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Christian Soize

Professor Emeritus, Université Gustave Eiffel, MSME UMR 8208
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Présentation

. Statistical Learning, Probabilistic Learning, Machine Learning, and Nonconvex Optimization Problem. . Uncertainty Quantification, stochastic modeling of uncertainties in computational sciences and engineering, their propagation and their quantification solving stochastic inverse problems. . Stochastic multi-scale modeling and application to microstructures of heterogeneous materials. . Computational science, computational mechanics, linear and nonlinear structural dynamics, structural acoustics, vibroacoustics, and coupled systems. . Computational stochastic dynamics for linear and nonlinear dynamical systems.

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934150
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Non-Gaussian simulation using Hermite polynomial expansion: convergences and algorithms

 Bénédicte Puig , F. Poirion , Christian Soize
Probabilistic Engineering Mechanics, 2002, 17 (3), pp.253-264. ⟨10.1016/S0266-8920(02)00010-3⟩
Article dans une revue hal-00686282v1
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Numerical simulation of homogeneous and inhomogeneous Gaussian stochastic vector fields

 F. Poirion , Christian Soize
La Recherche Aerospatiale (English edition), 1989, 1 (-), pp.41-61
Article dans une revue hal-00770316v1

Monte Carlo construction of Karhunen-Loeve expansion for non Gaussian random fields

 F. Poirion , Christian Soize
13th ASCE Engineering Mechanics Division Conference, The Johns Hopkins University, Jun 1999, Baltimore, MD, United States. pp.Pages: 1-6
Communication dans un congrès hal-00770460v1

Numerical methods and mathematical aspects for simulation of homogeneous and non homogeneous Gaussian vector fields

 Christian Soize , F. Poirion
P. Krée and W. Wedig. Probabilistic Methods in Applied Physics, Springer-Verlag, Berlin, pp.17-53, 1995
Chapitre d'ouvrage hal-00770416v1