Controlling the spread of invasive biological species

Controlling the spread of invasive biological species

Date: Thu. November 24, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar “Controlling the spread of invasive biological species” Speaker: Prof. Maria Teresa Chiri Affiliation: Department of Mathematics and Statistics Queen’s University (Canada) Abstract. We consider a controlled reaction-diffusion…

Ensemble control of quantum systems by adiabatic evolution

Ensemble control of quantum systems by adiabatic evolution

Date: Wed. November 16, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar “Ensemble control of quantum systems by adiabatic evolution” Speaker: Prof. Dr. Mario Sigalotti Affiliation: Centre de Recherche Paris, LJLL – Laboratoire Jacques-Louis Lions (France). Abstract. In the…

Machine learning for MR image reconstruction: From first results to ongoing challenges

Machine learning for MR image reconstruction: From first results to ongoing challenges

Date: Wed. November 2, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar “Machine learning for MR image reconstruction: From first results to ongoing challenges” Speaker: Prof. Dr. Florian Knoll Affiliation: AIBE, Department Artificial Intelligence in Biomedical Engineering. FAU Friedrich-Alexander-Universität…

Theory of homogeneous dynamical systems and their application

Theory of homogeneous dynamical systems and their application

Date: Wed. October 26, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar “Theory of homogeneous dynamical systems and their application” Speaker: Prof. Dr. Denis Efimov Affiliation: Inria, Lille – Nord Europe Center (France) Abstract. Homogeneity is a kind of…

Natural gradient in evolutionary games

Natural gradient in evolutionary games

Date: Tue. October 18, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar “Natural gradient in evolutionary games” Speaker: Prof. Dr. Vladimir Jaćimović Affiliation: Faculty of Natural Sciences and Mathematics, University of Montenegro Abstract. I will start with a very…

Remarks on the long-time dynamics of 2D Euler

Remarks on the long-time dynamics of 2D Euler

Date: Wed. October 12, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar “Remarks on the long-time dynamics of 2D Euler” Speaker: Prof. Dr. Theodore Drivas Affiliation: Mathematics Department, Stony Brook University (USA) Abstract. We will discuss some old and…

Large-amplitude modulation of periodic traveling waves

Large-amplitude modulation of periodic traveling waves

Date: Wed. October 5, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar “Large-amplitude modulation of periodic traveling waves” Speaker: Prof. Dr. Kevin Zumbrun Affiliation: Department of Mathematics, Indiana University (USA) Abstract. We introduce a new approach to the study…

Quantitative rapid stabilization of some PDE models

Quantitative rapid stabilization of some PDE models

Date: Fri. July 08, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: Quantitative rapid stabilization of some PDE models Speaker: Prof. Dr. Shengquan Xiang Affiliation: Mathematical Institute for Data Science at Johns Hopkins University (USA) Abstract. Quantitative stabilization is an active research topic in PDEs’ control…

Quasi-reversibility methods of optimal control for ill-posed final value diffusion equations

Quasi-reversibility methods of optimal control for ill-posed final value diffusion equations

Date: Tue. July 05, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship Title: Quasi-reversibility methods of optimal control for ill-posed final value diffusion equations Speaker: Visitor scientist Prof. Dr. Mahamadi Warma Affiliation: George Mason University (USA) Abstract. We consider optimal control problems associated to generally non-well posed Cauchy problems in a general…

Physics-inspired equivariant machine learning

Physics-inspired equivariant machine learning

Date: Wed. June 22, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Physics-inspired equivariant machine learning Speaker: Prof. Dr. Soledad Villar Affiliation: Mathematical Institute for Data Science at Johns Hopkins University (USA) Abstract. There has been enormous progress in the last few years in designing neural networks…

Deep redatuming for PDE and inverse problems

Deep redatuming for PDE and inverse problems

Date: Fri. June 10, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Deep redatuming for PDE and inverse problems Speaker: Prof. Dr. Laurent Demanet Affiliation: MIT – Massachusetts Institute of Technology (USA) Abstract. Neural networks have been leveraged in non-trivial ways in the context of computational inverse…

