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PRECONDITIONING OF ACTIVE-SET NEWTON METHODS FOR PDE-CONSTRAINED OPTIMAL CONTROL PROBLEMS

机译:PDE约束的最优控制问题的主动集牛顿法预处理

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摘要

We address the problem of preconditioning a sequence of saddle point linear systems arising in the solution of PDE-constrained optimal control problems via active-set Newton methods, with control and (regularized) state constraints. We present two new preconditioners based on a full block matrix factorization of the Schur complement of the Jacobian matrices, where the active-set blocks are merged into the constraint blocks. We discuss the robustness of the new preconditioners with respect to the parameters of the continuous and discrete problems. Numerical experiments on three-dimensional problems are presented, including comparisons with existing approaches based on preconditioned conjugate gradients in a nonstandard inner product.
机译:我们解决了通过主动集牛顿法,在具有控制和(正规化)状态约束的情况下,对PDE约束的最优控制问题的求解中出现的一系列鞍点线性系统进行预处理的问题。我们基于Jacobian矩阵的Schur补全块矩阵分解提出了两个新的预处理器,其中活动集块合并到约束块中。我们讨论了关于连续和离散问题的参数的新预处理器的鲁棒性。提出了三维问题的数值实验,包括与基于非标准内积中预处理共轭梯度的现有方法进行比较。

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