Name: IFIP TC7 System Modeling and Optimization
Start: 2024-08-12T09:00:00+02:00
End: 2024-08-16T14:50:00+02:00
Location: Von-Melle-Park 8

A combined phase field and sharp method for shape optimisation (in session "MS 12: Innovative Methods for Shape Optimization")

A descent method for nonsmooth multiobjective optimization problems in Hilbert spaces (in session "MS 02: Robust Optimization of hybrid / nonsmooth systems")

A Greedy Algorithm for Efficient Learning of Control Systems (in session "MS 01: Optimal Control and Machine Learning")

A least-squares space-time approach for parabolic equations (in session "MS 06: Recent advances in PDE-constrained optimization")

A New Diagonalization Based Method for Parallel-in-Time Solution of Linear-Quadratic Optimal Control Problems (in session "MS 05: Parallel-in-time methods for PDE-constrained optimization")

A Periodic-in-Time Approximation for Parallel Preconditioning of Instationary Stokes and Oseen Problems (in session "MS 05: Parallel-in-time methods for PDE-constrained optimization")

A Recursive Multilevel Algorithm for Deep Learning (in session "MS 01: Optimal Control and Machine Learning")

A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints (in session "MS 01: Optimal Control and Machine Learning")

A stability result for the identification of a displacement discontinuity jump on linear elasticity equations (in session "MS 10: Inverse Problems for Partial Differential Equations")

A Toolbox for the Automatic Generation of Port-Hamiltonian Models for Mechanical Structures (in session "MS 03: Recent trends in control and numerics of port-Hamiltonian systems")

A variational and numerical approach to model inverse problems applied in subduction earthquakes (in session "MS 07: Modeling, Analysis and Optimal Control of Infinite Dimensional Problems and Applications")

A W-1-∞-appraoch for Shape Optimization using ADMM (in session "MS 12: Innovative Methods for Shape Optimization")

Absolute Continuity for Rosenblatt Measures (in session "MS 09: Stochastic Modeling and Control")

Accelerating a Bike Without Pedaling – A Benchmark Problem for Nonsmooth Optimal Control? (in session "MS 02: Robust Optimization of hybrid / nonsmooth systems")

Adaptive Step Sizes for Preconditioned Stochastic Gradient Descent (in session "MS 01: Optimal Control and Machine Learning")

Adaptive Trust Region Reduced Basis Methods for Parameter Identification Problems (in session "MS 06: Recent advances in PDE-constrained optimization")

Algorithm Switching for Multiobjective Energy Modeling and Predictions (in session "MS 07: Modeling, Analysis and Optimal Control of Infinite Dimensional Problems and Applications")

Approximate propagation of normal distributions for stochastic optimal control of nonsmooth systems (in session "MS 02: Robust Optimization of hybrid / nonsmooth systems")

Approximating optimal value functions with neural networks under a decaying sensitivity assumption (in session "MS 01: Optimal Control and Machine Learning")

Approximative optimal experimental design in Bayesian inversion (in session "MS 04: Correlation-based passive imaging and optimal experimental design")

Assessment of Deep Learning-based Reconstruction with Imperfect Ground Truth for MRCP (in session "MS 08: Mathematics and Magnetic Resonance Imaging")

Asymptotics and stability of long run stochastic control problems (in session "MS 09: Stochastic Modeling and Control")

Bayesian Inversion for Semiconductor Inverse Problems (in session "MS 04: Correlation-based passive imaging and optimal experimental design")

Bellman equation for risk-sensitive control with superlinear cost (in session "MS 09: Stochastic Modeling and Control")

Bi-level iterative regularization for inverse problems in nonlinear PDEs (in session "MS 10: Inverse Problems for Partial Differential Equations")

Bilinear control problems governed by PDEs: analysis, optimization and discretization (in session "Plenary Talk")

Coefficient Control for Variational Inequalities (in session "MS 06: Recent advances in PDE-constrained optimization")

