LEADER 04064nam 22006975 450 001 9910254284203321 005 20200629145517.0 010 $a3-662-54961-1 024 7 $a10.1007/978-3-662-54961-2 035 $a(CKB)3710000001393639 035 $a(DE-He213)978-3-662-54961-2 035 $a(MiAaPQ)EBC4871096 035 $a(PPN)202987973 035 $a(EXLCZ)993710000001393639 100 $a20170602d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aElliptic Differential Equations $eTheory and Numerical Treatment /$fby Wolfgang Hackbusch 205 $a2nd ed. 2017. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2017. 215 $a1 online resource (XIV, 455 p. 55 illus., 15 illus. in color.) 225 1 $aSpringer Series in Computational Mathematics,$x0179-3632 ;$v18 311 $a3-662-54960-3 320 $aIncludes bibliographical references and index. 327 $a1 Partial Differential Equations and Their Classification Into Types -- 2 The Potential Equation -- 3 The Poisson Equation -- 4 Difference Methods for the Poisson Equation -- 5 General Boundary Value Problems -- 6 Tools from Functional Analysis -- 7 Variational Formulation -- 8 The Method of Finite Elements -- 9 Regularity -- 10 Special Differential Equations -- 11 Eigenvalue Problems -- 12 Stokes Equations. 330 $aThis book simultaneously presents the theory and the numerical treatment of elliptic boundary value problems, since an understanding of the theory is necessary for the numerical analysis of the discretisation. It first discusses the Laplace equation and its finite difference discretisation before addressing the general linear differential equation of second order. The variational formulation together with the necessary background from functional analysis provides the basis for the Galerkin and finite-element methods, which are explored in detail. A more advanced chapter leads the reader to the theory of regularity. Individual chapters are devoted to singularly perturbed as well as to elliptic eigenvalue problems. The book also presents the Stokes problem and its discretisation as an example of a saddle-point problem taking into account its relevance to applications in fluid dynamics. 410 0$aSpringer Series in Computational Mathematics,$x0179-3632 ;$v18 606 $aMathematical analysis 606 $aAnalysis (Mathematics) 606 $aNumerical analysis 606 $aSystem theory 606 $aCalculus of variations 606 $aMathematical physics 606 $aAnalysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M12007 606 $aNumerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M14050 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 606 $aCalculus of Variations and Optimal Control; Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26016 606 $aTheoretical, Mathematical and Computational Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19005 615 0$aMathematical analysis. 615 0$aAnalysis (Mathematics). 615 0$aNumerical analysis. 615 0$aSystem theory. 615 0$aCalculus of variations. 615 0$aMathematical physics. 615 14$aAnalysis. 615 24$aNumerical Analysis. 615 24$aSystems Theory, Control. 615 24$aCalculus of Variations and Optimal Control; Optimization. 615 24$aTheoretical, Mathematical and Computational Physics. 676 $a515.353 700 $aHackbusch$b Wolfgang$4aut$4http://id.loc.gov/vocabulary/relators/aut$051792 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254284203321 996 $aElliptic differential equations$9382567 997 $aUNINA