Balancing truncation and round-off errors in FEM: One-dimensional analysis

نویسندگان

چکیده

In finite element methods, the accuracy of solution cannot increase indefinitely since round-off error related to limited computer precision increases when number degrees freedom (DoFs) is large enough. Because a priori information highest attainable great interest, we construct an innovative method obtain given order elements. this method, truncation extrapolated it converges at asymptotic rate, and bound follows from generically valid estimate, obtained validated through extensive numerical experiments. The by minimizing sum these two types errors. We validate using one-dimensional Helmholtz equation in space. It shows that can be accurately predicted, CPU time required much smaller compared with successive grid refinement.

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ژورنال

عنوان ژورنال: Journal of Computational and Applied Mathematics

سال: 2021

ISSN: ['0377-0427', '1879-1778', '0771-050X']

DOI: https://doi.org/10.1016/j.cam.2020.113219