Mathilde Chevreuil

Statistics and Probability · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 29 citations into it; #6,639 of 12,932 by trust here, #10,855 by citations
• Civil and Structural Engineering — 16 citations into it; #2,490 of 6,160 by trust here, #5,586 by citations
• Statistical and Nonlinear Physics — 14 citations into it; #4,603 of 10,127 by trust here, #8,981 by citations
• Computational Mechanics — 8 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Mechanics of Materials — 8 citations into it

Whom Mathilde Chevreuil trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Anthony Nouy
2. Dongbin Xiu
3. Antonio Falcó
4. O. L. Le Maître
5. Ivo Babuska
6. Tamara G. Kolda
7. Gregory J. Wagner
8. Alexander Düster
9. Franco Brezzi
10. Lionel Gendre

Who trusts Mathilde Chevreuil overall

1. Andrea Manzoni
2. F. Ghavamian
3. Alfio Maria Quarteroni
4. Paolo Tiso
5. Gianluigi Rozza
6. A. Simone

Papers from Mathilde Chevreuil's perspective

Ordered by how strongly the researchers Mathilde Chevreuil trusts endorse each paper. Same corpus, a different order for every researcher.

1. Uncertainty propagation using Wiener-Haar expansions
2. Tensor Decompositions and Applications
3. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
4. Coupling of atomistic and continuum simulations using a bridging scale decomposition
5. Fast Numerical Methods for Stochastic Computations: A Review (Communications in Computational Physics)
6. Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations
7. Applying the hp–d version of the FEM to locally enhance dimensionally reduced models
8. Discretization Methods and Iterative Solvers Based on Domain Decomposition (Lecture Notes in Computational Science and Engineering)
9. A least-squares approximation of partial differential equations with high-dimensional random inputs
10. An extended stochastic finite element method for solving stochastic partial differential equations on random domains

Their papers

• Model order reduction based on proper generalized decomposition for the propagation of uncertainties in structural dynamics (2012) — 74 citations
• A multiscale method with patch for the solution of stochastic partial differential equations with localized uncertainties (2013) — 57 citations