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Reliability analysis of high-dimensional models using low-rank tensor
  approximations

Reliability analysis of high-dimensional models using low-rank tensor approximations

28 June 2016
K. Konakli
Bruno Sudret
ArXiv (abs)PDFHTML

Papers citing "Reliability analysis of high-dimensional models using low-rank tensor approximations"

4 / 4 papers shown
Title
Polynomial meta-models with canonical low-rank approximations: numerical
  insights and comparison to sparse polynomial chaos expansions
Polynomial meta-models with canonical low-rank approximations: numerical insights and comparison to sparse polynomial chaos expansions
K. Konakli
Bruno Sudret
50
114
0
23 Nov 2015
A least-squares method for sparse low rank approximation of multivariate
  functions
A least-squares method for sparse low rank approximation of multivariate functions
M. Chevreuil
R. Lebrun
A. Nouy
Prashant Rai
63
103
0
30 Apr 2013
Metamodel-based importance sampling for structural reliability analysis
Metamodel-based importance sampling for structural reliability analysis
V. Dubourg
Francois Deheeger
Bruno Sudret
67
490
0
03 May 2011
A survey of cross-validation procedures for model selection
A survey of cross-validation procedures for model selection
Sylvain Arlot
Alain Celisse
222
3,600
0
27 Jul 2009
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