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31MAR 2023
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FAU mathematician receives ERC Advanced Grant
Millions in funding for Humboldt Professor Enrique Zuazua Another FAU researcher has prevailed in the competitive process for the Advanced Grants of the European Research Council (ERC): The mathematician and Humboldt Professor Dr. Enrique Zuazua will receive up to 2.5 million euros for his project “Control for Deep and Federated Learning” in the coming years. […]
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10MAR 2023
2023-resources
Observer Systeme für Gasnetze by M. Gugat
Next Wednesday March 15, 2023 our Prof. Akad. Director Martin Gugat, will talk on “Observer Systeme für Gasnetze” at the ,Elgersburg Workshop’ at TU Ilmenau, Technische Universität Ilmenau on March 12-16th, 2023. Abstract. Pipeline networks correspond to graphs where the edges are given by the pipes that form the network. The flow of gas through […]
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27FEB 2023
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Bavarian University Center for Latin America
BAYLAT and the chair “Dynamics, Control and Numerics – Alexander von Humboldt Professorship” of FAU sign an agreement to promote the exchange of talents in mathematical research On February 27, 2023, BAYLAT and the Chair “Dynamics, Control and Numerics – Alexander von Humboldt Professorship” (DCN-AvH) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) officially signed an agreement. BAYLAT was […]BAYLAT and the chair “Dynamics, Control and Numerics – Alexander von Humboldt Professorship” of FAU sign an agreement to promote the exchange of talents in mathematical research On February 27, 2023, BAYLAT and the Chair “Dynamics, Control and Numerics – Alexander von Humboldt Professorship” (DCN-AvH) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) officially signed an agreement. BAYLAT was […]
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22FEB 2023
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UC San Diego – Control and Machine Learning by E. Zuazua
On Monday March 6, 2023 our Head Prof. Enrique Zuazua will talk on “Control and Machine Learning” organized by the Mechanical and Aerospace Engineering at UC San Diego (USA). Abstract. In this lecture we shall present some recent results on the interplay between control and Machine Learning, and more precisely, Supervised Learning and Universal Approximation.We […]
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30SEP 2022
Akademy
Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs)
Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs) Internship under the “Women in Mathematics of Data” program Date: September 2022 Supervisors: Enrique Zuazua Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Code: • See the complete report by Dania Sana Introduction Accurate and fast predictions of numerical solutions are of significant interest in […]Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs) Internship under the “Women in Mathematics of Data” program Date: September 2022 Supervisors: Enrique Zuazua Institution: FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Code: • See the complete report by Dania Sana Introduction Accurate and fast predictions of numerical solutions are of significant interest in […]
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05AUG 2022
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Gas networks at stationary states: Analysis, software and visualization
Gas networks at stationary states: Analysis, software and visualization Code: Files to run: nocircle.m, onecircle.m or twocircles.m 1 Introduction This post presents the results of my Bachelor thesis about the modeling and implementation of gas networks at stationary states. Using the isothermal Euler equations to describe the gas flow through a single pipe, algebraic […]
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