Optimal Control Design for Fluid Mixing: from Open-Loop to Closed-Loop

Optimal Control Design for Fluid Mixing: from Open-Loop to Closed-Loop

Date: Thu. May 19, 2022 Organized by: Durham University, Seminars in Mathematical Sciences Title: Optimal Control Design for Fluid Mixing: from Open-Loop to Closed-Loop Speaker: Visitor scientist Prof. Dr. Weiwei Hu Affiliation: University of Georgia (USA) Abstract. The question of what velocity fields effectively enhance or prevent transport and mixing, or steer a scalar field to a desired distribution, is…

Some observations on the turnpike property and optimal actuator design

Some observations on the turnpike property and optimal actuator design

Date: Wed. May 11, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Some observations on the turnpike property and optimal actuator design Speaker: Dr. Borjan Geshkovski Affiliation: MIT – Massachusetts Institute of Technology (USA) Abstract. The turnpike property in optimal control and optimal actuator design are by…

Robust Protection against Uncertainties in Discrete-Continuous Optimization

Robust Protection against Uncertainties in Discrete-Continuous Optimization

Date: Fri. April 29, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Robust Protection against Uncertainties in Discrete-Continuous Optimization Speaker: Prof. Dr. Frauke Liers Affiliation: FAU MoD Research Center for Mathematics of Data. Department of Data Science (DDS) Professorship of Optimization under Uncertainty & Data Analysis at…

Quantum algorithms for computing observables of nonlinear partial differential equations

Quantum algorithms for computing observables of nonlinear partial differential equations

Date: Fri. April 1, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Quantum algorithms for computing observables of nonlinear partial differential equations Speaker: Prof. Dr. Shi Jin  Affiliation: Shanghai Jiao Tong University (China) Abstract. Nonlinear partial differential equations (PDEs) are crucial to modelling important problems in science…

Numerical algorithms as a tool that binds science disciplines with particular emphasis on matrix algorithms

Numerical algorithms as a tool that binds science disciplines with particular emphasis on matrix algorithms

Date: Fri. March 4, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Numerical algorithms as a tool that binds science disciplines with particular emphasis on matrix algorithms Speaker: Prof. Dr. Hab. Eng. Jerzy Respondek Affiliation: Department of Applied Informatics, Silesian University of Technology (Poland) Abstract. The talk…

On adversarial training and perimeter minimization problems

On adversarial training and perimeter minimization problems

Date: Wed. February 16, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: On adversarial training and perimeter minimization problems Speaker: Prof. Dr. Nicolas Garcia Trillos Affiliation: Department of Statistics, University of Wisconsin-Madison (USA) Abstract. SAdversarial training is a framework widely used by machine learning practitioners to enforce…

GSPT for Fast-Slow PDEs

GSPT for Fast-Slow PDEs

Date: Fri. February 4, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Modeling, simulation and control of multi-physical systems: A change of paradigm Speaker: Prof. Dr. Christian Kühn Affiliation: TU München (Germany) Abstract. Systems with multiple time scales appear in a wide variety of applications. Yet, their…

Modeling, simulation and control of multi-physical systems: A change of paradigm

Modeling, simulation and control of multi-physical systems: A change of paradigm

Date: Fri. January 21, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Modeling, simulation and control of multi-physical systems: A change of paradigm Speaker: Prof. Dr. Volker Mehrmann Affiliation: Technische Universität Berlin (Germany) Abstract. Most real world dynamical systems consist of subsystems from different physical domains, modeled…

Neural network and partial differential equations

Neural network and partial differential equations

Date: Wed. December 8, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Neural network and partial differential equations Speaker: Prof. Dr. Lexing Ying Affiliation: Stanford University, Department of Mathematics and ICME, Institute for Computational and Mathematical Engineering (USA) Abstract. In this talk, we will discuss recent interaction…

Estimation of extreme event probabilities in systems governed by PDEs

Estimation of extreme event probabilities in systems governed by PDEs

Date: Wed. December 1, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Estimation of extreme event probabilities in systems governed by PDEs Speaker: Prof. Dr. Georg Stadler Affiliation: Courant Institute of Mathematical Sciences, New York University (USA) Abstract. We propose methods for the estimation of extreme event…

