Optimization problems subject to constraints governed by partial differential equations (PDEs) are among the most challenging problems in the context of industrial, economical and medical applications. Almost the entire range of problems in this field of research was studied and further explored as part of the Deutsche Forschungsgemeinschaft (DFG) priority program 1253 on “Optimization with Partial Differential Equations” from 2006 to 2013. The investigations were motivated by the fascinating potential applications and challenging mathematical problems that arise in the field of PDE constrained optimization. New analytic and algorithmic paradigms have been developed, implemented and validated in the context of real-world applications. In th...
Solving optimal control problems for many different scenarios obtained by varying a set of parameter...
The optimization and control of systems governed by partial differential equations (PDEs) usually re...
An adaptive approach to using reduced-order models as surrogates in PDE-constrained optimization is ...
Optimization problems subject to constraints governed by partial differential equations (PDEs) are a...
This special volume focuses on optimization and control of processes governed by partial differentia...
This volume provides a broad and uniform introduction of PDE-constrained optimization as well as to ...
This book on PDE Constrained Optimization contains contributions on the mathematical analysis and nu...
Abstract. The development, analysis and implementation of efficient and robust numerical techniques ...
Presents an introduction of pde constrained optimization. This book provides a precise functional an...
This book results from the authors work done on simulation based optimization problems at the Depart...
In this dissertation we investigate methods of solving various optimization problems with PDE constr...
Mathematical optimization encompasses both a rich and rapidly evolving body of fundamental theory, a...
This book introduces, in an accessible way, the basic elements of Numerical PDE-Constrained Optimiza...
This thesis deals with the optimal control of PDEs. After a brief introduction in the theory of elli...
iv New methods for solving certain types of PDE-constrained optimization problems are presented in t...
Solving optimal control problems for many different scenarios obtained by varying a set of parameter...
The optimization and control of systems governed by partial differential equations (PDEs) usually re...
An adaptive approach to using reduced-order models as surrogates in PDE-constrained optimization is ...
Optimization problems subject to constraints governed by partial differential equations (PDEs) are a...
This special volume focuses on optimization and control of processes governed by partial differentia...
This volume provides a broad and uniform introduction of PDE-constrained optimization as well as to ...
This book on PDE Constrained Optimization contains contributions on the mathematical analysis and nu...
Abstract. The development, analysis and implementation of efficient and robust numerical techniques ...
Presents an introduction of pde constrained optimization. This book provides a precise functional an...
This book results from the authors work done on simulation based optimization problems at the Depart...
In this dissertation we investigate methods of solving various optimization problems with PDE constr...
Mathematical optimization encompasses both a rich and rapidly evolving body of fundamental theory, a...
This book introduces, in an accessible way, the basic elements of Numerical PDE-Constrained Optimiza...
This thesis deals with the optimal control of PDEs. After a brief introduction in the theory of elli...
iv New methods for solving certain types of PDE-constrained optimization problems are presented in t...
Solving optimal control problems for many different scenarios obtained by varying a set of parameter...
The optimization and control of systems governed by partial differential equations (PDEs) usually re...
An adaptive approach to using reduced-order models as surrogates in PDE-constrained optimization is ...