Search Results - "Nouy, Anthony"
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A priori model reduction through Proper Generalized Decomposition for solving time-dependent partial differential equations
Published in Computer methods in applied mechanics and engineering (01-04-2010)“…Over the past years, model reduction techniques have become a necessary path for the reduction of computational requirements in the numerical simulation of…”
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Generalized spectral decomposition method for solving stochastic finite element equations: Invariant subspace problem and dedicated algorithms
Published in Computer methods in applied mechanics and engineering (15-10-2008)“…Stochastic Galerkin methods have become a significant tool for the resolution of stochastic partial differential equations (SPDE). However, they suffer from…”
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3
Recent Developments in Spectral Stochastic Methods for the Numerical Solution of Stochastic Partial Differential Equations
Published in Archives of computational methods in engineering (01-09-2009)“…Uncertainty quantification appears today as a crucial point in numerous branches of science and engineering. In the last two decades, a growing interest has…”
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4
Approximation Theory of Tree Tensor Networks: Tensorized Univariate Functions
Published in Constructive approximation (01-10-2023)“…We study the approximation of univariate functions by combining tensorization of functions with tensor trains (TTs)—a commonly used type of tensor networks…”
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5
Moment-SoS methods for optimal transport problems
Published in Numerische Mathematik (01-08-2024)“…Most common optimal transport (OT) solvers are currently based on an approximation of underlying measures by discrete measures. However, it is sometimes…”
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Randomized linear algebra for model reduction—part II: minimal residual methods and dictionary-based approximation
Published in Advances in computational mathematics (01-04-2021)“…A methodology for using random sketching in the context of model order reduction for high-dimensional parameter-dependent systems of equations was introduced…”
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Dictionary-based model reduction for state estimation
Published in Advances in computational mathematics (01-06-2024)“…We consider the problem of state estimation from a few linear measurements, where the state to recover is an element of the manifold M of solutions of a…”
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A moment approach for entropy solutions of parameter-dependent hyperbolic conservation laws
Published in Numerische Mathematik (2024)“…We propose a numerical method to solve parameter-dependent scalar hyperbolic partial differential equations (PDEs) with a moment approach, based on a previous…”
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Geometry of tree-based tensor formats in tensor Banach spaces
Published in Annali di matematica pura ed applicata (01-10-2023)“…In the paper ‘On the Dirac–Frenkel Variational Principle on Tensor Banach Spaces’ , we provided a geometrical description of manifolds of tensors in Tucker…”
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A probabilistic reduced basis method for parameter-dependent problems
Published in Advances in computational mathematics (01-04-2024)“…Probabilistic variants of model order reduction (MOR) methods have recently emerged for improving stability and computational performance of classical…”
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A new splitting algorithm for dynamical low-rank approximation motivated by the fibre bundle structure of matrix manifolds
Published in BIT (01-06-2022)“…In this paper, we propose a new splitting algorithm for dynamical low-rank approximation motivated by the fibre bundle structure of the set of fixed rank…”
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Tree-based tensor formats
Published in SeMA journal (01-06-2021)“…The main goal of this paper is to study the topological properties of tensors in tree-based Tucker format. These formats include the Tucker format and the…”
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Principal Bundle Structure of Matrix Manifolds
Published in Mathematics (Basel) (01-07-2021)“…In this paper, we introduce a new geometric description of the manifolds of matrices of fixed rank. The starting point is a geometric description of the…”
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A generalized spectral decomposition technique to solve a class of linear stochastic partial differential equations
Published in Computer methods in applied mechanics and engineering (15-09-2007)“…We propose a new robust technique for solving a class of linear stochastic partial differential equations. The solution is approximated by a series of terms,…”
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15
Higher-order principal component analysis for the approximation of tensors in tree-based low-rank formats
Published in Numerische Mathematik (13-03-2019)“…This paper is concerned with the approximation of tensors using tree-based tensor formats, which are tensor networks whose graphs are dimension partition…”
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Proper Generalized Decompositions and Separated Representations for the Numerical Solution of High Dimensional Stochastic Problems
Published in Archives of computational methods in engineering (01-12-2010)“…Uncertainty quantification and propagation in physical systems appear as a critical path for the improvement of the prediction of their response. Galerkin-type…”
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17
Randomized linear algebra for model reduction. Part I: Galerkin methods and error estimation
Published in Advances in computational mathematics (01-12-2019)“…We propose a probabilistic way for reducing the cost of classical projection-based model order reduction methods for parameter-dependent linear equations. A…”
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Foreword to the Proceedings of the CEMRACS 2013
Published in ESAIM. Proceedings and surveys (01-01-2015)Get full text
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19
Model order reduction based on proper generalized decomposition for the propagation of uncertainties in structural dynamics
Published in International journal for numerical methods in engineering (13-01-2012)“…SUMMARY A priori model reduction methods based on separated representations are introduced for the prediction of the low frequency response of uncertain…”
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Proper generalized decomposition for nonlinear convex problems in tensor Banach spaces
Published in Numerische Mathematik (01-07-2012)“…Tensor-based methods are receiving a growing interest in scientific computing for the numerical solution of problems defined in high dimensional tensor product…”
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