Variational principles in a stochastic setting

Variational principles in a stochastic setting

Date: Fri. November 26, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Variational principles in a stochastic setting Speaker: Prof. Dr. Tudor Ratiu Affiliation: SJTU – Shanghai Jiao Tong University (China) Abstract. The standard variational principles in geometric mechanics suggest an extension to the stochastic setting. Stochastic…

Building bridges Lévy-walk way

Building bridges Lévy-walk way

Date: Wed. November 19, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Building bridges Lévy-walk way Speaker: Prof. Dr. Vasily Zaburdaev Affiliation: FAU Erlangen-Nürnberg (Germany) Abstract. Lévy walks are random walks in which the walker moves continuously and with a constant velocity between the reorientation events. The…

Modeling climate change: A dynamical systems approach

Modeling climate change: A dynamical systems approach

Date: Wed. November 10, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Modeling climate change: A dynamical systems approach Speaker: Prof. Dr. Alejandro Aceves Affiliation: Southern Methodist University (USA) Abstract. Addressing climate change from different perspectives is without question an urgent need. Climate research is a complex…

Numerical methods for random Helmholtz problem

Numerical methods for random Helmholtz problem

Date: Wed. October 27, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Numerical methods for random Helmholtz problem Speaker: Prof. Dr. Kai Zhang Affiliation: Jilin University (China) Abstract. In this talk, we discuss numerical methods for three kinds of random Helmholtz problems. For the random interface grating…

Analysis of gradient descent on wide two-layer ReLU neural networks

Analysis of gradient descent on wide two-layer ReLU neural networks

Date: Fri. October 22, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Analysis of gradient descent on wide two-layer ReLU neural networks Speaker: Dr. Lénaïc Chizat Affiliation: EPFL, École Polytechnique Fédérale de Lausanne (Switzerland) Abstract. In this talk, we propose an analysis of gradient descent on wide…

Towards the optimization of optical properties of particulate products

Towards the optimization of optical properties of particulate products

Date: Wed. October 13, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Towards the optimization of optical properties of particulate products Speaker: Prof. Dr. Michael Stingl Affiliation: Department of Mathematics, Chair of Applied Mathematics (Continuous Optimization) – FAU Erlangen-Nürnberg (Germany) Abstract. Challenges in designing optical properties of…

On solving/learning differential equations with kernels

On solving/learning differential equations with kernels

Date: Fri. October 08, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: On solving/learning differential equations with kernels Speaker: Prof. Dr. Houman Owhadi Affiliation: Caltech (USA) Abstract. We present a simple, rigorous, and unified framework for solving and learning (possibly nonlinear) differential equations (PDEs and ODEs) using…

Long-time behaviour of dissipative systems

Long-time behaviour of dissipative systems

Date: Wed. September 22, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Long-time behaviour of dissipative systems Speaker: Prof. Dr. Andrei Agrachev Affiliation: International School for Advanced Studies, SISSA-ISAS (Italy) Abstract. Energy dissipation is always a “smoothing” and “stabilising” factor for the dynamics. In the case of…

Geodesics and Laplace spectrum on 3D contact sub-Riemannian manifolds: the Reeb flow

Geodesics and Laplace spectrum on 3D contact sub-Riemannian manifolds: the Reeb flow

Date: Wed. September 15, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Geodesics and Laplace spectrum on 3D contact sub-Riemannian manifolds: the Reeb flow Speaker: Prof. Dr. Yves Colin de Verdière Affiliation: Université Grenoble Alpes (France) Abstract. A 3D closed manifold with a contact distribution and a…

Photonic band gaps of optimized crystal and disordered networks

Photonic band gaps of optimized crystal and disordered networks

Date: Thu. July 22, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Photonic band gaps of optimized crystal and disordered networks Speaker: Dr. Michael Klatt Affiliation: FAU Erlangen-Nürnberg, Germany Abstract. The talk will begin with a brief introduction to photonic band gap materials and standard techniques in…

