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Superconsistent Discretizations

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Abstract

We say that the approximation of a linear operator is superconsistent when the exact and the discrete operators coincide on a functional space whose dimension is bigger than the number of degrees of freedom needed in the construction of the discretization. By providing several examples, we show how to build up superconsistent schemes. Many open questions will be also rised and partially discussed.

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Funaro, D. Superconsistent Discretizations. Journal of Scientific Computing 17, 67–79 (2002). https://doi.org/10.1023/A:1015136227726

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  • DOI: https://doi.org/10.1023/A:1015136227726

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