Matrix Computations and Statistics
Description:
This track concerns with topics of research emerging from statistical applications which involve the use of linear algebra methods, optimization and parallel computing. It is associated with the past 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 numerical procedures. The solution of large-scale linear system of equations using High Performance Computing is addressed.
Past ERCIM Working Group on Matrix Computations and Statistics and workshops.
Co-Chairs:
- Paolo Foschi, Univeristy of Bologna, Italy.
- Erricos John Kontoghiorghes, University of Cyprus and University of London, UK.
- Petko Yanev, University of Neuchatel, Switzerland.
Created by Computing & Statistics 2007