LSRN
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Software:21536
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Related Items (30)
Randomized numerical linear algebra: Foundations and algorithms ⋮ Optimal Low-rank Approximations of Bayesian Linear Inverse Problems ⋮ Semi-Infinite Linear Regression and Its Applications ⋮ Modified truncated randomized singular value decomposition (MTRSVD) algorithms for large scale discrete ill-posed problems with general-form regularization ⋮ Unnamed Item ⋮ Some Comments on Preconditioning for Normal Equations and Least Squares ⋮ Faster Kernel Ridge Regression Using Sketching and Preconditioning ⋮ Model order reduction with oblique projections for large scale wave propagation ⋮ Stochastic Reformulations of Linear Systems: Algorithms and Convergence Theory ⋮ Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems ⋮ Sketching for Principal Component Regression ⋮ Fast model-fitting of Bayesian variable selection regression using the iterative complex factorization algorithm ⋮ Kaczmarz-Type Inner-Iteration Preconditioned Flexible GMRES Methods for Consistent Linear Systems ⋮ Unbiased predictive risk estimation of the Tikhonov regularization parameter: convergence with increasing rank approximations of the singular value decomposition ⋮ Unnamed Item ⋮ Pass-Efficient Randomized Algorithms for Low-Rank Matrix Approximation Using Any Number of Views ⋮ Multiplicative perturbation bounds for multivariate multiple linear regression in Schatten \(p\)-norms ⋮ Incremental Regularized Least Squares for Dimensionality Reduction of Large-Scale Data ⋮ Tikhonov Regularization and Randomized GSVD ⋮ Compressed and Penalized Linear Regression ⋮ Randomized core reduction for discrete ill-posed problem ⋮ Preconditioning of Linear Least Squares by Robust Incomplete Factorization for Implicitly Held Normal Equations ⋮ Low-distortion subspace embeddings in input-sparsity time and applications to robust linear regression ⋮ Kaczmarz-Type Inner-Iteration Preconditioned Flexible GMRES Methods for Consistent Linear Systems ⋮ Unnamed Item ⋮ Randomized Algorithms for Matrices and Data ⋮ Sampled limited memory methods for massive linear inverse problems ⋮ Estimating Leverage Scores via Rank Revealing Methods and Randomization ⋮ Subdata selection algorithm for linear model discrimination ⋮ LSRN: A Parallel Iterative Solver for Strongly Over- or Underdetermined Systems
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