Galerkin and Runge–Kutta methods: unified formulation, a posteriori error estimates and nodal superconvergence
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s00211-011-0363-6.pdf
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4. Akrivis G., Makridakis Ch., Nochetto R.H.: Optimal order a posteriori error estimates for a class of Runge–Kutta and Galerkin methods. Numer. Math. 114, 133–160 (2009)
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