Optimization and Control for Partial Differential Equations : : Uncertainty quantification, open and closed-loop control, and shape optimization / / ed. by Roland Herzog, Matthias Heinkenschloss, Dante Kalise, Georg Stadler, Emmanuel Trélat.
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...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 |
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MitwirkendeR: | |
HerausgeberIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Series: | Radon Series on Computational and Applied Mathematics ,
29 |
Online Access: | |
Physical Description: | 1 online resource (VIII, 466 p.) |
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Table of Contents:
- Frontmatter
- 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