In the last several years, there have been a number of advances in the accurate solution of eigenvalue problems. Many of the results have come from the realization that eigenvalue algorithms that exploit the structure of the problem can lead to more accurate eigenvalue and eigenvector computations. Well known examples include faster and more accurate methods for solving the symmetric tridiagonal eigenproblem, more accurate methods for computing the singular value decompostion, and further understanding of the conditioning theory for the non-symmetric eigenvalue problem.
To recognize these advances and to encourage further advances, we are proposing to have a special issue of Linear Algebra and Its Applications on Accurate Solution of Eigenvalue Problems.
This special issue is in coordination with the International Workshop on Accurate Solution of Eigenvalue Problems to be held in University Park, PA on July 20-23, 1998. The participants in the workshop will be strongly encouraged to submit papers to the special issue. Submissions are also welcome from non-participants as long as they are consistent with the themes of the workshop.
The editors for this special issue will be
Jesse L. Barlow
Department of Computer Science
The Pennsylvania State University
University Park, PA 16802-6106
Beresford N. Parlett
Department of Mathematics
University of California at Berkeley
Berkeley, CA 94720
Lehrgebeit Math. Physik
5800 Hagen, Germany
Please submit three (3) copies of your manuscript to the editor of your choice. Manuscripts submitted to this special issue will be refereed according to standard procedures for Linear Algebra and Its Applications. All papers for this special issue should be postmarked by November 1, 1998.