no code implementations • 12 Jan 2024 • Katerina Giannoukou, Stefano Marelli, Bruno Sudret
Gray-box modeling is concerned with the problem of merging information from data-driven (a. k. a.
no code implementations • 28 Jun 2023 • Styfen Schär, Stefano Marelli, Bruno Sudret
We propose a novel surrogate modelling approach to efficiently and accurately approximate the response of complex dynamical systems driven by time-varying exogenous excitations over extended time periods.
no code implementations • 10 Sep 2020 • Nora Lüthen, Stefano Marelli, Bruno Sudret
Sparse polynomial chaos expansions (PCE) are an efficient and widely used surrogate modeling method in uncertainty quantification for engineering problems with computationally expensive models.
no code implementations • 4 Feb 2020 • Nora Lüthen, Stefano Marelli, Bruno Sudret
Sparse polynomial chaos expansions (PCE) are a popular surrogate modelling method that takes advantage of the properties of PCE, the sparsity-of-effects principle, and powerful sparse regression solvers to approximate computer models with many input parameters, relying on only few model evaluations.
Numerical Analysis Numerical Analysis Computation Methodology
1 code implementation • 12 Sep 2018 • Euclid Collaboration, Mischa Knabenhans, Joachim Stadel, Stefano Marelli, Doug Potter, Romain Teyssier, Laurent Legrand, Aurel Schneider, Bruno Sudret, Linda Blot, Saeeda Awan, Carlo Burigana, Carla Sofia Carvalho, Hannu Kurki-Suonio, Gabriele Sirri
The absolute accuracy of the final nonlinear power spectrum is comparable to one obtained with N-body simulations, i. e. $\sim 1\%$ for $k\lesssim 1\, h\,{\rm Mpc}^{-1}$ and $z\lesssim 3. 5$.
Cosmology and Nongalactic Astrophysics