Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Xavier Vasseur"'
Publikováno v:
SIAM Journal on Matrix Analysis and Applications
SIAM Journal on Matrix Analysis and Applications, Society for Industrial and Applied Mathematics, 2020, 41 (4), pp.1571-1589. ⟨10.1137/19M1288644⟩
SIAM Journal on Matrix Analysis and Applications, Society for Industrial and Applied Mathematics, 2020, 41 (4), pp.1571-1589. ⟨10.1137/19M1288644⟩
International audience; Given a full-rank matrix $A \in \mathbb{R}^{m\times n}$ ($m\geq n$), we consider a special class of linear systems $A^T\! Ax=A^T\! b+c$ with $x, c \in \mathbb{R}^{n}$ and $b \in \mathbb{R}^{m}$, which we refer to as the extend
Publikováno v:
SIAM Journal on Optimization
SIAM Journal on Optimization, 2020, 31 (1), pp.307-330. ⟨10.1137/19M1255355⟩
SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2020, 31 (1), pp.307-330. ⟨10.1137/19M1255355⟩
HAL
SIAM Journal on Optimization, 2020, 31 (1), pp.307-330. ⟨10.1137/19M1255355⟩
SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2020, 31 (1), pp.307-330. ⟨10.1137/19M1255355⟩
HAL
SIAM: Society for Industrial and Applied Mathematics; International audience; We propose a new family of multilevel methods for unconstrained minimization. The resulting strategies are multilevel extensions of high-order optimization methods based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d531c4b2b269f038f94a8281b04821b4
https://hal.archives-ouvertes.fr/hal-02943218
https://hal.archives-ouvertes.fr/hal-02943218
Publikováno v:
Journal of Applied Mathematics and Physics (JAMP)
Journal of Applied Mathematics and Physics (JAMP), Scientific Research Publishing, 2021, 09 (06), pp.1278-1321. ⟨10.4236/jamp.2021.96088⟩
Journal of Applied Mathematics and Physics (JAMP), Scientific Research Publishing, 2021, 09 (06), pp.1278-1321. ⟨10.4236/jamp.2021.96088⟩
We consider the design of structure-preserving discretization methods for the solution of systems of boundary controlled Partial Differential Equations (PDEs) thanks to the port-Hamiltonian formalism. We first provide a novel general structure of inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e48877486f281ea674e4f69ec989e2b
http://arxiv.org/abs/2007.08326
http://arxiv.org/abs/2007.08326
Publikováno v:
Optimization Methods and Software
Optimization Methods and Software, Taylor & Francis, 2020, pp.1-26. ⟨10.1080/10556788.2020.1775828⟩
Optimization Methods and Software, Taylor & Francis, 2020, pp.1-26. ⟨10.1080/10556788.2020.1775828⟩
International audience; In this paper, we propose a new multilevel Levenberg–Marquardt optimizer for the training of artificial neural networks with quadratic loss function. This setting allows us to get further insight into the potential of multil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f946ac1b55ded897c4df1d42b022a04c
https://oatao.univ-toulouse.fr/26744/
https://oatao.univ-toulouse.fr/26744/
Publikováno v:
SIAM Journal on Matrix Analysis and Applications
SIAM Journal on Matrix Analysis and Applications, Society for Industrial and Applied Mathematics, 2020, pp.1-25
HAL
SIAM Journal on Matrix Analysis and Applications, 2020, pp.1-25
SIAM Journal on Matrix Analysis and Applications, Society for Industrial and Applied Mathematics, 2020, pp.1-25
HAL
SIAM Journal on Matrix Analysis and Applications, 2020, pp.1-25
International audience; Given a full column rank matrix A ∈ R m×n (m ≥ n), we consider a special class of linear systems of the form A ⊤ Ax = A ⊤ b + c with x, c ∈ R n and b ∈ R m. The occurrence of c in the right-hand side of the equati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c9471471dc76f8a53f64d66b9fb6f7a6
https://hal.archives-ouvertes.fr/hal-02943217
https://hal.archives-ouvertes.fr/hal-02943217
Publikováno v:
Computational Mechanics
Computational Mechanics, 2017, 60 (6), pp.969-982. ⟨10.1007/s00466-017-1450-z⟩
Computational Mechanics, 2017, 60 (6), pp.969-982. ⟨10.1007/s00466-017-1450-z⟩
International audience; Many applications in structural mechanics require the numerical solution of sequences of linear systems typically issued from a finite element discretization of the governing equations on fine meshes. The method of Lagrange mu
Publikováno v:
Quarterly Journal of the Royal Meteorological Society
Quarterly Journal of the Royal Meteorological Society, Wiley, 2019, pp.1-21. ⟨10.1002/qj.3537⟩
Quarterly Journal of the Royal Meteorological Society, 2019, pp.1-21. ⟨10.1002/qj.3537⟩
Quarterly Journal of the Royal Meteorological Society, Wiley, 2019, pp.1-21. ⟨10.1002/qj.3537⟩
Quarterly Journal of the Royal Meteorological Society, 2019, pp.1-21. ⟨10.1002/qj.3537⟩
International audience; We propose a method for representing spatially correlated observation errors in variational data assimilation. The method is based on the numerical solution of a diffusion equation, a technique commonly used for representing s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf1da7a78496a8eab11039fb7082154a
https://hal.archives-ouvertes.fr/hal-02160404
https://hal.archives-ouvertes.fr/hal-02160404
Publikováno v:
Optimization Methods and Software
Optimization Methods and Software, Taylor & Francis, 2020
HAL
Optimization Methods and Software, 2020
Optimization Methods and Software, Taylor & Francis, 2020
HAL
Optimization Methods and Software, 2020
International audience; This paper is concerned with the approximation of the solution of partial differential equations by means of artificial neural networks. Here a feedforward neural network is used to approximate the solution of the partial diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d731f2ff9bda90f12e91c49d084aa704
Publikováno v:
Numerical Linear Algebra with Applications. 23:865-887
Summary This paper presents a class of limited memory preconditioners (LMP) for solving linear systems of equations with symmetric indefinite matrices and multiple right-hand sides. These preconditioners based on limited memory quasi-Newton formulas
Publikováno v:
Numerical Linear Algebra with Applications. 23:501-518
A typical approach to decrease computational costs and memory requirements of classical algebraic multigrid methods is to replace a conservative coarsening algorithm and short-distance interpolation on a fixed number of fine levels by an aggressive c