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A new semi-smooth Newton multigrid method for parabolic PDE optimal control problems

机译:抛物线PDE最优控制问题的一种新的半光滑牛顿多重网格方法

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A new semi-smooth Newton (SSN) multigrid algorithm is proposed for solving the discretized first order necessary optimality systems that characterize the optimal solutions of a class of 2D semi-linear parabolic PDE optimal control problems with control constraints. To achieve a second-order accurate finite difference discretization, we use a leapfrog scheme (with the second-order backward differentiation formula (BDF2)) in time and a standard 5-point stencil in space. The derived well-structured discretized Jacobian matrices greatly facilitate the development of effective smoother in our multigrid algorithm. Numerical simulations are provided to illustrate the efficiency of the proposed method, which validates the second-order accuracy in solution approximations and the optimal linear complexity in computational time.
机译:提出了一种新的半光滑牛顿(SSN)多重网格算法,用于求解离散一阶必要最优系统,该系统描述了带有控制约束的一类二维半线性抛物线PDE最优控制问题的最优解。为了实现二阶精确有限差分离散化,我们在时间上使用了跳越方案(具有二阶后向微分公式(BDF2)),并在空间中使用了标准的5点模版。导出的结构良好的离散雅可比矩阵极大地促进了我们的多重网格算法中有效平滑器的开发。数值模拟说明了该方法的有效性,该方法验证了解近似中的二阶精度和计算时间的最佳线性复杂度。

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