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Discrete Stability of DPG Methods.
~
ProQuest Information and Learning Co.
Discrete Stability of DPG Methods.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Discrete Stability of DPG Methods./
作者:
Harb, Ammar.
面頁冊數:
1 online resource (112 pages)
附註:
Source: Dissertation Abstracts International, Volume: 77-12(E), Section: B.
Contained By:
Dissertation Abstracts International77-12B(E).
標題:
Applied mathematics. -
電子資源:
click for full text (PQDT)
ISBN:
9781339870427
Discrete Stability of DPG Methods.
Harb, Ammar.
Discrete Stability of DPG Methods.
- 1 online resource (112 pages)
Source: Dissertation Abstracts International, Volume: 77-12(E), Section: B.
Thesis (Ph.D.)
Includes bibliographical references
This dissertation presents a duality theorem of the Aubin-Nitsche type for discontinuous Petrov Galerkin (DPG) methods. This explains the numerically observed higher convergence rates in weaker norms. Considering the specific example of the mild-weak (or primal) DPG method for the Laplace equation, two further results are obtained. First, for triangular meshes, the DPG method continues to be solvable even when the test space degree is reduced, provided it is odd. Second, a non-conforming method of analysis is developed to explain the numerically observed convergence rates for a test space of reduced degree. Finally, for rectangular meshes, the test space is reduced, yet the convergence is recovered regardless of parity.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781339870427Subjects--Topical Terms:
1069907
Applied mathematics.
Index Terms--Genre/Form:
554714
Electronic books.
Discrete Stability of DPG Methods.
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Portland State University
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2016.
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This dissertation presents a duality theorem of the Aubin-Nitsche type for discontinuous Petrov Galerkin (DPG) methods. This explains the numerically observed higher convergence rates in weaker norms. Considering the specific example of the mild-weak (or primal) DPG method for the Laplace equation, two further results are obtained. First, for triangular meshes, the DPG method continues to be solvable even when the test space degree is reduced, provided it is odd. Second, a non-conforming method of analysis is developed to explain the numerically observed convergence rates for a test space of reduced degree. Finally, for rectangular meshes, the test space is reduced, yet the convergence is recovered regardless of parity.
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ProQuest,
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2018
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Mode of access: World Wide Web
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click for full text (PQDT)
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