Resources

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22NOV 2023
FAUMoD Lecture Series
FAU MoD Lecture Series. Special November 2023
Date: Wed. November 22, 2023 Event: FAU MoD Lecture Series (Special double session. November 2023) Event type: On-site / online Organized by: FAU MoD, the FAU Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) First session: 13:45H FAU MoD Lecture: Prospects of formalized mathematics Speaker: Prof. Dr. Michael Kohlhase Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg Abstract. […]Date: Wed. November 22, 2023 Event: FAU MoD Lecture Series (Special double session. November 2023) Event type: On-site / online Organized by: FAU MoD, the FAU Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) First session: 13:45H FAU MoD Lecture: Prospects of formalized mathematics Speaker: Prof. Dr. Michael Kohlhase Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg Abstract. […]
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11OCT 2023
FAUMoD Lecture Series
FAU MoD Lecture: Free boundary regularity for the obstacle problem
Date: Wed. October 11, 2023 Event: FAU MoD Lecture Organized by: FAU MoD, Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Free boundary regularity for the obstacle problem Speaker: Prof. Dr. Alessio Figalli Affiliation: ETH Zürich, Switzerland Abstract. The classical obstacle problem consists of finding the equilibrium position of an […]Date: Wed. October 11, 2023 Event: FAU MoD Lecture Organized by: FAU MoD, Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Free boundary regularity for the obstacle problem Speaker: Prof. Dr. Alessio Figalli Affiliation: ETH Zürich, Switzerland Abstract. The classical obstacle problem consists of finding the equilibrium position of an […]
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07AUG 2023
FAU MoD Conference
CIN-PDE 2023 Erlangen-Shanghai
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, the FAU 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, […]
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06JUL 2023
FAUMoD Lecture Series
FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function
Date: Thu. July 6, 2023 Event: FAU MoD Lecture Organized by: FAU MoD, Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function Speaker: Prof. Dr. Alfio Quarteroni Affiliation: Politecnico di Milano, Milan, Italy and Ecole Polytechnique Fédérale de Lausanne, Lausanne, […]Date: Thu. July 6, 2023 Event: FAU MoD Lecture Organized by: FAU MoD, Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function Speaker: Prof. Dr. Alfio Quarteroni Affiliation: Politecnico di Milano, Milan, Italy and Ecole Polytechnique Fédérale de Lausanne, Lausanne, […]
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28FEB 2023
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Measuring Keyness by S. Evert
Last February 28th, 2023 our FAU MoD member, Prof. Dr. Stephanie Evert gave a keynote lecture on “Measuring Keyness” at the “Workshop: Using and Developing Software for Keyness Analysis” organised within the scope of the project “Zeta and Company” at Trier University (Germany). Abstract. In corpus linguistics, the notion of keywords refers to words […]
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17FEB 2023
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Computational Science at Extreme Scale by U. Rüde
On February 17th, 2023 our FAU MoD member, Prof. Dr. Ulrich Rüde gave a talk on “Computational Science at Extreme Scale” at the “FMF Symposium 2023” organised at the University of Groningen. Abstract. The fastest supercomputers in the world have recently reached ExaFLOPS performance. This means that they can execute 10^18 floating point operations per […]
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