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Preconditioning And The Conjugate Gradient Method In The Context Of Solving Pdes
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Book Synopsis Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs by : Josef Malek
Download or read book Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs written by Josef Malek and published by SIAM. This book was released on 2014-12-22 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs is about the interplay between modeling, analysis, discretization, matrix computation, and model reduction. The authors link PDE analysis, functional analysis, and calculus of variations with matrix iterative computation using Krylov subspace methods and address the challenges that arise during formulation of the mathematical model through to efficient numerical solution of the algebraic problem. The book?s central concept, preconditioning of the conjugate gradient method, is traditionally developed algebraically using the preconditioned finite-dimensional algebraic system. In this text, however, preconditioning is connected to the PDE analysis, and the infinite-dimensional formulation of the conjugate gradient method and its discretization and preconditioning are linked together. This text challenges commonly held views, addresses widespread misunderstandings, and formulates thought-provoking open questions for further research.
Book Synopsis Preconditioning Methods by : David J. Evans
Download or read book Preconditioning Methods written by David J. Evans and published by Routledge. This book was released on 1983-01-01 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Preconditioned conjugate gradient methods for nonsymmetric systems of linear equations by : Howard C. Elman
Download or read book Preconditioned conjugate gradient methods for nonsymmetric systems of linear equations written by Howard C. Elman and published by . This book was released on 1981 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we present a class of iterative descent methods for solving large, sparse, nonsymmetric systems of linear equations whose coefficient matrices have positive-definite symmetric parts. Such problems commonly arise from the discretization of non-self-adjoint elliptic partial differential equations. The methods we consider are modelled after the conjugate gradient method. They require no estimation of parameters and their rate of convergence appears to depend on the spectrum of A rather than ATA. Their convergence can also be accelerated by preconditioning techniques.
Book Synopsis Conjugate Gradient Algorithms and Finite Element Methods by : M. Křížek
Download or read book Conjugate Gradient Algorithms and Finite Element Methods written by M. Křížek and published by Springer Science & Business Media. This book was released on 2004-06-11 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The position taken in this collection of pedagogically written essays is that conjugate gradient algorithms and finite element methods complement each other extremely well. Via their combinations practitioners have been able to solve complicated, direct and inverse, multidemensional problems modeled by ordinary or partial differential equations and inequalities, not necessarily linear, optimal control and optimal design being part of these problems. The aim of this book is to present both methods in the context of complicated problems modeled by linear and nonlinear partial differential equations, to provide an in-depth discussion on their implementation aspects. The authors show that conjugate gradient methods and finite element methods apply to the solution of real-life problems. They address graduate students as well as experts in scientific computing.
Book Synopsis On Preconditioned Conjugate Gradient Methods by : O. Axelsson
Download or read book On Preconditioned Conjugate Gradient Methods written by O. Axelsson and published by . This book was released on 1978 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Preconditioned Conjugate Gradient Techniques for the Solution of Time-dependent Differential Equations by : Kees Dekker
Download or read book Preconditioned Conjugate Gradient Techniques for the Solution of Time-dependent Differential Equations written by Kees Dekker and published by . This book was released on 1992 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis M-step Preconditioned Conjugate Gradient Methods by : Loyce Adams
Download or read book M-step Preconditioned Conjugate Gradient Methods written by Loyce Adams and published by . This book was released on 1983 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Preconditioned Conjugate Gradient Methods by : Owe Axelsson
Download or read book Preconditioned Conjugate Gradient Methods written by Owe Axelsson and published by . This book was released on 2014-01-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Some Applications of Gradient Methods by : Joseph W. Fischbach
Download or read book Some Applications of Gradient Methods written by Joseph W. Fischbach and published by . This book was released on 1954 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :National Aeronautics and Space Administration (NASA) Publisher :Createspace Independent Publishing Platform ISBN 13 :9781725190566 Total Pages :34 pages Book Rating :4.1/5 (95 download)
Book Synopsis M-Step Preconditioned Conjugate Gradient Methods by : National Aeronautics and Space Administration (NASA)
Download or read book M-Step Preconditioned Conjugate Gradient Methods written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-08-13 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Preconditioned conjugate gradient methods for solving sparse symmetric and positive finite systems of linear equations are described. Necessary and sufficient conditions are given for when these preconditioners can be used and an analysis of their effectiveness is given. Efficient computer implementations of these methods are discussed and results on the CYBER 203 and the Finite Element Machine under construction at NASA Langley Research Center are included. Adams, L. Langley Research Center NASA-CR-172130, ICASE-83-9, NAS 1.26:172130 NAS1-15810; NAS1-17070; NAS1-1730; NAG1-46...
