5th International Conference of the ERCIM WG on
COMPUTING & STATISTICS (ERCIM 2012)
1-3 December 2012, Conference Centre, Oviedo, Spain

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Matrix Computations, Algorithms and Parallelism


Description:

This track is concerned with topics of research emerging from applications which involve the use of linear algebra methods, optimization and parallel computing. Problems which necessitate the design of reliable and fast numerical procedures for problems which can directly or indirectly be useful in statistics are considered. The solution of large-scale linear systems of equations using High Performance Computing is addressed. Within this context it aims to be a forum for an exchange of ideas, insights and experiences in different areas of parallel computing in which matrix algorithms are employed. The track is associated with the past ERCIM Working Group on "Matrix Computations and Statistics" and aims to bring together experts and practitioners from diverse disciplines with a common interest in matrix computation. Topics of interest include, but are not limited to, the following:


  1. Matrix problems in statistics.
  2. Matrix methods for solving large sparse or dense linear systems of equations and eigenproblem.
  3. Large scale data analysis applications with emphasis on parallel matrix computations.
  4. Randomized algorithms in linear algebra.
  5. Large-scale scientific applications which have an emphasis on parallel matrix computation.
  6. Algorithmic engineering and complexity (matrix algorithms based on parallel models of computation)
  7. Parallel environments and tools for enabling matrix applications.


Full papers with a strong statistical computing or data analytic component can be submitted for publication in regular issues of the journal Computational Statistics and Data Analysis. Papers with a strong scientific computing and numerical linear algebra component can be submitted for publication in the International Journal of Computer Mathematics (Taylor & Francis). Manuscripts will undergo the standard peer-reviewing process of the journal.


Co-Chairs: