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Preconditioners for state-constrained optimal control problems with Moreau-Yosida penalty function

机译:具有Moreau-Yosida罚函数的状态约束最优控制问题的预处理器

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摘要

Optimal control problems with partial differential equations as constraints play an important role in many applications. The inclusion of bound constraints for the state variable poses a significant challenge for optimization methods. Our focus here is on the incorporation of the constraints via the Moreau-Yosida regularization technique. This method has been studied recently and has proven to be advantageous compared with other approaches. In this paper, we develop robust preconditioners for the efficient solution of the Newton steps associated with the fast solution of the Moreau-Yosida regularized problem. Numerical results illustrate the efficiency of our approach.
机译:以偏微分方程为约束的最优控制问题在许多应用中起着重要作用。包含状态变量的约束约束对优化方法提出了重大挑战。我们的重点是通过Moreau-Yosida正则化技术合并约束。最近对该方法进行了研究,并已证明与其他方法相比是有利的。在本文中,我们开发了强大的预处理器,用于与Moreau-Yosida正则化问题的快速解决方案相关的牛顿步骤的有效解决方案。数值结果说明了我们方法的有效性。

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