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A Proper Generalized Decomposition for the solution of elliptic problems in abstract form by using a functional Eckart-Young approach

机译:使用功能性Eckart-Young方法的抽象形式的椭圆问题的适当广义分解

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摘要

The Proper Generalized Decomposition (PGD) is a methodology initially proposed for the solution of partial differential equations (PDE) defined in tensor product spaces. It consists in constructing a separated representation of the solution of a given PDE. In this paper we consider the mathematical analysis of this framework for a larger class of problems in an abstract setting. In particular, we introduce a generalization of Eckart and Young theorem which allows to prove the convergence of the so-called progressive PGD for a large class of linear problems defined in tensor product Hilbert spaces.
机译:适当的广义分解(PGD)是最初为张量积空间中定义的偏微分方程(PDE)的求解提出的一种方法。它包括构造给定PDE解决方案的单独表示。在本文中,我们考虑在抽象环境中针对较大类别的问题对该框架进行数学分析。特别是,我们引入了Eckart和Young定理的推广,可以证明对于张量积Hilbert空间中定义的一大类线性问题,所谓的渐进PGD的收敛性。

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