539041$b02-04-14$c13-11-03 912 $a991004185779707536 945 $aLE012 838.91 DOB 11$g1$i2012000211315$lle012$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i12985442$z13-11-03 996 $aAlfred Döblin, Stationen seines lebens und denkens mit materialien$9172452 997 $aUNISALENTO 998 $ale012$b13-11-03$cm$da $e-$fger$ggw $h0$i1 LEADER 05256nam 22007815 450 001 9910254629403321 005 20220329223132.0 010 $a3-319-04036-7 024 7 $a10.1007/978-3-319-04036-3 035 $a(CKB)3710000000621784 035 $a(EBL)4455161 035 $a(SSID)ssj0001654031 035 $a(PQKBManifestationID)16433055 035 $a(PQKBTitleCode)TC0001654031 035 $a(PQKBWorkID)14982295 035 $a(PQKB)10122420 035 $a(DE-He213)978-3-319-04036-3 035 $a(MiAaPQ)EBC4455161 035 $a(PPN)192773585 035 $a(EXLCZ)993710000000621784 100 $a20160322d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDynamic systems models $enew methods of parameter and state estimation /$fby Josif A. Boguslavskiy ; edited by Mark Borodovsky 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (219 p.) 300 $aDescription based upon print version of record. 311 $a3-319-04035-9 320 $aIncludes bibliographical references. 327 $aFrom the Contents: Linear Estimators of a Random-Parameter Vector.-Basis of the Method of Polynomial Approximation -- Polynomial Approximation and Optimization of Control -- Polynomial Approximation Technique Applied to Inverse Vector Functions -- Identification of Parameters of Nonlinear Dynamical Systems: Smoothing, Filtering and Forecasting the State Vector -- Estimating Status Vectors from Sight Angles -- Estimation of Parameters of Stochastic Models -- Designing the Control of Motion to a Target Point of Phase Space -- Inverse Problems of Dynamics Algorithm for Identifying Parameters of an Aircraft. 330 $aThis monograph is an exposition of a novel method for solving inverse problems, a method of parameter estimation for time series data collected from simulations of real experiments. These time series might be generated by measuring the dynamics of aircraft in flight, by the function of a hidden Markov model used in bioinformatics or speech recognition or when analyzing the dynamics of asset pricing provided by the nonlinear models of financial mathematics. Dynamic Systems Models demonstrates the use of algorithms based on polynomial approximation which have weaker requirements than already-popular iterative methods. Specifically, they do not require a first approximation of a root vector and they allow non-differentiable elements in the vector functions being approximated. The text covers all the points necessary for the understanding and use of polynomial approximation from the mathematical fundamentals, through algorithm development to the application of the method in, for instance, aeroplane flight dynamics or biological sequence analysis. The technical material is illustrated by the use of worked examples and methods for training the algorithms are included. Dynamic Systems Models provides researchers in aerospatial engineering, bioinformatics and financial mathematics (as well as computer scientists interested in any of these fields) with a reliable and effective numerical method for nonlinear estimation and solving boundary problems when carrying out control design. It will also be of interest to academic researchers studying inverse problems and their solution. 606 $aStatistical physics 606 $aMathematical models 606 $aAerospace engineering 606 $aAstronautics 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aEconomics, Mathematical 606 $aApplications of Nonlinear Dynamics and Chaos Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/P33020 606 $aMathematical Modeling and Industrial Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M14068 606 $aAerospace Technology and Astronautics$3https://scigraph.springernature.com/ontologies/product-market-codes/T17050 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aQuantitative Finance$3https://scigraph.springernature.com/ontologies/product-market-codes/M13062 615 0$aStatistical physics. 615 0$aMathematical models. 615 0$aAerospace engineering. 615 0$aAstronautics. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aEconomics, Mathematical. 615 14$aApplications of Nonlinear Dynamics and Chaos Theory. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aAerospace Technology and Astronautics. 615 24$aSignal, Image and Speech Processing. 615 24$aQuantitative Finance. 676 $a530 700 $aBoguslavskiy$b Josif A$4aut$4http://id.loc.gov/vocabulary/relators/aut$0803803 702 $aBorodovsky$b Mark$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910254629403321 996 $aDynamic Systems Models$92513928 997 $aUNINA