Math Crash Course
Math Crash Course Michael Schuster FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: 2023 _ The math final exams are coming ...
Course: A Practical Introduction to Control, Numerics, and Machine Learning (IFAC CPDE 2022)
Practical course: Modeling, simulation, optimization Enrique Zuazua Daniël Veldman FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer 2022 (IFAC CPDE ...
Course: Control and optimization for non-local and fractional differential equations
Course: Control and optimization for non-local and fractional differential equations Period: Summer 2022 (August 1st – August 12nd, 2022) Enrique ...
Practical course: Modeling, simulation, optimization
Practical course: Modeling, simulation, optimization Author: Daniël Veldman FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer semester 2021 This course ...
Lecture notes: A primer on functional Analytic methods for PDEs
Lecture notes: A primer on functional Analytic methods for PDEs Author: Hannes Meinlschmidt FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: ...
Master PDE course – Partial Differential Equations, Control and Numerics
Master PDE course – Partial Differential Equations, Control and Numerics 01 Introduction Historical Introduction Introduction Control Design 02 Finite-dimensional linear ...
Thesis
Gradient Descent on Wide Neural Networks and Federated Learning
Master Thesis: "Gradient Descent on Wide Neural Networks and Federated Learning" Author: Gisele Stephanie Otiobo Supervisor: Prof. Dr. DhC. Enrique ...
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, ...
PhD Thesis defense: Nodal Control and Probabilistic Constrained Optimization using the Example of Gas Networks by Michael Schuster
Date: Fri. July 23, 2021 Event: PhD Thesis Defense Title: Nodal Control and Probabilistic Constrained Optimization using the Example of ...
Internships outputs
Neural ODEs for interpolation and transport: From tight to shallow
Neural ODEs for interpolation and transport: From tight to shallow By Arselane Hadj Slimane, Internship. Master Student. ENS Paris-Saclay Introduction ...
Combined convection and diffusion in a network. A numerical analysis
Combined convection and diffusion in a network. A numerical analysis. By Dragoș Manea, Visiting PhD Student. Simion Stoilow Mathematical Institute ...
Reinforcement learning as a new perspective into controlling physical systems
Reinforcement learning as a new perspective into controlling physical systems By Theïlo Terrisse, Visiting PhD Student. L’Ecole des Ponts ParisTech ...
Breaking the curse of dimensionality with Barron spaces
Breaking the curse of dimensionality with Barron spaces By Antonio Álvarez López 1 Introduction Recent advances in computational hardware have ...
Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs)
Approximating the 1D wave equation using Physics Informed Neural Networks (PINNs) By Dania Sana Introduction Accurate and fast predictions of ...
Gas networks at stationary states: Analysis, software and visualization
Gas networks at stationary states: Analysis, software and visualization By Veronika Riedl Code: Files to run: nocircle.m, onecircle.m or twocircles.m ...