A posteriori error analysis via duality theory : with by Weimin Han

By Weimin Han

This paintings offers a posteriori mistakes research for mathematical idealizations in modeling boundary worth difficulties, specifically these bobbing up in mechanical functions, and for numerical approximations of various nonlinear var- tional difficulties. An mistakes estimate is named a posteriori if the computed resolution is utilized in assessing its accuracy. A posteriori blunders estimation is critical to m- suring, controlling and minimizing blunders in modeling and numerical appr- imations. during this e-book, the most mathematical instrument for the advancements of a posteriori blunders estimates is the duality conception of convex research, documented within the famous ebook through Ekeland and Temam ([49]). The duality conception has been came across valuable in mathematical programming, mechanics, numerical research, and so on. The publication is split into six chapters. the 1st bankruptcy reports a few simple notions and effects from useful research, boundary worth difficulties, elliptic variational inequalities, and finite point approximations. the main suitable a part of the duality concept and convex research is in brief reviewed in bankruptcy 2.

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28. Assume VN, c VN, c - . 17) converges. 38 A POSTERIORI ERROR ANALYSIS VIA DUALITY THEORY in V. 29, Ui>lVN, stands for the closure of Ui>lVN, inequality also serves a s a basis for error estimates. When the finite dimensional space VN is constructed from piecewise (images of) polynomials, the Galerkin method leads to a finite element method. In other words, the finite element method (FEM) is a Galerkin method with the use of piecewise (images of) polynomials over a finite element partition of the domain 0.

U , = -gIuTl o n r c . This can be deduced by distinguishing two cases: la, / Hence, using the decomposition < g and lurl = g. 45). 41) reads: Find u E V such that Due to the assumptions on C and meas(rD) > 0, the bilinear continuous form a ( . 42). It can be easily checked that t : V -+ R is a linear continuous functional and j : V -+ is a proper lower semicontinuous convex functional. 46) has a unique solution u in V . Moreover, since the bilinear form a ( . 46) is equivalent to minimizing the energy functional 1 E(v) = -a(v,v) - t(v) j(v) 2 over the space V.

Nh, are the global basis functions that span X h . , $i is a piecewise polynomial, $i l K E X K , and $i ( a j )= S i j . If the node ai is a vertex a r of the element K , then $i 1 = $ r . If ai is not a node of K , then $ilK = 0. 30 We examine an example of linear elements. Assume R c IR2 is a poly onal domain, which is triangulated into triangles K , K E P h . e. e. the vertices of the triangulation that lie on 8 0 . From each vertex ai, construct K~ as the patch of the elements K which contain ai as a vertex.

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