Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification

Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models

(2019) Alexander Tarakanov et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Randomized Iterative Methods for Linear Systems

(2015) Robert M. Gower et al.   SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS

B-preconditioned minimization algorithms for variational data assimilation with the dual formulation

(2013) S. Gürol et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

A Practical Method to Estimate Information Content in the Context of 4D-Var Data Assimilation

(2013) K. Singh et al.   SIAM-ASA Journal on Uncertainty Quantification

Linear Least Squares Approach for Accurate Received Signal Strength Based Source Localization

(2011) Hing Cheung So et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review

(2010) Anjali Krishnan et al.   NEUROIMAGE

GMRES Methods for Least Squares Problems

(2010) Ken Hayami et al.   SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS

The Fast Johnson–Lindenstrauss Transform and Approximate Nearest Neighbors

(2009) Nir Ailon et al.   SIAM JOURNAL ON COMPUTING

On variants of the Johnson–Lindenstrauss lemma

(2008) Jiří Matoušek   RANDOM STRUCTURES & ALGORITHMS