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Published by Legare Street Press 2022-10, 2022
ISBN 10: 1016234023 ISBN 13: 9781016234023
Language: English
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Published by Creative Media Partners, LLC Okt 2022, 2022
ISBN 10: 1016234023 ISBN 13: 9781016234023
Language: English
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Published by Creative Media Partners, LLC Okt 2022, 2022
ISBN 10: 1016229275 ISBN 13: 9781016229272
Language: English
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Add to basketPaperback. Condition: New. Print on Demand. This book explores iterative methods to solve saddle point linear systems, focusing on those derived from mixed finite element discretizations of elliptic Neumann problems using Raviart-Thomas elements. The book begins by establishing a theoretical framework. It then provides a proof of convergence of the iterative methods when applied to the mixed finite element case, showing that the rate of convergence is independent of the mesh parameter h. The book goes on to study algorithms involving subdomains with overlap, such as the classical Schwarz alternating method and the additive Schwarz method. It offers proofs of convergence for these iterative methods when applied to the mixed finite element case, again demonstrating that the rate of convergence is independent of h. Finally, the book examines a Dirichlet-Neumann algorithm for the mixed finite element case, providing a proof of convergence showing independence from h. The book concludes by discussing quantitative bounds for some many-level FAC algorithms. The author's insights are significant because they establish the convergence of iterative methods for solving saddle point linear systems arising from mixed finite element discretizations of elliptic Neumann problems, and they show that the rate of convergence is independent of the mesh parameter h. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.
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Add to basketCondition: Fine. 784 pp., paperback, near fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 156.
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Published by Springer Berlin Heidelberg, 2008
ISBN 10: 3540772057 ISBN 13: 9783540772057
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Domain decomposition methods are divide and conquer computational methods for the parallel solution of partial differential equations of elliptic or parabolic type. The methodology includes iterative algorithms, and techniques for non-matching grid discretizations and heterogeneous approximations. This book serves as a matrix oriented introduction to domain decomposition methodology. The topics discussed include hybrid formulations, Schwarz, substructuring and Lagrange multiplier methods for elliptic equations, computational issues, least squares-control methods, multilevel methods, non-self adjoint problems, parabolic equations, saddle point applications (Stokes, porous media and optimal control), non-matching grid discretizations, heterogeneous models, fictitious domain methods, variational inequalities, maximum norm theory, eigenvalue problems, optimization problems and the Helmholtz scattering problem. Selected convergence theory is also included.
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