Lars Eldén

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 8

Top Topics

Spectral Graph Partitioning

Top Venues

SIAM J. Matrix Anal. Appl.

Numer. Linear Algebra Appl.

Numer. Algorithms

Publications

Lars Eldén
Multiway Spectral Graph Partitioning: Cut Functions, Cheeger Inequalities, and a Simple Algorithm. SIAM J. Matrix Anal. Appl. 45 (1) (2024)
Lars Eldén
Multiway Spectral Graph Partitioning: Cut Functions, Cheeger Inequalities, and a Simple Algorithm. CoRR (2023)
Lars Eldén, Maryam Dehghan
Spectral partitioning of large and sparse 3-tensors using low-rank tensor approximation. Numer. Linear Algebra Appl. 29 (5) (2022)
Lars Eldén, Maryam Dehghan
) approximation of large and sparse tensors. Numer. Algorithms 91 (3) (2022)
Lars Eldén, Maryam Dehghan
Analyzing Large and Sparse Tensor Data using Spectral Low-Rank Approximation. CoRR (2020)
Lars Eldén, Maryam Dehghan
) approximation of large and sparse tensors. CoRR (2020)
Lars Eldén, Maryam Dehghan
Spectral Partitioning of Large and Sparse Tensors using Low-Rank Tensor Approximation. CoRR (2020)
Lars Eldén, Salman Ahmadi-Asl
Solving bilinear tensor least squares problems and application to Hammerstein identification. Numer. Linear Algebra Appl. 26 (2) (2019)
Mansoor Rezghi, Seyed Mohammad Hosseini, Lars Eldén
Best Kronecker Product Approximation of The Blurring Operator in Three Dimensional Image Restoration Problems. SIAM J. Matrix Anal. Appl. 35 (3) (2014)
Zohreh Ranjbar, Lars Eldén
Solving an Ill-Posed Cauchy Problem for a Two-Dimensional Parabolic PDE with Variable Coefficients Using a Preconditioned GMRES Method. SIAM J. Sci. Comput. 36 (5) (2014)
Lars Eldén, Magnus Merkel, Lars Ahrenberg, Martin Fagerlund
Computing Semantic Clusters by Semantic Mirroring and Spectral Graph Partitioning. Math. Comput. Sci. 7 (3) (2013)
Lars Eldén, Valeria Simoncini
Solving Ill-Posed Linear Systems with GMRES and a Singular Preconditioner. SIAM J. Matrix Anal. Appl. 33 (4) (2012)
Lars Eldén, Berkant Savas
Perturbation Theory and Optimality Conditions for the Best Multilinear Rank Approximation of a Tensor. SIAM J. Matrix Anal. Appl. 32 (4) (2011)
Lars Eldén, Andreas Frommer
Data Mining, Networks and Dynamics (Dagstuhl Seminar 11451). Dagstuhl Reports 1 (11) (2011)
Jesse L. Barlow, Lars Eldén, Paolo Foschi
3rd Special issue on matrix computations and statistics. Comput. Stat. Data Anal. 54 (12) (2010)
Martin Fagerlund, Magnus Merkel, Lars Eldén, Lars Ahrenberg
Computing Word Senses by Semantic Mirroring and Spectral Graph Partitioning. TextGraphs@ACL (2010)
Lars Eldén, Berkant Savas
Approximation of a Tensor. SIAM J. Matrix Anal. Appl. 31 (2) (2009)
Hyunsoo Kim, Haesun Park, Lars Eldén
Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares. BIBE (2007)
Berkant Savas, Lars Eldén
Handwritten digit classification using higher order singular value decomposition. Pattern Recognit. 40 (3) (2007)
Lars Eldén, Berkant Savas
The maximum likelihood estimate in reduced-rank regression. Numer. Linear Algebra Appl. 12 (8) (2005)
Lars Eldén
Partial least-squares vs. Lanczos bidiagonalization - I: analysis of a projection method for multiple regression. Comput. Stat. Data Anal. 46 (1) (2004)
Eva Lundström, Lars Eldén
Adaptive Eigenvalue Computations Using Newton's Method on the Grassmann Manifold. SIAM J. Matrix Anal. Appl. 23 (3) (2002)
Haesun Park, Lars Eldén
Schur-Type Methods for Solving Least Squares Problems with Toeplitz Structure. SIAM J. Sci. Comput. 22 (2) (2000)
Lars Eldén, Fredrik Berntsson, Teresa Reginska
Wavelet and Fourier Methods for Solving the Sideways Heat Equation. SIAM J. Sci. Comput. 21 (6) (2000)
Lars Eldén, Haesun Park
A Procrustes problem on the Stiefel manifold. Numerische Mathematik 82 (4) (1999)
Achiya Dax, Lars Eldén
Approximating minimum norm solutions of rank-deficient least squares problems. Numer. Linear Algebra Appl. 5 (2) (1998)
Lars Eldén, Eva Sjöström
Fast computation of the principal singular vectors of Toeplitz matrices arising in exponential data modelling. Signal Process. 50 (1-2) (1996)
Haesun Park, Lars Eldén
Downdating the Rank-Revealing URV Decomposition. SIAM J. Matrix Anal. Appl. 16 (1) (1995)
Åke Björck, Haesun Park, Lars Eldén
Accurate Downdating of Least Squares Solutions. SIAM J. Matrix Anal. Appl. 15 (2) (1994)
Lars Eldén, Haesun Park
Block Downdating of Least Squares Solutions. SIAM J. Matrix Anal. Appl. 15 (3) (1994)
Haesun Park, Sabine Van Huffel, Lars Eldén
Fast algorithms for exponential data modeling. ICASSP (4) (1994)