Phase 1 of the SPP1962 ran from October 2016 to October 2019 and has been superseded by the current phase.
List of projects in Phase 1
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P01Approximation of Monge-Kantorovich Problems
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P02Coupling Hyperbolic PDEs with Switched DAEs: Analysis, Numerics and Application to Blood Flow Models
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P03Numerical Methods for Diagnosis and Therapy Design of Cerebral Palsy by Bilevel Optimal Control of Constrained Biomechanical Multi-Body Systems
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P04Parameter Identification in Models With Sharp Phase Transitions
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P05Multiobjective Optimal Control of Partial Differential Equations Using Reduced-Order Modeling
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P06Analysis and Solution Methods for Bilevel Optimal Control Problems
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P07Identification of Energies from Observations of Evolutions
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P08A Calculus for Non-Smooth Shape Optimization with Applications to Geometric Inverse Problems
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P09Optimal Control of Dissipative Solids: Viscosity Limits and Non-Smooth Algorithms
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P10Generalized Nash Equilibrium Problems with Partial Differential Operators: Theory, Algorithms, and Risk Aversion
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P11Optimal Control of Elliptic and Parabolic Quasi-Variational Inequalities
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P12Coordination Funds
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P13Simulation and Control of a Nonsmooth Cahn-Hilliard Navier–Stokes System with Variable Fluid Densities
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P14Algorithms for Quasi-Variational Inequalities in Infinite-Dimensional Spaces
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P15Non-smooth Methods for Complementarity Formulations of Switched Advection-Diffusion Processes
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P16Optimal Control of Variational Inequalities of the Second Kind with Application to Yield Stress Fluids
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P17Optimizing Fracture Propagation Using a Phase-Field Approach
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P18Optimal Control of Static Contact in Finite Strain Elasticity
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P19Shape Optimization for Maxwell's Equations Including Hysteresis Effects in the Material Laws
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P20Optimizing Variational Inequalities on Shape Manifolds
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P21Multi-Leader-Follower Games in Function Space
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P22Stress-Based Methods for Variational Inequalities in Solid Mechanics: Finite Element Discretization and Solution by Hierarchical Optimization
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P23Optimization methods for mathematical programs with equilibrium constraints in function spaces based on adaptive error control and reduced order or low rank tensor approximations
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P24Optimization of Non-smooth Hyperbolic Maxwell's Equations in Type-II Superconductivity Based on the Bean Critical State Model
Communicating Research Areas
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Modeling, problem analysis, algorithm design and convergence analysis
The focus of this area is on the development and analysis of genuinely non-smooth models in the sciences in order to properly capture real-world effects and to avoid comprising smoothing approaches. In simulation and optimization this requires to advance set-valued analysis and the design of robust algorithms for non-smooth problems.
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Realization of algorithms, adaptive discretization and model reduction
As the target applications of this SPP involve non-smooth structures and partial differential operators, the discretization of the associated problems and robust error estimation are important issues to be address, and proper model-reduction techniques need to be developed.
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Incorporation of parameter dependencies and robustness
In many applications the robustness of solutions with respect to a given parameter range (uncertainty set) is highly relevant. Correspondingly, in this research area of the SPP, bi- or multilevel optimization approaches will be studied in order to robustify problem solutions against uncertain parameters.