TY - JOUR A1 - Hintermüller, Michael A1 - Strogies, Nikolai T1 - Identification of the friction function in a semilinear system for gas transport through a network JF - Optimization Methods and Software N2 - An identification problem for the friction parameter in a semilinear system of balance laws, describing the transport of gas through a passive network of pipelines, is considered. The existence of broad solutions to the state system is proven and sensitivity results for the corresponding solution operator are obtained. The existence of solutions to the output least squares formulation of the identification problem, based on noisy measurements over time at fixed spatial positions is established. Finally, numerical experiments validate the theoretical findings. Y1 - 2017 VL - 35 SP - 576 EP - 617 ER - TY - JOUR A1 - Hintermüller, Michael A1 - Strogies, Nikolai T1 - On the consistency of Runge--Kutta methods up to order three applied to the optimal control of scalar conservation laws JF - Numerical Analysis and Optimization N2 - Higher-order Runge-Kutta (RK) time discretization methods for the optimal control of scalar conservation laws are analyzed and numerically tested. The hyperbolic nature of the state system introduces specific requirements on discretization schemes such that the discrete adjoint states associated with the control problem converge as well. Moreover, conditions on the RK-coefficients are derived that coincide with those characterizing strong stability preserving Runge-Kutta methods. As a consequence, the optimal order for the adjoint state is limited, e.g., to two even in the case where the conservation law is discretized by a third-order method. Finally, numerical tests for controlling Burgers equation validate the theoretical results. Y1 - 2017 U6 - https://doi.org/10.20347/WIAS.PREPRINT.2442 SP - 119 EP - 154 ER - TY - JOUR A1 - Hintermüller, Michael A1 - Rautenberg, Carlos A1 - Strogies, Nikolai T1 - Dissipative and Non-dissipative Evolutionary Quasi-variational Inequalities with Gradient Constraints JF - Set-Valued and Variational Analysis N2 - Evolutionary quasi-variational inequality (QVI) problems of dissipative and non-dissipative nature with pointwise constraints on the gradient are studied. A semi-discretization in time is employed for the study of the problems and the derivation of a numerical solution scheme, respectively. Convergence of the discretization procedure is proven and properties of the original infinite dimensional problem, such as existence, extra regularity and non-decrease in time, are derived. The proposed numerical solver reduces to a finite number of gradient-constrained convex optimization problems which can be solved rather efficiently. The paper ends with a report on numerical tests obtained by a variable splitting algorithm involving different nonlinearities and types of constraints. Y1 - 2017 VL - 27 SP - 433 EP - 468 ER -