具有不完全接触匹配条件的椭圆型对流扩散方程系数最优控制问题的逼近

Fedor F. Lubyshev, A. Manapova
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引用次数: 2

摘要

考虑具有不完全接触匹配条件的非自伴随椭圆方程描述的对流扩散问题的非线性优化问题。这些是系数跳跃的问题和界面上的解;溶液的跳变与通量的法向分量成正比。变量系数乘以方程中的最高和最低导数,系数乘以状态方程中的非线性项作为控制。构造并研究了优化问题的有限差分逼近。对于状态方程的近似,我们提出了一种新的“修正差分格式”,该格式采用不同于传统差分格式理论的方法来计算差分算子主部的变网格系数。研究了问题的正确性。得到了差分近似相对于状态的精度估计。估计了关于代价泛函的近似收敛率。证明了控制的弱收敛性。非自伴随算子的存在给构造和研究描述被控过程不连续状态的微分方程的近似,特别是在证明差分近似的适定性以及研究原始最优控制问题与近似网格问题之间的关系带来一定的困难。近似是正则化的。所获得的结果将大量用于解决与开发有效方法有关的问题,这些方法用于构建有限维网格最优控制问题的数值解及其计算机实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An approximation of problems of optimal control on the coefficients of elliptic convection-diffusion equations with an imperfect contact matching condition
We consider nonlinear optimization problems for processes described by non-self-adjoint elliptic equations of convection-diffusion problems with an imperfect contact matching conditions. These are the problems with a jump of the coefficients and of the solution on the interface; the jump of the solution is proportional to the normal component of the flux. Variable coefficients multiplying the highest and the lowest derivatives in the equation and the coefficients by nonlinear terms in the equations of state are used as controls. Finite difference approximations of optimization problems are constructed and investigated. For the approximation of state equations we propose a new ``modified difference scheme'' in which the variable grid coefficients in the principal part of the difference operator are computed using method other than traditionally applied in the theory of difference schemes. The problem's correctness is investigated. The accuracy estimation of difference approximations with respect to the state are obtained. Convergence rate of approximations with respect to cost functional is estimated, too. Weak convergence with respect to control is proved. The presence of a non-self-adjoint operator causes certain difficulties in constructing and studying approximations of differential equations describing discontinuous states of controlled processes, in particular, in proving the difference approximations well-posedness, and in studying the relationship between the original optimal control problem and the approximate mesh problem. The approximations are regularized. The obtained results will be heavily used later in solving problems associated with the development of effective methods for the numerical solution to the constructed finite-dimensional mesh optimal control problems and their computer implementation.
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