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Guaranteed a-posteriori error estimation and a-posteriori estimation of the pollution error
2001Abstract In Chapter 5 we discussed various estimators for the energy norm of the error in the finite element solution. We discussed the Neumann element residual estimator, the subdo-main residual estimator, the explicit residual estimator, the recovery estimators (e.g. the ZZ–SPR estimator, etc), and analyzed them in two ways:
Ivo Babuška, Theofanis Strouboulis
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1998
In the conceptual idea described in Chapter 6.1, it was assumed that the mean of the sample would deviate from that of the population from which it was collected. This therefore raises the question of how “precisely” does the mean value of the sample reflect that of the population. In other words, how large is the uncertainty of the mean value, or what
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In the conceptual idea described in Chapter 6.1, it was assumed that the mean of the sample would deviate from that of the population from which it was collected. This therefore raises the question of how “precisely” does the mean value of the sample reflect that of the population. In other words, how large is the uncertainty of the mean value, or what
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USSR Computational Mathematics and Mathematical Physics, 1976
Abstract THE CASE of a function, acting from metric space whose measure is matched in a natural way with itstopology, into separable metric space is considered, and lower bounds are constructed for the error functional in integral norms, these bounds being independent of the method of solution.
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Abstract THE CASE of a function, acting from metric space whose measure is matched in a natural way with itstopology, into separable metric space is considered, and lower bounds are constructed for the error functional in integral norms, these bounds being independent of the method of solution.
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Errors, Recovery Processes, and Error Estimates
2005O.C. Zienkiewicz, R.L. Taylor, J.Z. Zhu
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On the error estimate of the randomized double block Kaczmarz method
Applied Mathematics and Computation, 2020Zhengda Huang
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Surface meshing using a geometric error estimate
International Journal for Numerical Methods in Engineering, 2003H Borouchaki
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A discussion of a new error estimate for adaptive quadrature
BIT Numerical Mathematics, 1989Terje O Espelid, Espelid Terje O
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