Citation Impact
Citing Papers
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The discrete picard condition for discrete ill-posed problems
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Stochastic space-time weather models from ground-based data
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Robust Solutions to Least-Squares Problems with Uncertain Data
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A bidiagonalization algorithm for solving large and sparse ill-posed systems of linear equations
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Gas Adsorption Characterization of Ordered Organic−Inorganic Nanocomposite Materials
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Atomic Decomposition by Basis Pursuit
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The Geometry of Algorithms with Orthogonality Constraints
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The power and Arnoldi methods in an algebra of circulants
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Construction of a 1961–1990 European climatology for climate change modelling and impact applications
1995
Tensor Decompositions and Applications
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Solving Ill-Conditioned and Singular Linear Systems: A Tutorial on Regularization
1998
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Works of Lars Eldén being referenced
Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms)
2007
A weighted pseudoinverse, generalized singular values, and constrained least squares problems
1982
Algorithms for the regularization of ill-conditioned least squares problems
1977
Diagonalization of tensors with circulant structure
2011
Handwritten digit classification using higher order singular value decomposition
2006
Numerical linear algebra in data mining
2006
Partial least-squares vs. Lanczos bidiagonalization—I: analysis of a projection method for multiple regression
2003
Perturbation Theory for the Least Squares Problem with Linear Equality Constraints
1980
An Application of Systolic Arrays to Linear Discrete Ill-Posed Problems
1986
Krylov-type methods for tensor computations I
2011
An Algorithm for the Regularization of Ill-Conditioned, Banded Least Squares Problems
1984
Adaptive Eigenvalue Computations Using Newton's Method on the Grassmann Manifold
2002
A note on the computation of the generalized cross-validation function for ill-conditioned least squares problems
1984
Matrix Methods in Data Mining and Pattern Recognition
2007
A Procrustes problem on the Stiefel manifold
1999
A Newton–Grassmann Method for Computing the Best Multilinear Rank-$(r_1,$ $r_2,$ $r_3)$ Approximation of a Tensor
2009