World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
41
Citations
6631
World Ranking
1921
National Ranking
115

Engineering and Technology

D-Index
42
Citations
6710
World Ranking
6592
National Ranking
218

Overview

Michael Hintermüller is affiliated with the Weierstrass Institute for Applied Analysis and Stochastics in Germany. Their research primarily spans the fields of Computer Science, Engineering, and Mathematics, with significant contributions to Computational Theory and Mathematics, Applied Mathematics, and Computational Mechanics. The scientist's work also intersects with subfields such as Computer Vision and Pattern Recognition as well as Control and Systems Engineering.

Their main research topics include Optimization and Variational Analysis, Nonlinear Partial Differential Equations, Advanced Mathematical Modeling in Engineering, Contact Mechanics and Variational Inequalities, Model Reduction and Neural Networks, Stability and Controllability of Differential Equations, and Neural Networks and Applications.

Michael Hintermüller has published extensively in various academic venues, including a notable presence in arXiv (Cornell University) with 16 publications. Other frequent publication venues include ESAIM Control Optimisation and Calculus of Variations, Applied Mathematics & Optimization, Numerical Functional Analysis and Optimization, and Computers & Mathematics with Applications.

The scientist's recent papers include:

  • Dualization and Automatic Distributed Parameter Selection of Total Generalized Variation via Bilevel Optimization (2022), published in Numerical Functional Analysis and Optimization
  • A posteriori error control for distributed elliptic optimal control problems with control constraints discretized by hp-finite elements (2020), published in Computers & Mathematics with Applications
  • Optimization with learning-informed differential equation constraints and its applications (2021), published in ESAIM Control Optimisation and Calculus of Variations
  • Risk-neutral PDE-constrained generalized Nash equilibrium problems (2022), published in Mathematical Programming
  • Optimal Control and Directional Differentiability for Elliptic Quasi-Variational Inequalities (2022), published in Set-Valued and Variational Analysis

Throughout their career, Michael Hintermüller has collaborated frequently with several co-authors, including Amal Alphonse, Carlos N. Rautenberg, Kostas Papafitsoros, Guozhi Dong, and Thomas M. Surowiec. These collaborations have contributed to advancing research in their thematic areas.

Best Publications

  • The Primal-Dual Active Set Strategy as a Semismooth Newton Method

    M. Hintermüller;K. Ito;K. Kunisch

  • An Infeasible Primal-Dual Algorithm for Total Bounded Variation--Based Inf-Convolution-Type Image Restoration

    M. Hintermüller;G. Stadler

  • Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration

    Yiqiu Dong;Michael Hintermüller;M. Monserrat Rincon-Camacho

  • Total bounded variation regularization as a bilaterally constrained optimization problem

    Karl Kunisch;Michael Hintermüller

  • A Comparison of a Moreau--Yosida-Based Active Set Strategy and Interior Point Methods for Constrained Optimal Control Problems

    M. Bergounioux;M. Haddou;M. Hintermüller;K. Kunisch

  • Path-following Methods for a Class of Constrained Minimization Problems in Function Space

    Michael Hintermüller;Karl Kunisch

  • A mesh-independence result for semismooth Newton methods

    Michael Hintermüller;Michael Ulbrich

  • Feasible and Noninterior Path-Following in Constrained Minimization with Low Multiplier Regularity

    Unknown

  • Mathematical Programs with Complementarity Constraints in Function Space: C- and Strong Stationarity and a Path-Following Algorithm

    M. Hintermüller;I. Kopacka

  • AN A POSTERIORI ERROR ANALYSIS OF ADAPTIVE FINITE ELEMENT METHODS FOR DISTRIBUTED ELLIPTIC CONTROL PROBLEMS WITH CONTROL CONSTRAINTS

    Michael Hintermüller;Ronald H.W. Hoppe;Ronald H.W. Hoppe;Yuri Iliash;Michael Kieweg

  • A Second Order Shape Optimization Approach for Image Segmentation

    Michael Hintermüller;Wolfgang Ring

  • Second-order topological expansion for electrical impedance tomography

    M. Hintermüller;A. Laurain;A. A. Novotny

  • Nonconvex TV$^q$-Models in Image Restoration: Analysis and a Trust-Region Regularization--Based Superlinearly Convergent Solver

    Michael Hintermüller;Tao Wu

  • Electrical Impedance Tomography: from topology to shape

    Michael Hintermüller;Antoine Laurain

  • Spatially dependent regularization parameter selection in total generalized variation models for image restoration

    Kristian Bredies;Yiqiu Dong;Michael Hintermüller

  • Moreau-Yosida Regularization in State Constrained Elliptic Control Problems: Error Estimates and Parameter Adjustment

    Michael Hintermüller;Michael Hinze

  • Goal-oriented adaptivity in control constrained optimal control of partial differential equations

    Michael Hintermuller;Ronald H.W. Hoppe

  • An Efficient Primal-Dual Method for $L^1$TV Image Restoration

    Yiqiu Dong;Michael Hintermüller;Marrick Neri

  • Optimal Control of a Semidiscrete Cahn--Hilliard--Navier--Stokes System

    Michael Hintermüller;Donat Wegner

  • Multiphase Image Segmentation and Modulation Recovery Based on Shape and Topological Sensitivity

    M. Hintermüller;A. Laurain

  • A Proximal Bundle Method Based on Approximate Subgradients

    Michael Hintermüller

Frequent Co-Authors

Karl Kunisch
Karl Kunisch University of Graz
Michael Hinze
Michael Hinze University of Koblenz and Landau
Stefan Volkwein
Stefan Volkwein University of Konstanz
Gabriele Steidl
Gabriele Steidl Technical University of Berlin
Peter A. Markowich
Peter A. Markowich King Abdullah University of Science and Technology
Florian Knoll
Florian Knoll University of Erlangen-Nuremberg
Martin Skutella
Martin Skutella Technical University of Berlin
Martin Burger
Martin Burger University of Erlangen-Nuremberg
Fredi Tröltzsch
Fredi Tröltzsch Technical University of Berlin
Günter Leugering
Günter Leugering University of Erlangen-Nuremberg

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