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Journal ArticleDOI

Galerkin proper orthogonal decomposition methods for parabolic problems

Karl Kunisch, +1 more
- 01 Nov 2001 - 
- Vol. 90, Iss: 1, pp 117-148
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TLDR
In this article, error bounds for Galerkin proper orthogonal decomposition (POD) methods for linear and certain non-linear parabolic systems are proved and the resulting error bounds depend on the number of POD basis functions and on the time discretization.
Abstract
In this work error estimates for Galerkin proper orthogonal decomposition (POD) methods for linear and certain non-linear parabolic systems are proved. The resulting error bounds depend on the number of POD basis functions and on the time discretization. Numerical examples are included.

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Book ChapterDOI

Foreword and Introduction

Zhendong Luo, +1 more
Book ChapterDOI

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Modal methods for rehomogenization of nodal cross sections in nuclear reactor core analysis

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Efficient Model Predictive Control for Parabolic PDEs with Goal Oriented Error Estimation

TL;DR: In this article , a posteriori goal oriented error estimation is used to efficiently solve the subproblems occurring in a model predictive control (MPC) algorithm, which leads to very efficient time and space discretizations for MPC, which are illustrated by means of various numerical examples.
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Fast active thermal cloaking through PDE-constrained optimization and reduced-order modelling

TL;DR: In this paper , the authors show how to efficiently achieve thermal cloaking from a computational standpoint in several virtual scenarios by controlling a distribution of active heat sources, where the reference field is the solution of the time-dependent heat equation.
References
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Book

Infinite-Dimensional Dynamical Systems in Mechanics and Physics

Roger Temam
TL;DR: In this article, the authors give bounds on the number of degrees of freedom and the dimension of attractors of some physical systems, including inertial manifolds and slow manifolds.
Book

Turbulence, Coherent Structures, Dynamical Systems and Symmetry

TL;DR: In this article, the authors present a review of rigor properties of low-dimensional models and their applications in the field of fluid mechanics. But they do not consider the effects of random perturbation on models.
Book

Galerkin Finite Element Methods for Parabolic Problems

Vidar Thomée
TL;DR: The standard Galerkin method is based on more general approximations of the elliptic problem as discussed by the authors, and is used to solve problems in algebraic systems at the time level.
Journal ArticleDOI

Control of the Burgers equation by a reduced-order approach using proper orthogonal decomposition

TL;DR: POD is utilized to solve open-loop and closed-loop optimal control problems for the Burgers equation to comparison of POD-based algorithms with numerical results obtained from finite-element discretization of the optimality system.
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