Combined Regularization and Discretization of Equilibrium Problems and Primal-Dual Gap Estimators (in session "MS 07: Modeling, Analysis and Optimal Control of Infinite Dimensional Problems and Applications")

Combined topology-parameter multi-material optimization by the topological derivative (in session "MS 12: Innovative Methods for Shape Optimization")

Compact domain approximation of the long-run impulse control with multiplicative functional (in session "MS 09: Stochastic Modeling and Control")

Computing Multiple Local Minimizers of Topology Optimization Problems and Application for Hydrogen Electrolysis Cell Design (in session "MS 12: Innovative Methods for Shape Optimization")

Conditional gradient methods in total variation regularization of inverse problems for PDEs (in session "MS 10: Inverse Problems for Partial Differential Equations")

Constrained Best Approximation of Shape Tensors and its Role for the Determination of Shape Gradients (in session "MS 12: Innovative Methods for Shape Optimization")

Continuation methods for higher-order density-based topology optimization (in session "MS 12: Innovative Methods for Shape Optimization")

Correlation imaging in telescope imaging and beyond (in session "MS 04: Correlation-based passive imaging and optimal experimental design")

Data-driven predictive control with stability guarantees (in session "MS 01: Optimal Control and Machine Learning")

Derivatives of Rate-Independent Operators (in session "MS 07: Modeling, Analysis and Optimal Control of Infinite Dimensional Problems and Applications")

Directional differentiability for solution operators of vectorial sweeping processes with applications in optimal control (in session "MS 07: Modeling, Analysis and Optimal Control of Infinite Dimensional Problems and Applications")

Discrete-time risk sensitive portfolio optimisation (in session "MS 09: Stochastic Modeling and Control")

Discrete-To-Continuum Limits in Graph-Based Semi-Supervised Learning (in session "Plenary Talk")

Dissipativity Properties in Neural Network Training (in session "MS 01: Optimal Control and Machine Learning")

Efficient nested integration estimators for optimal experimental design (in session "MS 04: Correlation-based passive imaging and optimal experimental design")

Eigenvalue optimization with respect to shape-variation in electromagnetic cavities (in session "MS 07: Modeling, Analysis and Optimal Control of Infinite Dimensional Problems and Applications")

Experimental design in the presence of model error (in session "MS 04: Correlation-based passive imaging and optimal experimental design")

Exploring the Brain's Complexity: Stochastic Models and Artificial Intelligence in Neuroinformatics (in session "MS 09: Stochastic Modeling and Control")

Financial markets with concave transaction costs (in session "MS 09: Stochastic Modeling and Control")

Generalized derivatives for the solution operator of the obstacle problem and error estimates for numerical approximations (in session "MS 06: Recent advances in PDE-constrained optimization")

Generative Modeling via Wasserstein Gradient flows of Maximum Mean Discrepancies (in session "Plenary Talk")

High-order operator splitting methods for linear port-Hamiltonian systems (in session "MS 03: Recent trends in control and numerics of port-Hamiltonian systems")

Hybrid Gaussian Beam Pseudo-Spectral Method for Efficient Wave Propagation in PAT (in session "MS 10: Inverse Problems for Partial Differential Equations")

Identification of cavities in a nonlinear model arising from electrophysiology (in session "MS 10: Inverse Problems for Partial Differential Equations")

IFDIFF - A Matlab Toolkit for ODEs with State˗Dependent Switches (in session "MS 02: Robust Optimization of hybrid / nonsmooth systems")

Image Registration Using Optimal Control of a Linear Hyperbolic Transport Equation (in session "MS 06: Recent advances in PDE-constrained optimization")

Improving accuracy of ODE solvers via randomization (in session "MS 09: Stochastic Modeling and Control")

Inferring solar differential rotation and viscosity via passive imaging with inertial waves (in session "MS 04: Correlation-based passive imaging and optimal experimental design")

Interdisciplinary Research Addressing New Challenges: The Central Role of Stochastic Systems and Control (in session "MS 09: Stochastic Modeling and Control")

