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A second‐order energy stable backward differentiation formula method for the epitaxial thin film equation with slope selection
Abstract:In this article, we study a new second‐order energy stable Backward Differentiation Formula (BDF) finite difference scheme for the epitaxial thin film equation with slope selection (SS). One major challenge for higher‐order‐in‐time temporal discretizations is how to ensure an unconditional energy stability without compromising numerical efficiency or accuracy. We propose a framework for designing a second‐order numerical scheme with unconditional energy stability using the BDF method with constant coefficient stabilizing terms. Based on the unconditional energy stability property that we establish, we derive an urn:x-wiley:0749159X:media:num22271:num22271-math-0001 stability for the numerical solution and provide an optimal convergence analysis. To deal with the highly nonlinear four‐Laplacian term at each time step, we apply efficient preconditioned steepest descent and preconditioned nonlinear conjugate gradient algorithms to solve the corresponding nonlinear system. Various numerical simulations are presented to demonstrate the stability and efficiency of the proposed schemes and solvers. Comparisons with other second‐order schemes are presented.
Keywords:convergence analysis  energy stability  fast Fourier transform  finite differences  nonlinear conjugate gradient  p‐Laplacian operator  preconditioners  second‐order‐in‐time  steepest descent  thin film epitaxy
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