Resources

Resources: slides, recordings, videos, software, libraries, etc.

145 to 150 of 202

09AUG 2023
2023-resources
Optimal Boundary Control for the semilinear Transport Equation under Uncertainty: A Turnpike Result
Next Friday August 25, 2023 our postdoctoral researcher Michael Schuster, will talk on “Optimal Boundary Control for the semilinear Transport Equation under Uncertainty: A Turnpike Result” at ICIAM 2023 TOKYO, the 10th International Congress on Industrial and Applied Mathematics on August 20-25th, 2023. Abstract. We show an integral turnpike result for an optimal Dirichlet boundary […]
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07AUG 2023
2023-resources
CIN-PDE 2023 • Erlangen-Shanghai: Workshop on Control, Inversion and Numerics for PDEs
Date: Tue. August 1 – Fri. August 4, 2023 Event: CIN-PDE 2023 Erlangen-Shanghai. Workshop on Control, Inversion and Numerics for PDEs. Organized by: FAU MoD, Research Center for Mathematics of Data and the FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) and the Fudan University (Shanghai, China). Organizers […]Date: Tue. August 1 – Fri. August 4, 2023 Event: CIN-PDE 2023 Erlangen-Shanghai. Workshop on Control, Inversion and Numerics for PDEs. Organized by: FAU MoD, Research Center for Mathematics of Data and the FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) and the Fudan University (Shanghai, China). Organizers […]
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24JUL 2023
2023-resources
Analysis, control, and singular limits for hyperbolic conservation laws
Analysis, control, and singular limits for hyperbolic conservation laws Author: Nicola de Nitti Date: Monday July 24, 2023 PhD Thesis: Analysis, control, and singular limits for hyperbolic conservation laws (July 24, 2023) Abstract. The main focus of this thesis is on the study of singular limits related to scalar conservation laws. These are first-order partial […]
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23JUL 2023
2023-resources
Probabilistic Constrained Optimization on Gas Networks
Next July 27, 2023 our postdoctoral researcher Michael Schuster, will talk on “Probabilistic Constrained Optimization on Gas Networks” at ICSP 2023, the XVI International Conference Stochastic Programming on July 24-28th, 2023, at University of California Davis (USA). Abstract. Uncertainty often plays an important role in gas transport and probabilistic constraints are an excellent modeling tool […]Next July 27, 2023 our postdoctoral researcher Michael Schuster, will talk on “Probabilistic Constrained Optimization on Gas Networks” at ICSP 2023, the XVI International Conference Stochastic Programming on July 24-28th, 2023, at University of California Davis (USA). Abstract. Uncertainty often plays an important role in gas transport and probabilistic constraints are an excellent modeling tool […]
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12JUL 2023
2023-resources
FAU DCN-AvH Mini-workshop: Analysis, Numerics and Control
Next Monday, July 17, 2023: Event: FAU DCN-AvH Mini-workshop: Analysis, Numerics and Control Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) 11:00H Title: Stability and genericity in affine optimal control Abstract. For some applications is better to consider optimal control problems […]Next Monday, July 17, 2023: Event: FAU DCN-AvH Mini-workshop: Analysis, Numerics and Control Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) 11:00H Title: Stability and genericity in affine optimal control Abstract. For some applications is better to consider optimal control problems […]
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07JUL 2023
2023-resources
Machine Learning: Publisher Recommendation Model
Master Thesis: “Machine Learning: Publisher Recommendation Model” Author: Mohammed Quaidjohar Husain Supervisor: Prof. Dr. DhC. Enrique Zuazua Date: July 7, 2023 The exponential rise of digital content in recent years, along with the spread of inter- net platforms, has led to an excessive influx of data from all sources, which causes an information overload issue. […]
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