Inverse problems for active matter (in session "MS 10: Inverse Problems for Partial Differential Equations")

Jet space extensions of infinite-dimensional Hamiltonian systems (in session "MS 03: Recent trends in control and numerics of port-Hamiltonian systems")

Limiting Descent Directions in p-Harmonic Shape Optimization (in session "MS 12: Innovative Methods for Shape Optimization")

Mathematical background of ESPIRiT: ESPIRiT versus MOCCA (in session "MS 08: Mathematics and Magnetic Resonance Imaging")

Mixed-integer linear programming models for Autonomous Home Energy Management Systems (in session "Contributed Talks")

Model-based Cardiac T1-Mapping (in session "MS 08: Mathematics and Magnetic Resonance Imaging")

Monotonicity and Convexity in Inverse Coefficient Problems (in session "MS 10: Inverse Problems for Partial Differential Equations")

Motion-compensated cardiac MRI reconstruction with stochastic optimisation (in session "MS 08: Mathematics and Magnetic Resonance Imaging")

MRI in chemical engineering applications (in session "MS 08: Mathematics and Magnetic Resonance Imaging")

Multilinear Hybrid Differential Algebraic Models - Challenges & Applications (in session "Contributed Talks")

On existence of multipliers for constrained optimization problems with feasible sets involving PDE's (in session "MS 07: Modeling, Analysis and Optimal Control of Infinite Dimensional Problems and Applications")

On solutions to the reduced plate model with hinged-free boundary conditions (in session "MS 07: Modeling, Analysis and Optimal Control of Infinite Dimensional Problems and Applications")

On the continuity of the value function in reinforcement learning and optimal control (in session "MS 01: Optimal Control and Machine Learning")

On the convergence of feedback laws generated via machine learning methods (in session "MS 01: Optimal Control and Machine Learning")

On the value of a time-inconsistent mean-field optimal stopping" (in session "MS 09: Stochastic Modeling and Control")

Opinion formation and control (in session "Plenary Talk")

Optimal Control of elliptic PDEs with Wasserstein Regularization (in session "MS 06: Recent advances in PDE-constrained optimization")

Optimal control of port-Hamiltonian systems (in session "MS 03: Recent trends in control and numerics of port-Hamiltonian systems")

Optimal control of rate-independent systems with non-convex energy (in session "MS 06: Recent advances in PDE-constrained optimization")

Optimal Control of the Generalized Riemann Problem for Hyperbolic Systems of Conservation Laws (in session "MS 06: Recent advances in PDE-constrained optimization")

Optimal control of the principal coefficient in a scalar wave equation (in session "MS 10: Inverse Problems for Partial Differential Equations")

Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs (in session "MS 09: Stochastic Modeling and Control")

Optimal excitation of dynamical systems for parameter identification (in session "MS 09: Stochastic Modeling and Control")

Optimal experimental design with correlation data (in session "MS 04: Correlation-based passive imaging and optimal experimental design")

Optimal Switching Dirac Control for Stabilization of Time-Varying Linear Parabolic Equations (in session "MS 07: Modeling, Analysis and Optimal Control of Infinite Dimensional Problems and Applications")

Optimality of Pulse Energy for Photoacoustic Tomography (in session "MS 04: Correlation-based passive imaging and optimal experimental design")

Optimization Problems with probabilistic/robust (probust) constraints: Theory, Numerics and Applications (in session "Plenary Talk")

Parallel-in-Time Bathymetry Reconstruction (in session "MS 05: Parallel-in-time methods for PDE-constrained optimization")

Parallel-in-time multiple shooting for large-scale optimal control problems governed by the 3D Navier-Stokes equations (in session "MS 05: Parallel-in-time methods for PDE-constrained optimization")

Parallelization in time for optimal control and inverse problems (in session "MS 05: Parallel-in-time methods for PDE-constrained optimization")

Phase distribution graphs for differentiable and efficient simulations of arbitrary MRI sequences (in session "MS 08: Mathematics and Magnetic Resonance Imaging")

