Continuous data assimilation and long-time accuracy in a C<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si17.svg"><mml:msup><mml:mrow /><mml:mn>0</mml:mn></mml:msup></mml:math> interior penalty method for the Cahn-Hilliard equation

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چکیده

We propose a numerical approximation method for the Cahn-Hilliard equations that incorporates continuous data assimilation in order to achieve long time accuracy. The uses C0 interior penalty spatial discretization of fourth equations, together with backward Euler temporal discretization. prove is stable and accurate, arbitrarily inaccurate initial conditions, provided enough measurements are incorporated into simulation. Numerical experiments illustrate effectiveness on benchmark test problem.

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ژورنال

عنوان ژورنال: Applied Mathematics and Computation

سال: 2022

ISSN: ['1873-5649', '0096-3003']

DOI: https://doi.org/10.1016/j.amc.2022.127042