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New PinT Preconditioner for Optimal Control Problems-(I)
时间:2021年06月16日 08:33 点击数:

报告人:Jun Liu

报告地点:腾讯会议ID:881 853 644

报告时间:2021年06月19日星期六20:00-21:00

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报告摘要:

In this talk we discuss a parallel-in-time (PinT) and flexible preconditioned iterative method for the large scale all-at-once system arising from parabolic PDE-constrained optimization problems.  The construction of the new preconditioner lies in approximating the Schur complement of the all-at-once system by replacing the time stepping matrices (of Toeplitz-type) by the alpha-circulant matrices, where 0<alpha<1 is a free parameter. The new precondtioner has the advantage of parallel implementation across all the time steps, without needing additional complexity and memory storage. Similar to the classical matching Schur complement preconditiner, we show that the new preconditioner is flexible to handle quite a large rang of optimal control problems, including distributed control, local control, Neumann boundary control and boxing-type control. This is a series talk and consists of two parts.

 

Part-I: in the first talk, we introduce the basic idea of the PinT preconditioner and the its various applications. We will also introduce some theoretical results concerning the eigenvalue bounds of the preconditioned matrix. This talk is mainly concerned with the parabolic optimal control problems and in the next talk, we will introduce wave optimal control problems.

主讲人简介:

Jun Liu, 南伊利偌伊大学数学系副教授,主要研究方向为优化控制问题数值方法、区域分解及多重网格迭代算法以及时间依赖微分方程数值计算。近年来在SISC、SIMAX、Inverse Problem等同行公认的世界知名学术期刊上发表论文多篇。

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