Book Synopsis Efficient Implementation of a Class of Preconditioned Conjugate Gradient Methods by : Stanley C. Eisenstat
Download or read book Efficient Implementation of a Class of Preconditioned Conjugate Gradient Methods written by Stanley C. Eisenstat and published by . This book was released on 1980 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: The preconditioned conjugate gradient (PCG) method is an effective means for solving systems of linear equations where the coefficient matrix is symmetric and positive definite. The incomplete LDL(t) factorizations are a widely used class of preconditionings, including the SSOR, Dupont-Kendall-Rachford, Generalized SSOR, ICCG(0), and MICCG(0) preconditionings. The efficient implementation of PCG with a preconditioning from this class is discussed. (Author).
Book Synopsis Optimizing Two-level Preconditioning for the Conjugate Gradient Method by : Owe Axelsson
Download or read book Optimizing Two-level Preconditioning for the Conjugate Gradient Method written by Owe Axelsson and published by . This book was released on 2001 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Preconditioned Conjugate Gradient Method for Solving a Symmetric Positive-definite System of Linear Equations by : Amir Hossein Nikravesh
Download or read book A Preconditioned Conjugate Gradient Method for Solving a Symmetric Positive-definite System of Linear Equations written by Amir Hossein Nikravesh and published by . This book was released on 1985 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Implementation of the Preconditioned Conjugate Gradient Method by : Thomas Peter Sandowich
Download or read book Implementation of the Preconditioned Conjugate Gradient Method written by Thomas Peter Sandowich and published by . This book was released on 1988 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Conjugate gradient methods for partial differential equations by : Rati Chandra
Download or read book Conjugate gradient methods for partial differential equations written by Rati Chandra and published by . This book was released on 1978 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: The method of conjugate gradients is known as an efficient iterative method for solving large sparse symmetric positive definite systems of linear equations. Such systems arise frequently in scientific computing, as in the solution of self-adjoint elliptic partial differential equations using finite difference and finite element techniques.
Book Synopsis A Generalized Conjugate Gradient Method for the Numerical Solution of Elliptic Partial Differential Equations by : Stanford University. Computer Science Department
Download or read book A Generalized Conjugate Gradient Method for the Numerical Solution of Elliptic Partial Differential Equations written by Stanford University. Computer Science Department and published by . This book was released on 1976 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Error Norm Estimation in the Conjugate Gradient Algorithm by : Gérard Meurant
Download or read book Error Norm Estimation in the Conjugate Gradient Algorithm written by Gérard Meurant and published by SIAM. This book was released on 2024-01-30 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: The conjugate gradient (CG) algorithm is almost always the iterative method of choice for solving linear systems with symmetric positive definite matrices. This book describes and analyzes techniques based on Gauss quadrature rules to cheaply compute bounds on norms of the error. The techniques can be used to derive reliable stopping criteria. How to compute estimates of the smallest and largest eigenvalues during CG iterations is also shown. The algorithms are illustrated by many numerical experiments, and they can be easily incorporated into existing CG codes. The book is intended for those in academia and industry who use the conjugate gradient algorithm, including the many branches of science and engineering in which symmetric linear systems have to be solved.