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Computational Mechanics

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Solving the stochastic Burgers equation with a sensitivity derivative-driven Monte Carlo method

https://figshare.com/articles/Solving_the_stochastic_Burgers_equation_with_a_sensitivity_derivative-driven_Monte-Carlo_method/3561306/2

Code and all details included + Docker file for multi-platform installation.

Congrats to Paul Hauseux and Jack Hale.

Stéphane Bordas

Upcoming events

  • Lorella Viola: The problem with GPT for the Humanities (and for humanity)

Past events

  • Aubin Geoffre: Gaussian Process Regression with anisotropic kernel for supervised feature selection.
  • Vu Chau: Non-parametric data-driven constitutive modelling using artificial neural networks.
  • Alban Odot: Deformation approximation : Improve your Artificial Neural Network training using the Finite Element Method formulation. A case for static deformations.
  • Onkar Jadhav: Parametric model order reduction with an adaptive greedy sampling approach based on surrogate modeling. An application of the pMOR in financial risk analysis.
  • Lester Mackey: Kernel Thinning and Stein Thinning

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  • Email
    stephane.bordas@uni.lu
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    2 Avenue de l'Universite, 4365 Esch-sur-Alzette, Luxembourg
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