Computational Methods in Applied Mathematics (CMAM 2022)
TU Wien, August 29 - September 2, 2022

Minisymposia

• MS01: Adaptive finite element methods for variational inequalities
• Andreas Schröder, University of Salzburg, Austria
• Gerhard Starke, University of Duisburg-Essen, Germany
• MS02: Algorithmic aspects of optimal control
• Daniel Walter, Humboldt-Universität zu Berlin, Germany
• MS03: Approximating and discretizing with structure
• Lars Diening, University of Bielefeld, Germany
• Christian Kreuzer, TU Dortmund, Germany
• Andreas Veeser, University of Milan, Italy
• MS04: Artificial boundary conditions for wave problems in unbounded domains
• Jason Kaye, Flatiron Institute, USA
• MS05: Computational PDE-constrained optimization
• Irwin Yousept, University of Duisburg-Essen, Germany
• MS06: Computational stochastic PDEs
• Francesca Bonizzoni, University of Augsburg, Germany
• Michele Ruggeri, University of Strathclyde, UK
• MS07: Eigenvalue problems in applied mathematics
• Fleurianne Bertrand, University of Twente, Netherlands
• Daniele Boffi, KAUST, Saudi Arabia
• MS09: Machine learning and computational micromagnetism
• Lukas Exl, University of Vienna, Austria
• Norbert J. Mauser, University of Vienna, Austria
• MS10: Numerical methods for kinetic transport equations
• Matthias Schlottbom, University of Twente, Netherlands
• MS11: Numerical methods for wave propagation problems
• Ilaria Perugia, University of Vienna, Austria
• Barbara Verfürth, Karlsruhe Institute of Technology, Germany
• MS13: Modeling and numerics of (relativistic) Schrödinger equations
• Timon S. Gutleb, University of Oxford, UK
• Norbert J. Mauser, University of Vienna, Austria
• Hans Peter Stimming, University of Vienna, Austria
• MS14: Numerical solution of problems arising in modeling and optimization of complex fluid mechanics problems
• Sergio González-Andrade, Escuela Politécnica Nacional, Ecuador
• Timm Treskatis, TU Dortmund, Germany
• MS16: Recent developments in finite element methods for nonlinear problems
Neela Nataraj, Indian Institute of Technology Bombay, India
• MS18: Reliable modeling of nonlinear problems
• Johannes Kraus (University of Duisburg-Essen, Germany)
• Sergey Repin, Steklov Mathematical Institute, Russia & University of Jyväskylä, Finland
• MS19: Space-time solvers for evolutionary PDEs
• Gregor Gantner, TU Wien, Austria
• Rob Stevenson, University of Amsterdam, Netherlands
• MS20: Virtual element methods for PDEs
• Rekha Khot, Indian Institute of Technology Bombay, India
• MS21: Multiscale methods for materials and molecules
• Huajie Chen, Beijing Normal University, China
• Christoph Ortner, University of British Columbia, Canada
• Lei Zhang, Shanghai Jiao Tong University, China