Learning physics-based models from data: perspectives from inverse problems and model reduction
This article addresses the inference of physics models from data, from the perspectives of
inverse problems and model reduction. These fields develop formulations that integrate data …
inverse problems and model reduction. These fields develop formulations that integrate data …
Space-time finite element discretization of parabolic optimal control problems with energy regularization
In this paper, we analyze space-time finite element methods for the numerical solution of
distributed parabolic optimal control problems with energy regularization in the Bochner …
distributed parabolic optimal control problems with energy regularization in the Bochner …
Preconditioners for state‐constrained optimal control problems with Moreau–Yosida penalty function
JW Pearson, M Stoll, AJ Wathen - Numerical Linear Algebra …, 2014 - Wiley Online Library
Optimal control problems with partial differential equations as constraints play an important
role in many applications. The inclusion of bound constraints for the state variable poses a …
role in many applications. The inclusion of bound constraints for the state variable poses a …
Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization
JW Pearson, J Gondzio - Numerische Mathematik, 2017 - Springer
Interior point methods provide an attractive class of approaches for solving linear, quadratic
and nonlinear programming problems, due to their excellent efficiency and wide …
and nonlinear programming problems, due to their excellent efficiency and wide …
Robust superlinear Krylov convergence for complex noncoercive compact-equivalent operator preconditioners
Preconditioning for Krylov methods often relies on operator theory when mesh independent
estimates are looked for. The goal of this paper is to contribute to the long development of …
estimates are looked for. The goal of this paper is to contribute to the long development of …
[HTML][HTML] Preconditioning PDE-constrained optimization with L1-sparsity and control constraints
PDE-constrained optimization aims at finding optimal setups for partial differential equations
so that relevant quantities are minimized. Including nonsmooth L 1 sparsity promoting terms …
so that relevant quantities are minimized. Including nonsmooth L 1 sparsity promoting terms …
Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems
We consider a general class of nonsmooth optimal control problems with partial differential
equation (PDE) constraints, which are very challenging due to its nonsmooth objective …
equation (PDE) constraints, which are very challenging due to its nonsmooth objective …
One-shot solution of a time-dependent time-periodic PDE-constrained optimization problem
M Stoll - IMA Journal of Numerical Analysis, 2014 - academic.oup.com
In this paper we describe the efficient solution of a partial differential equation (PDE)-
constrained optimization problem subject to the time-periodic heat equation. We propose a …
constrained optimization problem subject to the time-periodic heat equation. We propose a …
A fast and stable preconditioned iterative method for optimal control problem of wave equations
In this paper, we develop a new central finite difference scheme in terms of both time and
space for solving the first-order necessary optimality systems that characterize the optimal …
space for solving the first-order necessary optimality systems that characterize the optimal …
[PDF][PDF] Application of the alternating direction method of multipliers to control constrained parabolic optimal control problems and beyond
Control constrained parabolic optimal control problems are generally challenging, from
either theoretical analysis or algorithmic design perspectives. Conceptually, the well-known …
either theoretical analysis or algorithmic design perspectives. Conceptually, the well-known …