This track invites presentations on topics of research emerging from statistical applications which involve the use of linear algebra methods. It is associated with the workshop of the ERCIM Working Group on "Matrix Computations and Statistics".  The track is especially concerned by the very large problems which necessitate the design of reliable and fast procedures. High Performance Computing including Parallel computing will be addressed.

Focus:

- Linear least squares problems
- Generalized inverse
- Singular Value Decomposition
- Eigenvalue problems
- Optimization
- Iterative methods
- Sparse matrix computations

Full paper will be considered for publication in the third special issue of CSDA on "Matrix Computations and Statistics".  The submissions must contain original unpublished work not being considered for publication elsewhere.  Submissions will be refereed according to standard procedures for Computational Science and Data Analysis.

Co-Chairs:

Bernard Philippe Campus de Beaulieu, 35042 Rennes cedex, France Tel:    +33 2 99 84 73 38 Fax :   +33 2 99 84 25 27 E-mail: philippe@irisa.fr	Erricos John Kontoghiorghes University of Cyprus, Nicosia, Cyprus, and Birkbeck College, Univ. of London, UK Tel: +357 22 892 485 Fax: +357 22 892460 E-mail: erricos@dcs.bbk.ac.uk
Jesse L. Barlow Department of Computer Science and Engineering The Pennsylvania State University University Park, PA 16802--6106 USA Tel:    +1 215 574 9232 Fax :   +1 814 865 3176 E-mail: barlow@cse.psu.edu