Randomized trial designs linear and nonlinear discretization schemes for optimal control in Cahn-Hilliard equations, suggesting potential improvements in approximation accuracy.
This paper is concerned with the designing, analyzing and implementing linear and nonlinear discretization scheme for the distributed optimal control problem (OCP) with the Cahn-Hilliard (CH) equation as constrained. We propose three difference schemes to approximate and investigate the solution behavior of the OCP for the CH equation. We present the convergence analysis of the proposed discretization. We verify our findings by presenting numerical experiments.
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Garai et al. (2026) studied this question.
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