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首页> 外文期刊>Journal of Scientific Computing >Investigation of Commutative Properties of Discontinuous Galerkin Methods in PDE Constrained Optimal Control Problems
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Investigation of Commutative Properties of Discontinuous Galerkin Methods in PDE Constrained Optimal Control Problems

机译:PDE约束最优控制问题中间断Galerkin方法交换性质的研究

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摘要

The aim of this paper is to investigate commutative properties of a large family of discontinuous Galerkin (DG) methods applied to optimal control problems governed by the advection-diffusion equations. To compute numerical solutions of PDE constrained optimal control problems there are two main approaches: optimize-then-discretize and discretize-then-optimize. These two approaches do not always coincide and may lead to substantially different numerical solutions. The methods for which these two approaches do coincide we call commutative. In the theory of single equations, there is a related notion of adjoint or dual consistency. In this paper we classify DG methods both in primary and mixed forms and derive necessary conditions that can be used to develop new commutative methods. We will also derive error estimates in the energy and L~2 norms. Numerical examples reveal that in the context of PDE constrained optimal control problems a special care needs to be taken to compute the solutions. For example, choosing non-commutative methods and discretize-then-optimize approach may result in a badly behaved numerical solution.
机译:本文的目的是研究适用于由对流扩散方程控制的最优控制问题的一大类不连续Galerkin(DG)方法的交换性质。为了计算PDE约束的最优控制问题的数值解,有两种主要方法:先优化然后离散化,然后离散化然后优化。这两种方法并不总是一致的,并且可能导致数值解决方案大不相同。这两种方法的确相吻合的方法称为交换性。在单方程理论中,存在伴随或对偶一致性的相关概念。在本文中,我们将DG方法分为主要形式和混合形式,并得出了可用于开发新的可交换方法的必要条件。我们还将导出能量和L〜2范数中的误差估计。数值算例表明,在PDE约束的最优控制问题中,需要特别注意计算解。例如,选择非交换方法并离散化然后优化方法可能会导致行为不佳的数值解。

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