首页> 外文期刊>Inverse problems and imaging >ON THE OPTIMAL CONTROL OF THE FREE BOUNDARY PROBLEMS FOR THE SECOND ORDER PARABOLIC EQUATIONS. II. CONVERGENCE OF THE METHOD OF FINITE DIFFERENCES
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ON THE OPTIMAL CONTROL OF THE FREE BOUNDARY PROBLEMS FOR THE SECOND ORDER PARABOLIC EQUATIONS. II. CONVERGENCE OF THE METHOD OF FINITE DIFFERENCES

机译:二阶抛物方程的自由边界问题的最优控制二。有限差分法的收敛性

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We consider a variational formulation of the inverse Stefan problem, where information on the heat flux on the fixed boundary is missing and must be found along with the temperature and free boundary. We employ optimal control framework, where boundary heat flux and free boundary are components of the control vector, and optimality criteria consist of the minimization of the sum of L-2-norm declinations from the available measurement of the temperature flux on the fixed boundary and available information on the phase transition temperature on the free boundary. This approach allows one to tackle situations when the phase transition temperature is not known explicitly, and is available through measurement with possible error. It also allows for the development of iterative numerical methods of least computational cost due to the fact that for every given control vector, the parabolic PDE is solved in a fixed region instead of full free boundary problem. In Inverse Problems and Imaging, 7, 2(2013), 307-340 we proved well-posedness in Sobolev spaces framework and convergence of time-discretized optimal control problems. In this paper we perform full discretization and prove convergence of the discrete optimal control problems to the original problem both with respect to cost functional and control.
机译:我们考虑反Stefan问题的变式,其中缺少固定边界上的热通量信息,因此必须与温度和自由边界一起找到。我们采用最优控制框架,其中边界热通量和自由边界是控制矢量的组成部分,最优标准包括根据对固定边界上的温度通量的可用测量值来最小化L-2-norm偏差的和。有关自由边界上相变温度的可用信息。这种方法可以解决相变温度未知的情况,并且可以通过测量获得可能的误差。由于对于每个给定的控制矢量,抛物线型PDE都在固定区域而不是完全自由边界问题中求解,因此它也允许开发计算成本最低的迭代数值方法。在《逆问题与成像》(Inverse Problems and Imaging),7,2(2013),307-340中,我们证明了Sobolev空间框架中的适定性和时离散最优控制问题的收敛性。在本文中,我们进行了完全离散化,并证明了离散最优控制问题在成本函数和控制方面都收敛于原始问题。

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