Learning to benchmark

Learning to benchmark

Date: Wed. July 14, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Learning to benchmark Speaker: Prof. Dr. Alfred Hero Affiliation: University of Michigan, USA Abstract. We address the problem of learning an achievable lower bound on classification error from a labeled sample. We establish an optimization…

Learning Energy-Based Models for Image Reconstruction

Learning Energy-Based Models for Image Reconstruction

Date: Wed. July 07, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Learning Energy-Based Models for Image Reconstruction Speaker: Prof. Dr. Alexander Effland Affiliation: University of Bonn, Germany Abstract. Various problems in computer vision and medical imaging can be cast as inverse problems. A frequent method for…

Configurational Mechanics: Views and Perspectives

Configurational Mechanics: Views and Perspectives

Date: Wed. Jun. 30, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Configurational Mechanics: Views and Perspectives Speaker: Prof. Dr. Paul Steinmann Affiliation: FAU Erlangen-Nürnberg (Germany) Abstract. Configurational mechanics is an unconventional, sophisticated branch of continuum physics rationalizing and unifying the tendency of a continuum body to…

Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces

Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces

Date: Wed. Jun. 23, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces Speaker: Prof. Dr. Boumediene Hamzi Affiliation: Imperial College London, UK Abstract. Since its inception in the 19th century through the efforts of Poincaré and…

Optimal Control meets graph-based methods: Autonomous driving on Turnpikes

Optimal Control meets graph-based methods: Autonomous driving on Turnpikes

Date: Wed. Jun. 16, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Optimal Control meets graph-based methods: Autonomous driving on Turnpikes Speaker: Prof. Dr. Kathrin Flaßkamp Affiliation: Universität des Saarlandes, Germany Abstract. In this talk we consider optimal control problems that occur for planning tasks for autonomous…

Space-discretizations of reaction-diffusion SPDEs

Space-discretizations of reaction-diffusion SPDEs

Date: Wed. Jun. 9, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Space-discretizations of reaction-diffusion SPDEs Speaker: Dr. Carina Geldhauser Affiliation: Lund University, Sweden Abstract. In this talk we will discuss two different viewpoints on a space-discrete reaction-diffusion equation with noise: First, as an interacting particle sytem…

Asymptotic behavior of one-dimensional wave equations with set-valued boundary damping

Asymptotic behavior of one-dimensional wave equations with set-valued boundary damping

Date: Wed. Jun. 2, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Asymptotic behavior of one-dimensional wave equations with set-valued boundary damping Speaker: Prof. Dr. Yacine Chitour Affiliation: Université Paris-Saclay, France Abstract. This talk concerns one dimensional wave equations with nonlinear boundary damping . After providing a…

MIP and/or PDE optimization in the context of gas network optimization

MIP and/or PDE optimization in the context of gas network optimization

Date: Wed. May 12, 2021 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: MIP and/or PDE optimization in the context of gas network optimization Speaker: Prof. Dr. Alexander Martin Affiliation: FAU Erlangen-Nürnberg and Fraunhofer Institute IIS, Germany Abstract. Looking at network flow problems from a mixed integer programming…

Variational problems on L-infinity and continuum limits on graphs

Variational problems on L-infinity and continuum limits on graphs

Date: Wed. May 5, 2021 Organized by: FAU DCN-AvH, Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Variational problems on L-infinity and continuum limits on graphs Speaker: Dr. Leon Bungert Affiliation: FAU Erlangen-Nürnberg, Germany Abstract. Modern machine learning techniques and in particular Deep Learning have surpassed classical methods both in terms of efficiency and…

Mean-field limit for non-exchangeable multi-agent systems

Mean-field limit for non-exchangeable multi-agent systems

Date: Wed. April 28, 2021 Organized by: FAU DCN-AvH, Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Mean-field limit for non-exchangeable multi-agent systems Speaker: Prof. Dr. Pierre Emmanuel Jabin Affiliation: University of Maryland, USA Abstract. We are studying the asymptotic behavior of multi-agent or many-particle systems as the number of agents increases. In a…

