Loïc Giraldi
Computational Theory and Mathematics · 2013
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 13 citations into it
- Mechanics of Materials — 10 citations into it; #5,342 of 6,291 by trust here, #5,878 by citations
- Computational Mathematics — 9 citations into it; #532 of 612 by trust here, #569 by citations
- Computational Mechanics — 9 citations into it; #8,744 of 10,001 by trust here, #9,276 by citations
- Statistical and Nonlinear Physics — 8 citations into it
- Statistics and Probability — 7 citations into it
Whom Loïc Giraldi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anthony Nouy
- Pierre Ladevèze
- Ivan V. Oseledets
- Amine Ammar
- Martin Ostoja-Starzewski
- Francisco Chinesta
- Toufik Kanit
- Tamara G. Kolda
- Antonio Falcó
- Wolfgang Hackbusch
Who trusts Loïc Giraldi overall
Papers from Loïc Giraldi's perspective
Ordered by how strongly the researchers Loïc Giraldi trusts endorse each paper. Same corpus, a different order for every researcher.
- Tensor Decompositions and Applications
- Determination of the size of the representative volume element for random composites: statistical and numerical approach
- Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem
- A priori model reduction through Proper Generalized Decomposition for solving time-dependent partial differential equations
- A Multilinear Singular Value Decomposition
- Material spatial randomness: From statistical to representative volume element☆
- A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modeling of complex fluids
- Homogenization of the thermal properties of transpiration cooled multi-layer plates
- Proper Generalized Decompositions and Separated Representations for the Numerical Solution of High Dimensional Stochastic Problems
- On the verification of model reduction methods based on the proper generalized decomposition
Their papers
- Tensor-based methods for numerical homogenization from high-resolution images (2013) — 22 citations