LEADER 02907nam 2200589Ia 450 001 9910132669303321 005 20200520144314.0 010 $a9783642244094 010 $a3642244092 024 7 $a10.1007/978-3-642-24409-4 035 $a(CKB)3390000000021737 035 $a(SSID)ssj0000609173 035 $a(PQKBManifestationID)11392285 035 $a(PQKBTitleCode)TC0000609173 035 $a(PQKBWorkID)10609681 035 $a(PQKB)10097581 035 $a(DE-He213)978-3-642-24409-4 035 $a(MiAaPQ)EBC3070542 035 $a(PPN)159085047 035 $a(EXLCZ)993390000000021737 100 $a20110927d2012 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aApproximate deconvolution models of turbulence $eanalysis, phenomenology and numerical analysis /$fWilliam J. Layton, Leo G. Rebholz 205 $a1st ed. 2012. 210 $aBerlin ;$aHeidelberg $cSpringer$dc2012 215 $a1 online resource (VIII, 184 p. 22 illus., 11 illus. in color.) 225 1 $aLecture notes in mathematics,$x0075-8434 ;$v2042 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9783642244087 311 08$a3642244084 320 $aIncludes bibliographical references (p. 175-182) and index. 327 $a1 Introduction -- 2 Large Eddy Simulation -- 3 Approximate Deconvolution Operators and Models -- 4 Phenomenology of ADMs -- 5 Time Relaxation Truncates Scales -- 6 The Leray-Deconvolution Regularization -- 7 NS-alpha- and NS-omega-Deconvolution Regularizations. 330 $aThis volume presents a mathematical development of a recent approach to the modeling and simulation of turbulent flows based on methods for the approximate solution of inverse problems. The resulting Approximate Deconvolution Models or ADMs have some advantages over more commonly used turbulence models ? as well as some disadvantages. Our goal in this book is to provide a clear and complete mathematical development of ADMs, while pointing out the difficulties that remain. In order to do so, we present the analytical theory of ADMs, along with its connections, motivations and complements in the phenomenology of and algorithms for ADMs. 410 0$aLecture notes in mathematics (Springer-Verlag) ;$v2042. 606 $aTurbulence$xMathematical models 606 $aInverse problems (Differential equations)$xNumerical solutions 615 0$aTurbulence$xMathematical models. 615 0$aInverse problems (Differential equations)$xNumerical solutions. 676 $a532.0527015118 700 $aLayton$b W. J$g(William J.)$0477399 701 $aRebholz$b Leo G$0515857 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910132669303321 996 $aApproximate deconvolution models of turbulence$9854245 997 $aUNINA