Algebraic Multilevel Iteration Methods with Applications

Algebraic Multilevel Iteration Methods with Applications PDF Author:
Publisher:
ISBN:
Category : Differential equations, Partial
Languages : en
Pages : 152

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Book Description

Algebraic Multilevel Iteration Methods with Applications

Algebraic Multilevel Iteration Methods with Applications PDF Author:
Publisher:
ISBN:
Category : Differential equations, Partial
Languages : en
Pages : 152

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Book Description


Advances in Numerical Methods and Applications

Advances in Numerical Methods and Applications PDF Author: Ivan Tomov Dimov
Publisher: World Scientific
ISBN: 9814533750
Category : Numerical analysis
Languages : en
Pages : 442

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Book Description


Robust Algebraic Multilevel Methods and Algorithms

Robust Algebraic Multilevel Methods and Algorithms PDF Author: Johannes Kraus
Publisher: Walter de Gruyter
ISBN: 3110193655
Category : Algebras, Linear
Languages : en
Pages : 257

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Book Description
This 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.

Numerical Methods and Applications

Numerical Methods and Applications PDF Author: Todor Boyanov
Publisher: Springer Science & Business Media
ISBN: 3540709401
Category : Computers
Languages : en
Pages : 741

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Book Description
This book constitutes the thoroughly refereed post-proceedings of the 6th International Conference on Numerical Methods and Applications, NMA 2006, held in Borovets, Bulgaria, in August 2006. The 84 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 111 submissions. The papers are organized in topical sections on numerical methods for hyperbolic problems, robust preconditioning solution methods, Monte Carlo and quasi-Monte Carlo for diverse applications, metaheuristics for optimization problems, uncertain/control systems and reliable numerics, interpolation and quadrature processes, large-scale computations in environmental modelling, and contributed talks.

Scientific Computing and Applications

Scientific Computing and Applications PDF Author: Peter Minev
Publisher: Nova Publishers
ISBN: 9781590330272
Category : Computers
Languages : en
Pages : 312

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Book Description
Scientific Computing & Applications

Iterative Methods for Sparse Linear Systems

Iterative Methods for Sparse Linear Systems PDF Author: Yousef Saad
Publisher: SIAM
ISBN: 0898715342
Category : Mathematics
Languages : en
Pages : 537

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Book Description
Mathematics of Computing -- General.

Multigrid Methods

Multigrid Methods PDF Author: Ulrich Trottenberg
Publisher: Academic Press
ISBN: 9780127010700
Category : Mathematics
Languages : en
Pages : 652

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Book Description
Mathematics of Computing -- Numerical Analysis.

Iterative Methods for Sparse Linear Systems

Iterative Methods for Sparse Linear Systems PDF Author: Yousef Saad
Publisher: SIAM
ISBN: 9780898718003
Category : Mathematics
Languages : en
Pages : 546

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Book Description
Since the first edition of this book was published in 1996, tremendous progress has been made in the scientific and engineering disciplines regarding the use of iterative methods for linear systems. The size and complexity of the new generation of linear and nonlinear systems arising in typical applications has grown. Solving the three-dimensional models of these problems using direct solvers is no longer effective. At the same time, parallel computing has penetrated these application areas as it became less expensive and standardized. Iterative methods are easier than direct solvers to implement on parallel computers but require approaches and solution algorithms that are different from classical methods. Iterative Methods for Sparse Linear Systems, Second Edition gives an in-depth, up-to-date view of practical algorithms for solving large-scale linear systems of equations. These equations can number in the millions and are sparse in the sense that each involves only a small number of unknowns. The methods described are iterative, i.e., they provide sequences of approximations that will converge to the solution.

A Multigrid Tutorial

A Multigrid Tutorial PDF Author: William L. Briggs
Publisher: SIAM
ISBN: 9780898714623
Category : Mathematics
Languages : en
Pages : 318

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Book Description
Mathematics of Computing -- Numerical Analysis.

Iterative Methods for Linear Systems

Iterative Methods for Linear Systems PDF Author: Maxim A. Olshanskii
Publisher: SIAM
ISBN: 1611973465
Category : Mathematics
Languages : en
Pages : 257

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Book Description
Iterative Methods for Linear Systems?offers a mathematically rigorous introduction to fundamental iterative methods for systems of linear algebraic equations. The book distinguishes itself from other texts on the topic by providing a straightforward yet comprehensive analysis of the Krylov subspace methods, approaching the development and analysis of algorithms from various algorithmic and mathematical perspectives, and going beyond the standard description of iterative methods by connecting them in a natural way to the idea of preconditioning.??