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A unified analysis of a weighted least squares method for first-order systems

dc.citation.epage27en_US
dc.citation.issue1en_US
dc.citation.spage9en_US
dc.citation.volume92en_US
dc.citation.woscount5
dc.contributor.authorYang, SYen_US
dc.contributor.authorLiu, JLen_US
dc.contributor.department應用數學系zh_TW
dc.contributor.departmentDepartment of Applied Mathematicsen_US
dc.date.accessioned2014-12-08T15:49:03Z
dc.date.available2014-12-08T15:49:03Z
dc.date.issued1998-06-01en_US
dc.description.abstractA unified analysis of a weighted least squares finite element method (WLSFEM) for approximating solutions of a large class of first-order differential systems is proposed. The method exhibits several advantageous features. For example, the trial and test functions are not required to satisfy the boundary conditions. Its discretization results in symmetric and positive definite algebraic systems with condition number O(h(-2) + w(2)). And a single piecewise polynomial finite element space may be used for all test and trial functions. Asymptotic convergence of the least squares approximations with suitable weights is established in a natural norm without requiring extra smoothness of the solutions. If instead, the solutions are sufficiently regular, a priori error estimates can be derived under two suitable assumptions which are related respectively to the symmetric positive systems of Friedrichs and first-order Agmon-Douglis-Nirenberg (ADN) elliptic systems. Numerous model problems fit into these two important systems. Some selective examples are examined and verified in the unified framework. (C) 1998 Published by Elsevier Science Inc. All rights reserved.en_US
dc.identifier.issn0096-3003en_US
dc.identifier.journalAPPLIED MATHEMATICS AND COMPUTATIONen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/32594
dc.identifier.wosnumberWOS:000073853900002
dc.language.isoen_USen_US
dc.subjectboundary value problemsen_US
dc.subjectfirst-order systemsen_US
dc.subjectFriedrichs' systemsen_US
dc.subjectADN elliptic systemsen_US
dc.subjectleast squares methodsen_US
dc.subjectconvergenceen_US
dc.subjecterror estimatesen_US
dc.titleA unified analysis of a weighted least squares method for first-order systemsen_US
dc.typeArticleen_US

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