Numerical linear algebra

Contact me for reprints.
Lars Eldén:
The Eigenvalues of the Google matrix.
Report LiTH-MAT-R--2004-01.

Lars Eldén and Berkant Savas:
The Maximum Likelihood Estimate in Reduced-Rank Regression.
Report LiTH-MAT-R-03-31.
Numerical Linear Algebra, to appear

Haesun Park and Lars Eldén:
Matrix Rank Reduction for Data Analysis and Feature Extraction.
University of Minnesota, Department of Computer science and Engineering, Report 03-15, 2003.
Handbook of Parallel Computing and Statistics, to appear.

Lars Eldén:
Partial Least Squares vs. Lanczos Bidiagonalization I: Analysis of a Projection Method for Multiple Regression.
Report LiTH-MAT-R-2002-24. Comput. Stat. Data Anal., to appear.

Lars Eldén:
Solving quadratically constrained least squares problems using a differential-geometric approach.
BIT 42 (2002), 323-335.
Abstract

Valeria Simoncini and Lars Eldén:
Inexact Rayleigh quotient-type methods for eigenvalue computations.
BIT 42(2002), 159-182.


Haesun Park and Lars Eldén:
Schur-type Methods for Solving Least Squares Problems with Toeplitz Structure.
SIAM J. Scient. Comput., 22:406-430, 2000.
Abstract

Eva Lundström and Lars Eldén
Adaptive Eigenvalue Computations Using Newton's Method on the Grassmann Manifold.
SIMAX 23(2002), 819-839.
Abstract

Lars Eldén and Haesun Park:
A Procrustes Problem on the Stiefel Manifold. Numerische Mathematik 82(1999), 599-619.
Abstract

Haesun Park and Lars Eldén:
Stability Analysis and Fast Algorithms for Triangularization of Toeplitz Matrices. Numerische Mathematik, 76(1997), pp. 383-402.
Abstract

Lars Eldén and Eva Sjöström:
Fast Computation of the Principal Singular Vectors of a Toeplitz Matrix, Signal Processing 50(1996), 151-164,

Lars Eldén and Haesun Park:
Perturbation and Error Analyses for Block Downdating of a Cholesky Decomposition, BIT 36(1996), 239-255

Lars Eldén and Haesun Park:
Perturbation analysis for block downdating of a Cholesky decomposition, Numerische Mathematik 68(1994), 457-467.
Abstract

Haesun Park and Lars Eldén:
Downdating the Rank-Revealing URV Decomposition, SIAM J. Matrix Anal. Appl. 16(1995), 138-155.
Abstract

Lars Eldén and Haesun Park:
Block Downdating of Least Squares Solutions, SIAM J. Matrix Anal. Appl. 15(1994), 1018-1034.
Abstract

Åke Björck , Haesun Park, and Lars Eldén:
Accurate Downdating of Least Squares Solutions, SIAM J. Matrix Anal. Appl. 15(1994), 549-568.
Abstract

Å. Björck and L. Eldén:
Methods in Numerical Algebra for Ill-posed Problems. Report LiTH-MAT-R-33-1979 (October 1979)
Paper, Abstract


L. Eldén
<laeld@mai.liu.se>
This page was last modified: Monday, 14-Mar-2005 11:41:44 MET