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024 7 $a10.1515/9783110214833
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035   $a(EBL)476032
035   $a(OCoLC)497205654
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035   $a(DE-B1597)9783110214833
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100   $a20080222d2009      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt
182   $cc
183   $acr
200 10$aRobust algebraic multilevel methods and algorithms$b[electronic resource] /$fJohannes Kraus, Svetozar Margenov
210   $aBerlin ;$aNew York $cWalter De Gruyter$dc2009
215   $a1 online resource (256 p.)
225 1 $aRadon series on computational and applied mathematics ;$v5
300   $aDescription based upon print version of record.
311   $a3-11-019365-5 
320   $aIncludes bibliographical references (p. [237]-244) and index.
327   $t Frontmatter -- $tContents -- $t1. Introduction -- $t2. Algebraic multilevel iteration methods -- $t3. Robust AMLI algorithms: Conforming linear finite elements -- $t4. Robust AMLI algorithms: Nonconforming linear finite elements -- $t5. Schur complement based multilevel preconditioners -- $t6. Algebraic multigrid (AMG) -- $t7. Preconditioning of Rannacher-Turek nonconforming FE systems -- $t8. AMLI algorithms for discontinuous Galerkin FE problems -- $t9. AMLI methods for coupled problems -- $t10. Practical issues -- $t Backmatter
330   $aThis book deals with algorithms for the solution of linear systems of algebraic equations with large-scale sparse matrices, with a focus on problems that are obtained after discretization of partial differential equations using finite element methods. The authors provide a systematic presentation of the recent advances in robust algebraic multilevel methods and algorithms, e.g., the preconditioned conjugate gradient method, algebraic multilevel iteration (AMLI) preconditioners, the classical algebraic multigrid (AMG) method and its recent modifications, namely AMG using element interpolation (AMGe) and AMG based on smoothed aggregation. The first six chapters can serve as a short introductory course on the theory of AMLI methods and algorithms. The next part of the monograph is devoted to more advanced topics, including the description of new generation AMG methods, AMLI methods for discontinuous Galerkin systems, looking-free algorithms for coupled problems etc., ending with important practical issues of implementation and challenging applications.  This second part is addressed to some more experienced students and practitioners and can be used to complete a more advanced course on robust AMLI and AMG methods and their efficient application. This book is intended for mathematicians, engineers, natural scientists etc. 
410  0$aRadon series on computational and applied mathematics ;$v5.
606   $aAlgebras, Linear$xData processing
606   $aMathematical analysis
610   $aLinear Algebra.
610   $aMultigrid Method.
610   $aPartial Differential Equation.
615  0$aAlgebras, Linear$xData processing.
615  0$aMathematical analysis.
676   $a515.35
686   $aSK 540$2rvk
700   $aKraus$b Johannes$01544395
701   $aMargenov$b Svetozar$01544396
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910778468003321
996   $aRobust algebraic multilevel methods and algorithms$93798596
997   $aUNINA