Lars Eldén - researchr alias

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Viewing Publication 1 - 27 from 27

2024

Multiway Spectral Graph Partitioning: Cut Functions, Cheeger Inequalities, and a Simple AlgorithmLars Eldén. siammax, 45(1):112-133, March 2024. [doi]

2022

3) approximation of large and sparse tensorsLars Eldén, Maryam Dehghan. na, 91(3):1315-1347, 2022. [doi]

Spectral partitioning of large and sparse 3-tensors using low-rank tensor approximationLars Eldén, Maryam Dehghan. nla, 29(5), 2022. [doi]

2019

Solving bilinear tensor least squares problems and application to Hammerstein identificationLars Eldén, Salman Ahmadi-Asl. nla, 26(2), 2019. [doi]

2014

Solving an Ill-Posed Cauchy Problem for a Two-Dimensional Parabolic PDE with Variable Coefficients Using a Preconditioned GMRES MethodZohreh Ranjbar, Lars Eldén. siamsc, 36(5), 2014. [doi]

Best Kronecker Product Approximation of The Blurring Operator in Three Dimensional Image Restoration ProblemsMansoor Rezghi, Seyed Mohammad Hosseini, Lars Eldén. siammax, 35(3):1086-1104, 2014. [doi]

2013

Computing Semantic Clusters by Semantic Mirroring and Spectral Graph PartitioningLars Eldén, Magnus Merkel, Lars Ahrenberg, Martin Fagerlund. mics, 7(3):293-313, 2013. [doi]

2012

Solving Ill-Posed Linear Systems with GMRES and a Singular PreconditionerLars Eldén, Valeria Simoncini. siammax, 33(4):1369-1394, 2012. [doi]

2011

Data Mining, Networks and Dynamics (Dagstuhl Seminar 11451)Lars Eldén, Andreas Frommer. dagstuhl-reports, 1(11):23-38, 2011. [doi]

Perturbation Theory and Optimality Conditions for the Best Multilinear Rank Approximation of a TensorLars Eldén, Berkant Savas. siammax, 32(4):1422-1450, 2011. [doi]

2010

3rd Special issue on matrix computations and statisticsJesse Barlow, Lars Eldén, Paolo Foschi. csda, 54(12):3379-3380, 2010. [doi]

Computing Word Senses by Semantic Mirroring and Spectral Graph PartitioningMartin Fagerlund, Magnus Merkel, Lars Eldén, Lars Ahrenberg. textgraphs 2010: 103-107 [doi]

2009

A Newton-Grassmann Method for Computing the Best Multilinear Rank-(r::1, :: r::2, :: r::3):: Approximation of a TensorLars Eldén, Berkant Savas. siammax, 31(2):248-271, 2009. [doi]

2007

Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least SquaresHyunsoo Kim, Haesun Park, Lars Eldén. bibe 2007: 1147-1151 [doi]

Handwritten digit classification using higher order singular value decompositionBerkant Savas, Lars Eldén. PR, 40(3):993-1003, 2007. [doi]

2005

The maximum likelihood estimate in reduced-rank regressionLars Eldén, Berkant Savas. nla, 12(8):731-741, 2005. [doi]

2004

Partial least-squares vs. Lanczos bidiagonalization - I: analysis of a projection method for multiple regressionLars Eldén. csda, 46(1):11-31, 2004. [doi]

2002

Adaptive Eigenvalue Computations Using Newton's Method on the Grassmann ManifoldEva Lundström, Lars Eldén. siammax, 23(3):819-839, 2002. [doi]

2000

Wavelet and Fourier Methods for Solving the Sideways Heat EquationLars Eldén, Fredrik Berntsson, Teresa Reginska. siamsc, 21(6):2187-2205, 2000. [doi]

Schur-Type Methods for Solving Least Squares Problems with Toeplitz StructureHaesun Park, Lars Eldén. siamsc, 22(2):406-430, 2000. [doi]

1999

A Procrustes problem on the Stiefel manifoldLars Eldén, Haesun Park. nm, 82(4):599-619, 1999. [doi]

1998

Approximating minimum norm solutions of rank-deficient least squares problemsAchiya Dax, Lars Eldén. nla, 5(2):79-99, 1998. [doi]

1996

Fast computation of the principal singular vectors of Toeplitz matrices arising in exponential data modellingLars Eldén, Eva Sjöström. sigpro, 50(1-2):151-164, 1996. [doi]

1995

Downdating the Rank-Revealing URV DecompositionHaesun Park, Lars Eldén. siammax, 16(1):138-155, 1995. [doi]

1994

Block Downdating of Least Squares SolutionsLars Eldén, Haesun Park. siammax, 15(3):1018-1034, July 1994. [doi]

Fast algorithms for exponential data modelingHaesun Park, Sabine Van Huffel, Lars Eldén. icassp 1994: 25-28 [doi]

Accurate Downdating of Least Squares SolutionsÅke Björck, Haesun Park, Lars Eldén. siammax, 15(2):549-568, April 1994. [doi]

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