LEADER 03881nam 22007095 450 001 9910144634203321 005 20200706074703.0 010 $a3-540-36250-9 024 7 $a10.1007/b80164 035 $a(CKB)1000000000229446 035 $a(SSID)ssj0000326838 035 $a(PQKBManifestationID)12089247 035 $a(PQKBTitleCode)TC0000326838 035 $a(PQKBWorkID)10297705 035 $a(PQKB)11092231 035 $a(DE-He213)978-3-540-36250-0 035 $a(MiAaPQ)EBC6285937 035 $a(MiAaPQ)EBC5592737 035 $a(Au-PeEL)EBL5592737 035 $a(OCoLC)51179423 035 $a(PPN)155173391 035 $a(EXLCZ)991000000000229446 100 $a20121227d2003 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aStability Estimates for Hybrid Coupled Domain Decomposition Methods /$fby Olaf Steinbach 205 $a1st ed. 2003. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2003. 215 $a1 online resource (VI, 126 p.) 225 1 $aLecture Notes in Mathematics,$x0075-8434 ;$v1809 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-00277-4 320 $aIncludes bibliographical references (pages [117]-120). 327 $aPreliminaries -- Sobolev Spaces: Saddle Point Problems; Finite Element Spaces; Projection Operators; Quasi Interpolation Operators -- Stability Results: Piecewise Linear Elements; Dual Finite Element Spaces; Higher Order Finite Element Spaces; Biorthogonal Basis Functions -- The Dirichlet-Neumann Map for Elliptic Problems: The Steklov-Poincare Operator; The Newton Potential; Approximation by Finite Element Methods; Approximation by Boundary Element Methods -- Mixed Discretization Schemes: Variational Methods with Approximate Steklov-Poincare Operators; Lagrange Multiplier Methods -- Hybrid Coupled Domain Decomposition Methods: Dirichlet Domain Decomposition Methods; A Two-Level Method; Three-Field Methods; Neumann Domain Decomposition Methods;Numerical Results; Concluding Remarks -- References. 330 $a Domain decomposition methods are a well established tool for an efficient numerical solution of partial differential equations, in particular for the coupling of different model equations and of different discretization methods. Based on the approximate solution of local boundary value problems either by finite or boundary element methods, the global problem is reduced to an operator equation on the skeleton of the domain decomposition. Different variational formulations then lead to hybrid domain decomposition methods. . 410 0$aLecture Notes in Mathematics,$x0075-8434 ;$v1809 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aNumerical analysis 606 $aDifferential equations, Partial 606 $aApplications of Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M13003 606 $aNumerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M14050 606 $aPartial Differential Equations$3https://scigraph.springernature.com/ontologies/product-market-codes/M12155 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 0$aNumerical analysis. 615 0$aDifferential equations, Partial. 615 14$aApplications of Mathematics. 615 24$aNumerical Analysis. 615 24$aPartial Differential Equations. 676 $a515.35 700 $aSteinbach$b Olaf$4aut$4http://id.loc.gov/vocabulary/relators/aut$0451445 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910144634203321 996 $aStability estimates for hybrid coupled domain decomposition methods$9145754 997 $aUNINA