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

ABSTRACTS OF CONTRIBUTED PAPERS

M. Arioli, C. Bertoluzza, and L. Villani:

Least Squares Methods in a Fuzzy Context

Jesse L. Barlow, Peter A. Yoon, and Hongyuan Zha:

An Algorithm and a Stability Theory for Downdating the ULV Decomposition

C. G. Broyden and M. A. Boschetti:

The application of the Biconjugate Residual algorithm to least-squares problems

Bart L.R. De Moor:

Weighted and Structured Total Least Squares and Riemannian SVDs

Erik Elmroth and Bo Kågström:

The Set of 2-by-3 Matrix Pencils - Kronecker Structures and their Transitions under Perturbations - and Versal Deformations of Matrix Pencils

Jerry Eriksson and Per-Åke Wedin:

Methods for almost rank deficient nonlinear least squares problems.

Anders Forsgren:

On linear least-squares problems with diagonally dominant weight matrices

Walter Gander, Gene H. Golub, Rolf Strebel:

Fitting of Circles and Ellipses, Least Squares Solution

S. Gratton, J.C. Bergès and V. Frayssé:

Least Squares Problems in Aerospace Industry

Martin Hanke:

Regularization by Conjugate Gradients

Nicholas J. Higham:

Recent Results on the Accuracy and Stability of Least Squares Solvers

Jose M. Jimenez and Iain S. Duff:

A Projection Method for the Solution of Linear Least-Squares Problems

Ebrahim M. Kasenally and Valeria Simoncini:

Analysis of a minimum perturbation algorithm for nonsymmetric linear systems

Linda Kaufman and Arnold Neumaier:

Image Reconstuction through Regularization by Envelope Guided Conjugate Gradients

V. N. Kublanovskaya:

The Least Squares Method for Matrices Depending on Parameters

Le Thi Hoai An and Pham Dinh Tao:

Globally Minimizing Quadratic Forms on Eucliean Balls and Spheres by Algorithms for D.C. (Difference of Convex Functions) Optimization

Ming Gu:

Efficient Computation of the Singular Value Decomposition with Applications to Least Squares Problems

Michael Neumann:

Bounds on the Subdominant Eigenvalue involving Group Inverses and Applications

J. K. Reid:

Infinite weights in the Powell-Reid method for linear least squares problems

Hubert Schwetlick and Stefan Schleiff:

A Feasible Point Trust Region Method for Equality Constrained Nonlinear Least Squares Problems

Trond Steihaug:

An Inexact Gauss-Newton Approach to mildly nonlinear problems

Zdenek Strakos:

GMRES Method is Backward Stable

Ji-guang Sun:

On the Variation of the Spectrum of a Normal Matrix

Otu Vaarman:

On Solving Nonlinear Equations in Least Squares Sense

Sabine Van Huffel, Jie Liang and Paul Casaer:

Accurate quantification of Near Infrared Spectroscopy data in newborn infants.

Bertil Waldén, Rune Karlson and Ji-guang Sun:

Optimal Backward Perturbation Bounds for the Linear Least Squares Problem