Lars Eldén

According to our database, Lars Eldén authored at least 30 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multiway Spectral Graph Partitioning: Cut Functions, Cheeger Inequalities, and a Simple Algorithm.

Lars Eldén

SIAM J. Matrix Anal. Appl., March, 2024

2022

Spectral partitioning of large and sparse 3-tensors using low-rank tensor approximation.

Lars Eldén, Maryam Dehghan

Numer. Linear Algebra Appl., 2022

A Krylov-Schur-like method for computing the best rank-(r₁, r₂, r₃) approximation of large and sparse tensors.

Lars Eldén, Maryam Dehghan

Numer. Algorithms, 2022

2020

Analyzing Large and Sparse Tensor Data using Spectral Low-Rank Approximation.

Lars Eldén, Maryam Dehghan

CoRR, 2020

Spectral Partitioning of Large and Sparse Tensors using Low-Rank Tensor Approximation.

Lars Eldén, Maryam Dehghan

CoRR, 2020

2019

Solving bilinear tensor least squares problems and application to Hammerstein identification.

Lars Eldén, Salman Ahmadi-Asl

Numer. Linear Algebra Appl., 2019

2014

Solving an Ill-Posed Cauchy Problem for a Two-Dimensional Parabolic PDE with Variable Coefficients Using a Preconditioned GMRES Method.

Zohreh Ranjbar, Lars Eldén

SIAM J. Sci. Comput., 2014

Best Kronecker Product Approximation of The Blurring Operator in Three Dimensional Image Restoration Problems.

Mansoor Rezghi, Seyed Mohammad Hosseini, Lars Eldén

SIAM J. Matrix Anal. Appl., 2014

2013

Computing Semantic Clusters by Semantic Mirroring and Spectral Graph Partitioning.

Lars Eldén, Magnus Merkel, Lars Ahrenberg, Martin Fagerlund

Math. Comput. Sci., 2013

2012

Solving Ill-Posed Linear Systems with GMRES and a Singular Preconditioner.

Lars Eldén, Valeria Simoncini

SIAM J. Matrix Anal. Appl., 2012

2011

Perturbation Theory and Optimality Conditions for the Best Multilinear Rank Approximation of a Tensor.

Lars Eldén, Berkant Savas

SIAM J. Matrix Anal. Appl., 2011

Data Mining, Networks and Dynamics (Dagstuhl Seminar 11451).

Lars Eldén, Andreas Frommer

Dagstuhl Reports, 2011

2010

3rd Special issue on matrix computations and statistics.

Jesse L. Barlow, Lars Eldén, Paolo Foschi

Comput. Stat. Data Anal., 2010

Computing Word Senses by Semantic Mirroring and Spectral Graph Partitioning.

Martin Fagerlund, Magnus Merkel, Lars Eldén, Lars Ahrenberg

Proceedings of TextGraphs@ACL 2010 Workshop on Graph-based Methods for Natural Language Processing, 2010

2009

A Newton-Grassmann Method for Computing the Best Multilinear Rank-(r_1, r_2, r₃₎ Approximation of a Tensor.

Lars Eldén, Berkant Savas

SIAM J. Matrix Anal. Appl., 2009

2007

Handwritten digit classification using higher order singular value decomposition.

Berkant Savas, Lars Eldén

Pattern Recognit., 2007

Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares.

Hyunsoo Kim, Haesun Park, Lars Eldén

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Matrix methods in data mining and pattern recognition.

Lars Eldén

Fundamentals of algorithms 4, SIAM, ISBN: 978-0-89871-626-9, 2007

2005

The maximum likelihood estimate in reduced-rank regression.

Lars Eldén, Berkant Savas

Numer. Linear Algebra Appl., 2005

2004

Partial least-squares vs. Lanczos bidiagonalization - I: analysis of a projection method for multiple regression.

Lars Eldén

Comput. Stat. Data Anal., 2004

2002

Adaptive Eigenvalue Computations Using Newton's Method on the Grassmann Manifold.

Eva Lundström, Lars Eldén

SIAM J. Matrix Anal. Appl., 2002

2000

Schur-Type Methods for Solving Least Squares Problems with Toeplitz Structure.

Haesun Park, Lars Eldén

SIAM J. Sci. Comput., 2000

Wavelet and Fourier Methods for Solving the Sideways Heat Equation.

Lars Eldén, Fredrik Berntsson, Teresa Reginska

SIAM J. Sci. Comput., 2000

1999

A Procrustes problem on the Stiefel manifold.

Lars Eldén, Haesun Park

Numerische Mathematik, 1999

1998

Approximating minimum norm solutions of rank-deficient least squares problems.

Achiya Dax, Lars Eldén

Numer. Linear Algebra Appl., 1998

1996

Fast computation of the principal singular vectors of Toeplitz matrices arising in exponential data modelling.

Lars Eldén, Eva Sjöström

Signal Process., 1996

1995

Downdating the Rank-Revealing URV Decomposition.

Haesun Park, Lars Eldén

SIAM J. Matrix Anal. Appl., 1995

1994

Block Downdating of Least Squares Solutions.

Lars Eldén, Haesun Park

SIAM J. Matrix Anal. Appl., July, 1994

Accurate Downdating of Least Squares Solutions.

Åke Björck, Haesun Park, Lars Eldén

SIAM J. Matrix Anal. Appl., April, 1994

Fast algorithms for exponential data modeling.

Haesun Park, Sabine Van Huffel, Lars Eldén

Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994