Dynamics of a kinetic model from evolutionary biology

Dynamics of a kinetic model from evolutionary biology

Date: Thu. April 22, 2021 Organized by: FAU DCN-AvH, Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Dynamics of a kinetic model from evolutionary biology Speaker: Prof. Dr. Gael Raoul Affiliation: Ecole Polytechnique Paris, France Abstract. We consider a population structured by a phenotypic trait. If the species reproduces sexually, if two parents produce…

Felix Klein: A Legacy of Innovation in Mathematics and Education

Felix Klein: A Legacy of Innovation in Mathematics and Education

Date: Wed. April 14, 2021 Organized by: FAU DCN-AvH, Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Felix Klein: A Legacy of Innovation in Mathematics and Education Speaker: Prof. Roberto Rodríguez del Río Affiliation: Universidad Complutense de Madrid / IES San Mateo, Spain Abstract. Felix Christian Klein lived in a period of the history…

Some aspects of cross diffusion equations

Some aspects of cross diffusion equations

Date: Wed. April 7, 2021 Organized by: FAU DCN-AvH, Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Some aspects of cross diffusion equations Speaker: Prof. Dr. Laurent Desvillettes Affiliation: Université Paris Diderot, France Abstract. Cross diffusion systems are made of coupled parabolic equations and appear in fluid mechanics as well as population dynamics. Their…

Adaptive Computation of Sparse Solutions

Adaptive Computation of Sparse Solutions

Date: Wed. March 31, 2021 Organized by: FAU DCN-AvH, Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Adaptive Computation of Sparse Solutions Speaker: Prof. Dr. Martin Burger Affiliation: FAU Erlangen-Nürnberg, Germany Abstract. In this talk we will discuss approaches of adaptivity to the computation of sparse solutions in an underlying continuum setting. A canonical…

Optimal sampling in least-squares methods – applications in PDEs and inverse problems

Optimal sampling in least-squares methods – applications in PDEs and inverse problems

Date: Wed. March 24, 2021 Organized by: FAU DCN-AvH, Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Optimal sampling in least-squares methods – applications in PDEs and inverse problems Speaker: Prof. Dr. Albert Cohen Affiliation: Laboratoire Jacques-Louis Lions, Sorbonne Université, France Abstract. Recovering an unknown function from point samples is an ubiquitous task in…

On Convex Type Constrained Problems of First Order and Some Applications

On Convex Type Constrained Problems of First Order and Some Applications

Date: Wed. March 17, 2021 Organized by: FAU DCN-AvH, Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: On Convex Type Constrained Problems of First Order and Some Applications Speaker: Prof. Dr. Jose Francisco Rodrigues Affiliation: University of Lisbon, Portugal Abstract. We revisit old and new results on solutions to some classes of unilateral type…

(Non)local phase coexistence models

(Non)local phase coexistence models

Date: Thu. March 11, 2021 Organized by: FAU DCN-AvH, Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: (Non)local phase coexistence models Speaker: Prof. Dr. Enrico Valdinoci Affiliation: University of Western Australia, Australia Abstract. We will discuss classical and recent results concerning the Allen-Cahn equation and its long-range counterpart, especially in relation to its limit…

A non-controllability result for the half-heat equation on the whole line based on the prolate spheroidal wave functions and its application to the Grushin equation

A non-controllability result for the half-heat equation on the whole line based on the prolate spheroidal wave functions and its application to the Grushin equation

Date: Fri. March 5, 2021 Organized by: FAU DCN-AvH, Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: A non-controllability result for the half-heat equation on the whole line based on the prolate spheroidal wave functions and its application to the Grushin equation Speaker: Prof. Dr. Pierre Lissy Affiliation: Université Paris-Dauphine, France Abstract. In this…

Spatially inhomogeneous evolutionary games

Spatially inhomogeneous evolutionary games

Date: Thu. February 25, 2021 Organized by: FAU DCN-AvH, Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Spatially inhomogeneous evolutionary games Speaker: Prof. Dr. Marco Morandotti Affiliation: Politecnico di Torino, Italy Abstract. We study an interaction model of a large population of players based on an evolutionary game, which describes the dynamical process of…