176 citations · 184 across the 7 of their papers we have counts for
3 papers · 1 filter
Tensor Approximation of Advanced Metrics for Sensitivity Analysis
Rafael Ballester-Ripoll, Enrique G. Paredes, Renato Pajarola
Following up on the success of the analysis of variance (ANOVA) decomposition and the Sobol indices (SI) for global sensitivity analysis, various related quantities of interest hav…
Sobol Tensor Trains for Global Sensitivity Analysis
Rafael Ballester-Ripoll, Enrique G. Paredes, Renato Pajarola
Sobol indices are a widespread quantitative measure for variance-based global sensitivity analysis, but computing and utilizing them remains challenging for high-dimensional system…
On best rank one approximation of tensors
S. Friedland, V. Mehrmann, R. Pajarola +1
In this paper we suggest a new algorithm for the computation of a best rank one approximation of tensors, called alternating singular value decomposition. This method is based on t…