A Partial Condition Number for Linear Least Squares Problems, SIAM Journal on Matrix Analysis and Applications, vol.29, issue.2, pp.413-433, 2007. ,
DOI : 10.1137/050643088
Computing the conditioning of the components of a linear least squares solution. Numerical Linear Algebra with Applications, pp.517-533, 2009. ,
Some issues in dense linear algebra for multicore and special purpose architectures, 9th International Workshop on State-of-the-Art in Scientific and Parallel Computing (PARA'08), volume 6126-6127 of Lecture Notes in Computer Science, 2008. ,
Parallel tools for solving incremental dense least squares problems: application to space geodesy, Journal of Algorithms & Computational Technology, vol.31, issue.1, pp.177-133, 2009. ,
DOI : 10.1260/174830109787186541
Statistical Estimates for the Conditioning of Linear Least Squares Problems, Proceedings of 10th International Conference on Parallel Processing and Applied Mathematics, p.2013, 2013. ,
DOI : 10.1007/978-3-642-55224-3_13
URL : https://hal.archives-ouvertes.fr/hal-00991710
Numerical Methods for Least Squares Problems, SIAM, 1996. ,
DOI : 10.1137/1.9781611971484
Statistical Condition Estimation for Linear Least Squares, SIAM Journal on Matrix Analysis and Applications, vol.19, issue.4, pp.906-923, 1998. ,
DOI : 10.1137/S0895479895291935
LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares, ACM Transactions on Mathematical Software, vol.8, issue.1, pp.43-71, 1982. ,
DOI : 10.1145/355984.355989
Towards dense linear algebra for hybrid GPU accelerated manycore systems, Parallel Computing, vol.36, issue.5-6, pp.232-240, 2010. ,
DOI : 10.1016/j.parco.2009.12.005
Linear estimation and related topics, Survey of numerical analysis, pp.558-584, 1962. ,