Dual-primal FETI methods for linear elasticity
Dual‐primal FETI methods are nonoverlapping domain decomposition methods where some of the continuity constraints across subdomain boundaries are required to hold throughout the iterations, as in primal iterative substructuring methods, while most of the constraints are enforced by Lagrange multipli...
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Published in | Communications on pure and applied mathematics Vol. 59; no. 11; pp. 1523 - 1572 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.11.2006
Wiley John Wiley and Sons, Limited |
Subjects | |
Online Access | Get full text |
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Summary: | Dual‐primal FETI methods are nonoverlapping domain decomposition methods where some of the continuity constraints across subdomain boundaries are required to hold throughout the iterations, as in primal iterative substructuring methods, while most of the constraints are enforced by Lagrange multipliers, as in one‐level FETI methods. These methods are used to solve the large algebraic systems of equations that arise in elliptic finite element problems. The purpose of this article is to develop strategies for selecting these constraints, which are enforced throughout the iterations, such that good convergence bounds are obtained that are independent of even large changes in the stiffness of the subdomains across the interface between them. The algorithms are described in terms of a change of basis that has proven to be quite robust in practice. A theoretical analysis is provided for the case of linear elasticity, and condition number bounds are established that are uniform with respect to arbitrarily large jumps in the Young's modulus of the material and otherwise depend only polylogarithmically on the number of unknowns of a single subdomain. The strategies have already proven quite successful in large‐scale implementations of these iterative methods. © 2006 Wiley Periodicals, Inc. |
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Bibliography: | U.S. Department of Energy - No. DE-FG02-06ER25718; No. DE-FC02-01ER25482 ark:/67375/WNG-S2B221JR-G National Science Foundation Grant - No. DMS-0513251 istex:F360336822217D584E04A91A0F36C5A1221F8D23 ArticleID:CPA20156 |
ISSN: | 0010-3640 1097-0312 |
DOI: | 10.1002/cpa.20156 |