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20112026
most citedA least-squares method for sparse low rank approximation of multivariate functions

72 citations · 536 across the 51 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

math.NA2017★ 7 cited

Low-rank approximation of linear parabolic equations by space-time tensor Galerkin methods

Thomas Boiveau, Virginie Ehrlacher, Alexandre Ern +1

We devise a space-time tensor method for the low-rank approximation of linear parabolic evolution equations. The proposed method is a stable Galerkin method, uniformly in the discr…

math.NA2017★ 3 cited

Tensor-based multiscale method for diffusion problems in quasi-periodic heterogeneous media

Quentin Ayoul-Guilmard, Anthony Nouy, Christophe Binetruy

This paper proposes to address the issue of complexity reduction for the numerical simulation of multiscale media in a quasi-periodic setting. We consider a stationary elliptic dif…

math.NA2017★ 2 cited

Weakly intrusive low-rank approximation method for nonlinear parameter-dependent equations

Loic Giraldi, Anthony Nouy

This paper presents a weakly intrusive strategy for computing a low-rank approximation of the solution of a system of nonlinear parameter-dependent equations. The proposed strategy…

math.DG2017★ 1 cited

Principal bundle structure of matrix manifolds

Marie Billaud-Friess, Antonio Falco, Anthony Nouy

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 Grassmann manifold $\mathbb…

math.NA2017★ 8 cited

Higher-order principal component analysis for the approximation of tensors in tree-based low-rank formats

Anthony Nouy

This paper is concerned with the approximation of tensors using tree-based tensor formats, which are tensor networks whose graphs are dimension partition trees. We consider Hilbert…

math.NA2017★ 15 cited

A multiscale method for semi-linear elliptic equations with localized uncertainties and non-linearities

Anthony Nouy, Florent Pled

A multiscale numerical method is proposed for the solution of semi-linear elliptic stochastic partial differential equations with localized uncertainties and non-linearities, the u…