LEAST SQUARES METHODS:
Theory, Algorithms and Applications
Linköping University
January 9-10, 1995

ABSTRACTS OF INVITED PAPERS

Iain S Duff:

The use of augmented systems in the solution of linear least-squares problems

Gene H. Golub:

Method of moments and statistical computations

C C Paige:

Krylov Subspaces and Iteration Polynomials.

Haesun Park:

Total Least Norm Formulation and Solution for Structured Problems in Signal Processing.

Mike Saunders:

Sparse Least Squares with Regularization

G. W. Stewart:

Graded Matrices, Schur Complements, and Projections

Charles Van Loan:

Matrices With Kronecker Product Blocks

Jim Varah:

Data Fitting by Implicit Functions