Physics-informed neural networks for non-smooth PDE-constrained optimization problems (in session "MS 01: Optimal Control and Machine Learning")

Polytopic dG-based level-set shape optimization (in session "MS 12: Innovative Methods for Shape Optimization")

Power Swaps: A Coordination Mechanism for Operation of Jointly Owned Hydropower Reservoirs (in session "Contributed Talks")

Probability-Based Collision Risk Evaluation of Trajectories for Optimal Control Problems with Moving Obstacles (in session "MS 02: Robust Optimization of hybrid / nonsmooth systems")

Qualitative properties of minimizers of Total-Variation regularized problems (in session "Plenary Talk")

Quantitative MRI as a non-linear tomography problem: from mathematical principles to clinical demonstration (in session "MS 08: Mathematics and Magnetic Resonance Imaging")

Quasi-Monte Carlo methods for Bayesian optimal experimental design (in session "MS 04: Correlation-based passive imaging and optimal experimental design")

Rare and extreme events in PDE systems involving random parameters (in session "Plenary Talk")

Rate of Penetration Optimization using Differential Evolutionary Extreme Learning Machines (in session "Contributed Talks")

Reducing overhangs in additive manufacturing with Shape and Topology optimization (in session "MS 12: Innovative Methods for Shape Optimization")

Regularization and stabilization of port-Hamiltonian descriptor systems via output feedback (in session "MS 03: Recent trends in control and numerics of port-Hamiltonian systems")

Reinforcement Learning Methods for Risk-Sensitive Investment Management (in session "MS 09: Stochastic Modeling and Control")

Robust Parameter and Shape Optimization of Electrical Machines with Isogeometric Analysis (in session "MS 06: Recent advances in PDE-constrained optimization")

Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data (in session "MS 08: Mathematics and Magnetic Resonance Imaging")

Scalable Method for Bayesian Experimental Design Using the Projection-Based Approximation of Conditional Expectation (PACE) (in session "MS 04: Correlation-based passive imaging and optimal experimental design")

Smoothed circulant embedding and applications in multilevel Monte Carlo methods (in session "Plenary Talk")

Solving Discrete Quantum Optimal Control Problems (in session "MS 07: Modeling, Analysis and Optimal Control of Infinite Dimensional Problems and Applications")

SQP Method for Hyperbolic PDE-Constrained Optimization in Acoustic Full Waveform Inversion (in session "MS 06: Recent advances in PDE-constrained optimization")

Stabilization of a weak viscoelastic wave equation with variable coefficients and an interior delay under nonlinear boundary dissipation (in session "MS 07: Modeling, Analysis and Optimal Control of Infinite Dimensional Problems and Applications")

Structure preserving time discretization of port-Hamiltonian systems (in session "MS 03: Recent trends in control and numerics of port-Hamiltonian systems")

Systems of quadratic growth backward SDEs in general filtration with no driving martingale (in session "MS 09: Stochastic Modeling and Control")

The Pontryagin maximum principle for the optimal control of coefficients of an elliptic differential operator (in session "MS 06: Recent advances in PDE-constrained optimization")

The temporal domain derivative and shape reconstruction in inverse acoustic scattering (in session "MS 10: Inverse Problems for Partial Differential Equations")

The Westervelt-Rayleigh-Plesset model of ultrasound contrast imaging with microbubbles (in session "MS 07: Modeling, Analysis and Optimal Control of Infinite Dimensional Problems and Applications")

Time Parallel KKT Preconditioners for Transient PDE-Constrained Optimization (in session "MS 05: Parallel-in-time methods for PDE-constrained optimization")

Towards robust optimization of chromatographic separation processes with flow reversal (in session "MS 02: Robust Optimization of hybrid / nonsmooth systems")

Tractable optimal experimental design using transport maps (in session "MS 04: Correlation-based passive imaging and optimal experimental design")

Vitali variation error bounds for expected value functions (in session "Contributed Talks")

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IFIP TC7 System Modeling and Optimization