<p>Many mathematical models of physical, biological and social systems involve partial differential equations (PDEs). The desire to understand and influence these systems naturally leads to considering problems of control and optimization. This book presents important topics in the areas of control
Control and Optimization with PDE Constraints
โ Scribed by Kristian Bredies, Christian Clason, Karl Kunisch, Gregory Winckel (eds.)
- Publisher
- Birkhรคuser
- Year
- 2013
- Tongue
- English
- Leaves
- 221
- Series
- International Series of Numerical Mathematics 164
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Many mathematical models of physical, biological and social systems involve partial differential equations (PDEs). The desire to understand and influence these systems naturally leads to considering problems of control and optimization. This book presents important topics in the areas of control of PDEs and of PDE-constrained optimization, covering the full spectrum from analysis to numerical realization and applications. Leading scientists address current topics such as non-smooth optimization, HamiltonโJacobiโBellmann equations, issues in optimization and control of stochastic partial differential equations, reduced-order models and domain decomposition, discretization error estimates for optimal control problems, and control of quantum-dynamical systems. These contributions originate from the โInternational Workshop on Control and Optimization of PDEsโ in Mariatrost in October 2011. This book is an excellent resource for students and researchers in control or optimization of differential equations. Readers interested in theory or in numerical algorithms will find this book equally useful
โฆ Table of Contents
Front Matter....Pages I-X
An Adaptive POD Approximation Method for the Control of Advection-Diffusion Equations....Pages 1-17
Generalized Sensitivity Analysis for Delay Differential Equations....Pages 19-44
Regularity and Unique Existence of Solution to Linear Diffusion Equation with Multiple Time-Fractional Derivatives....Pages 45-55
Nonsmooth Optimization Method and Sparsity....Pages 57-77
Parareal in Time Intermediate Targets Methods for Optimal Control Problems....Pages 79-92
HamiltonโJacobiโBellman Equations on Multi-domains....Pages 93-116
Gradient Computation for Model Calibration with Pointwise Observations....Pages 117-136
Numerical Analysis of POD A-posteriori Error Estimation for Optimal Control....Pages 137-158
Cubature on C 1 Space....Pages 159-172
A Globalized Newton Method for the Optimal Control of Fermionic Systems....Pages 173-191
A Priori Error Estimates for Optimal Control Problems with Constraints on the Gradient of the State on Nonsmooth Polygonal Domains....Pages 193-215
๐ SIMILAR VOLUMES
<p><P>This book presents a modern introduction of pde constrained optimization. It provides a precise functional analytic treatment via optimality conditions and a state-of-the-art, non-smooth algorithmical framework. Furthermore, new structure-exploiting discrete concepts and large scale, practical
Differential-algebraic equations are the most natural way to mathematically model many complex systems in science and engineering. Once the model is derived, it is important to optimize the design parameters and control it in the most robust and efficient way to maximize performance. <p> <p> This bo
This book presents a modern introduction of pde constrained optimization. It provides a precise functional analytic treatment via optimality conditions and a state-of-the-art, non-smooth algorithmical framework. Furthermore, new structure-exploiting discrete concepts and large scale, practically rel