Multilevel Block Factorization Preconditioners Matrix-based Analysis and Algorithms for Solving Finite Element Equations/
Vassilevski, Panayot S.
Multilevel Block Factorization Preconditioners Matrix-based Analysis and Algorithms for Solving Finite Element Equations/ [electronic resource]: by Panayot S. Vassilevski. - New York: Springer New York, 2008. - XIV, 530p. 34 illus. digital.
Part I: Motivation for preconditioning. A finite element tutorial. The main goal -- Part II: Block factorization preconditioners. Two-by-two block matrices. Classical examlpes of block factorizations. Multigrid (MG). Topics in algebraic multigrid (AMG). Domain Decomposition (DD) Methods. Preconditioning nonsymmetric and indefinite matrices. Preconditioning saddle-point matrices. Variable-step iterative methods. Preconditioning nonlinear problems. Quadratic constrained minimization problems -- Part III: Appendices. GCG Methods. Properties of finite element matrices. Further details. Computable scales of Sobolev norms. Multilevel algorithms for boundary extension mappings. H01norm characterization. MG convergence results for finite element problems -- Some auxiliary inequalities .
This monograph is the first to provide a comprehensive, self-contained and rigorous presentation of some of the most powerful preconditioning methods for solving finite element equations in a common block-matrix factorization framework. Topics covered include the classical incomplete block-factorization preconditioners and the most efficient methods such as the multigrid, algebraic multigrid, and domain decomposition. Additionally, the author discusses preconditioning of saddle-point, nonsymmetric and indefinite problems, as well as preconditioning of certain nonlinear and quadratic constrained minimization problems that typically arise in contact mechanics. The book presents analytical as well as algorithmic aspects. This text can serve as an indispensable reference for researchers, graduate students, and practitioners. It can also be used as a supplementary text for a topics course in preconditioning and/or multigrid methods at the graduate level .
9780387715643
10.1007/978-0-387-71564-3 doi
Mathematics
Matrix theory
Differential equations, Partial.
Computer science--Mathematics.
512.5
Multilevel Block Factorization Preconditioners Matrix-based Analysis and Algorithms for Solving Finite Element Equations/ [electronic resource]: by Panayot S. Vassilevski. - New York: Springer New York, 2008. - XIV, 530p. 34 illus. digital.
Part I: Motivation for preconditioning. A finite element tutorial. The main goal -- Part II: Block factorization preconditioners. Two-by-two block matrices. Classical examlpes of block factorizations. Multigrid (MG). Topics in algebraic multigrid (AMG). Domain Decomposition (DD) Methods. Preconditioning nonsymmetric and indefinite matrices. Preconditioning saddle-point matrices. Variable-step iterative methods. Preconditioning nonlinear problems. Quadratic constrained minimization problems -- Part III: Appendices. GCG Methods. Properties of finite element matrices. Further details. Computable scales of Sobolev norms. Multilevel algorithms for boundary extension mappings. H01norm characterization. MG convergence results for finite element problems -- Some auxiliary inequalities .
This monograph is the first to provide a comprehensive, self-contained and rigorous presentation of some of the most powerful preconditioning methods for solving finite element equations in a common block-matrix factorization framework. Topics covered include the classical incomplete block-factorization preconditioners and the most efficient methods such as the multigrid, algebraic multigrid, and domain decomposition. Additionally, the author discusses preconditioning of saddle-point, nonsymmetric and indefinite problems, as well as preconditioning of certain nonlinear and quadratic constrained minimization problems that typically arise in contact mechanics. The book presents analytical as well as algorithmic aspects. This text can serve as an indispensable reference for researchers, graduate students, and practitioners. It can also be used as a supplementary text for a topics course in preconditioning and/or multigrid methods at the graduate level .
9780387715643
10.1007/978-0-387-71564-3 doi
Mathematics
Matrix theory
Differential equations, Partial.
Computer science--Mathematics.
512.5