activity
20122023
most citedA function space framework for structural total variation regularization with applications in inverse problems

27 citations · 67 across the 13 of their papers we have counts for

collaborators

15 papers

math.OC2023★ 3 cited

A hybrid physics-informed neural network based multiscale solver as a partial differential equation constrained optimization problem

Michael Hintermüller, Denis Korolev

In this work, we study physics-informed neural networks (PINNs) constrained by partial differential equations (PDEs) and their application in approximating PDEs with two characteri…

math.OC2023

Optimal boundary control of the isothermal semilinear Euler equation for gas dynamics on a network

Marcelo Bongarti, Michael Hintermüller

The analysis and boundary optimal control of the nonlinear transport of gas on a network of pipelines is considered. The evolution of the gas distribution on a given pipe is modele…

math.OC2022★ 1 cited

Risk-averse optimal control of random elliptic variational inequalities

Amal Alphonse, Caroline Geiersbach, Michael Hintermüller +1

We consider a risk-averse optimal control problem governed by an elliptic variational inequality (VI) subject to random inputs. By deriving KKT-type optimality conditions for a pen…

math.OC2021

Optimality Conditions and Moreau--Yosida Regularization for Almost Sure State Constraints

Caroline Geiersbach, Michael Hintermüller

We analyze a potentially risk-averse convex stochastic optimization problem, where the control is deterministic and the state is a Banach-valued essentially bounded random variable…

math.OC2020★ 22 cited

Dualization and Automatic Distributed Parameter Selection of Total Generalized Variation via Bilevel Optimization

Michael Hintermüller, Kostas Papafitsoros, Carlos N. Rautenberg +1

Total Generalized Variation (TGV) regularization in image reconstruction relies on an infimal convolution type combination of generalized first- and second-order derivatives. This…

math.OC2019★ 3 cited

Existence, iteration procedures and directional differentiability for parabolic QVIs

Amal Alphonse, Michael Hintermüller, Carlos N. Rautenberg

We study parabolic quasi-variational inequalities (QVIs) of obstacle type. Under appropriate assumptions on the obstacle mapping, we prove the existence of solutions of such QVIs b…