In numerical analysis, a superconvergent or supraconvergent method is one which converges faster than generally expected (superconvergence or supraconvergence). For example, in the Finite Element Method approximation to Poisson's equation in two dimensions, using piecewise linear elements, the average error in the gradient is first order. However under certain conditions it's possible to recover the gradient at certain locations within each element to second order.
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02.01. The Galerkin, or finite dimensional weak form
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References
- Barbeiro, S.; Ferreira, J. A.; Grigorieff, R. D. (2005), "Supraconvergence of a finite difference scheme for solutions in Hs(0, L)", IMA J Numer Anal, 25 (4): 797–811, CiteSeerX 10.1.1.108.7189, doi:10.1093/imanum/dri018
- Ferreira, J. A.; Grigorieff, R. D. (1998), "On the supraconvergence of elliptic finite difference methods" (PDF), Applied Numerical Mathematics, 28: 275–292, doi:10.1016/S0168-9274(98)00048-8, hdl:10316/4663
- Levine, N. D. (1985), "Superconvergent Recovery of the Gradient from Piecewise Linear Finite-element Approximations" (PDF), IMA J Numer Anal, 5 (4): 407–427, doi:10.1093/imanum/5.4.407
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This page was last edited on 5 May 2021, at 21:45