MS2: Optimal Control in Applications

Optimization problems subject to constraints given by partial differential equations (PDEs) with additional constraints on the control and/or state variables belong to the most challenging problem classes in natural sciences, engineering, and economics. Due to the complexities of the PDEs and the requirement for rapid solution pose significant challenges for the computational scientists. A particularly challenging class of PDE-constrained optimization problems in several applications is characterized by the need for real-time solution, i.e., in time scales that are sufficiently rapid to support simulationbased decision making. The main focus of this minisymposium is devoted to solve efficiently such large scale application problems which includes the design of preconditioners for KKT systems arising within the optimization, but also offer opportunities for storage management, subdomain model reduction and parallelization techniques.