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

PRESENTATIONS ordered alphabetcally.

• M. Arioli, C. Bertoluzza, and L. Villani:
  Least Squares Methods in a Fuzzy Context
  Abstract
• Jesse L. Barlow, Peter A. Yoon, and Hongyuan Zha:
  An Algorithm and a Stability Theory for Downdating the ULV Decomposition
  Abstract, Talk
• C. G. Broyden and M. A. Boschetti:
  The application of the Biconjugate Residual algorithm to least-squares problems
  Abstract
• Bart L.R. De Moor:
  Weighted and Structured Total Least Squares and Riemannian SVDs
  Abstract
• Iain S Duff:
  The use of augmented systems in the solution of linear least-squares problems
  Abstract
• 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
  Abstract
• Jerry Eriksson and Per-Åke Wedin:
  Methods for almost rank deficient nonlinear least squares problems.
  Abstract
• Anders Forsgren:
  On linear least-squares problems with diagonally dominant weight matrices
  Abstract
• Walter Gander, Gene H. Golub, Rolf Strebel:
  Fitting of Circles and Ellipses, Least Squares Solution
  Abstract, Report, "http://www.inf.ethz.ch/department/publications/tr.html" Original Location, "ftp://ftp.inf.ethz.ch/doc/tech-reports/1994/217.matlab.tar" Matlab source
• Gene H. Golub:
  Method of moments and statistical computations
  Abstract, Talk
• S. Gratton, J.C. Bergès and V. Frayssé:
  Least Squares Problems in Aerospace Industry
  Abstract
• Martin Hanke:
  Regularization by Conjugate Gradients Abstract
• Nicholas J. Higham:
  Recent Results on the Accuracy and Stability of Least Squares Solvers
  Abstract, Slides
• Jose M. Jimenez and Iain S. Duff:
  A Projection Method for the Solution of Linear Least-Squares Problems
  Abstract, Slides
• Ebrahim M. Kasenally and Valeria Simoncini:
  Analysis of a minimum perturbation algorithm for nonsymmetric linear systems
  Abstract
• Linda Kaufman and Arnold Neumaier:
  Image Reconstuction through Regularization by Envelope Guided Conjugate Gradients
  Abstract, Slides
• V. N. Kublanovskaya:
  The Least Squares Method for Matrices Depending on Parameters
  Abstract
• 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
  Abstract
• Ming Gu:
  Efficient Computation of the Singular Value Decomposition with Applications to Least Squares Problems
  Abstract
• Michael Neumann:
  Bounds on the Subdominant Eigenvalue involving Group Inverses and Applications
  Abstract
• J. K. Reid:
  Infinite weights in the Powell-Reid method for linear least squares problems
  Abstract
• C C Paige:
  Krylov Subspaces and Iteration Polynomials
  Abstract
• Haesun Park and Sabine Van Huffel:
  Total Least Norm Formulation and Solution for Structured Problems in Signal Processing
  Abstract, Talk
• Mike Saunders:
  Sparse Least Squares with Regularization
  Abstract, Talk
• Hubert Schwetlick and Stefan Schleiff:
  A Feasible Point Trust Region Method for Equality Constrained Nonlinear Least Squares Problems
  Abstract
• Trond Steihaug:
  An Inexact Gauss-Newton Approach to mildly nonlinear problems
  Abstract, Talk
• G. W. Stewart:
  Graded Matrices, Schur Complements, and Projections
  Abstract, Slides
• Zdenek Strakos:
  GMRES Method is Backward Stable
  Abstract, Slides
• Ji-guang Sun:
  On the Variation of the Spectrum of a Normal Matrix
  Abstract, Talk
• Otu Vaarman:
  On Solving Nonlinear Equations in Least Squares Sense
  Abstract
• Charles Van Loan:
  Matrices With Kronecker Product Blocks
  Abstract
• Sabine Van Huffel, Jie Liang and Paul Casaer:
  Accurate quantification of Near Infrared Spectroscopy data in newborn infants.
  Abstract, Slides I, Slides II
• Jim Varah:
  Data Fitting by Implicit Functions
  Abstract
• Bertil Waldén, Rune Karlson and Ji-guang Sun:
  Optimal Backward Perturbation Bounds for the Linear Least Squares Problem
  Abstract