SEMINARS

Events in November–December 2021

Monday Tuesday Wednesday Thursday Friday Saturday Sunday
November 1, 2021 November 2, 2021 November 3, 2021 November 4, 2021 November 5, 2021 November 6, 2021 November 7, 2021
November 8, 2021 November 9, 2021 November 10, 2021 November 11, 2021 November 12, 2021 November 13, 2021 November 14, 2021
November 15, 2021 November 16, 2021 November 17, 2021 November 18, 2021(2 events)

Category: SeminarsPolaris-tt : Thomas Barzola ("reproducible" optimization of bike sharing systems)

Category: SeminarsSeminar Bruno Gaujal: "Markov Decision Processes: from discrete time/finite horizon to continuous time/infinite state space/infinite horizon."

November 19, 2021 November 20, 2021 November 21, 2021
November 22, 2021 November 23, 2021 November 24, 2021 November 25, 2021(2 events)

Category: SeminarsSeminar Fryderyk Falniowski: Chaotic behavior in congestion games

Category: SeminarsSeminar "Positive solutions for large random linear systems - application to theoretical ecology" by Jamal Najim

November 26, 2021 November 27, 2021 November 28, 2021
November 29, 2021 November 30, 2021 December 1, 2021 December 2, 2021(1 event)

Category: SeminarsPolaris-tt: Chen Yan

December 3, 2021 December 4, 2021 December 5, 2021
  • November 25, 2021 @ Bâtiment IMAG (206) -- Seminar "Positive solutions for large random linear systems - application to theoretical ecology" by Jamal Najim
    Large Lotka-Volterra (LV) systems of coupled differential equations is a popular model to describe the dynamics and equilibrium of the abundances of large populations in interaction such as foodwebs for instance. For such large LV systems, calibrating the interaction coefficients between the coupled equations is a highly difficult task that people often circumvent by considering instead random coefficients. 
    In this talk, we will describe feasible equilibria for such systems. By feasible equilibrium, we mean an equilibrium with no vanishing species. The study of such an equilibrium amounts to finding a positive solution to a simple large linear equation involving a large random matrix. We will describe solutions for various models: fully random (i.i.d.), sparse, correlated. 
     
    Key words are: Theoretical ecology, random Matrix Theory, concentration of measure, extreme values. Reference: arXiv:1904.04559
     
    Joint work with I. Akjouj, P. Bizeul, M. Clénet, H. El Ferchichi. 
  • December 2, 2021 @ -- Polaris-tt: Chen Yan
  • December 9, 2021 @ -- Polaris-tt: Till Kletti (Introducing the expohedron for fair and useful rankings)

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