Optimization and Control for Partial Differential Equations Uncertainty Quantification, Open and Closed-Loop Control, and Shape Optimization.
This book highlights new developments in the wide and growing field of partial differential equations (PDE)-constrained optimization. Optimization problems where the dynamics evolve according to a system of PDEs arise in science, engineering, and economic applications and they can take the form of i...
| Other Authors: | , , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; Boston
Walter de Gruyter GmbH,
[2022]
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| Series: | Radon series on computational and applied mathematics ;
29. |
| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
Table of Contents:
- Intro
- Preface
- Contents
- 1 Reduced basis model order reduction in optimal control of a nonsmooth semilinear elliptic PDE
- 2 Pointwise moving control for the 1-D wave equation
- 3 Limits of stabilizability for a semilinear model for gas pipeline flow
- 4 Minimal cost-time strategies for mosquito population replacement
- 5 The sterile insect technique used as a barrier control against reinfestation
- 6 Variational discretization approach applied to an optimal control problem with bounded measure controls
- 7 An optimal control problem for equations with p-structure and its finite element discretization
- 8 Unstructured space-time finite element methods for optimal sparse control of parabolic equations
- 9 An adaptive finite element approach for lifted branched transport problems
- 10 High-order homogenization of the Poisson equation in a perforated periodic domain
- 11 Least-squares approaches for the 2D Navier-Stokes system
- 12 Numerical issues and turnpike phenomenon in optimal shape design
- 13 Feedback stabilization of Cahn-Hilliard phase-field systems
- 14 Ensemble Kalman filter for neural network-based one-shot inversion
- 15 Deep learning in high dimension: ReLU neural network expression for Bayesian PDE inversion
- Index