Blendenpik
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Related Items (49)
Randomized numerical linear algebra: Foundations and algorithms ⋮ Blendenpik: Supercharging LAPACK's Least-Squares Solver ⋮ Unnamed Item ⋮ Semi-Infinite Linear Regression and Its Applications ⋮ Unnamed Item ⋮ Simple backward error bounds for linear least-squares problems ⋮ Guarantees for the Kronecker fast Johnson-Lindenstrauss transform using a coherence and sampling argument ⋮ RidgeSketch: A Fast Sketching Based Solver for Large Scale Ridge Regression ⋮ Faster Kernel Ridge Regression Using Sketching and Preconditioning ⋮ Randomized LU decomposition ⋮ Faster least squares approximation ⋮ Stochastic Reformulations of Linear Systems: Algorithms and Convergence Theory ⋮ Paved with good intentions: analysis of a randomized block Kaczmarz method ⋮ Sketching for Principal Component Regression ⋮ Relations Among Some Low-Rank Subspace Recovery Models ⋮ The complexity of computing (almost) orthogonal matrices with \(\varepsilon\)-copies of the Fourier transform ⋮ An Effective Method for Parameter Estimation with PDE Constraints with Multiple Right-Hand Sides ⋮ Fast model-fitting of Bayesian variable selection regression using the iterative complex factorization algorithm ⋮ Toward a unified theory of sparse dimensionality reduction in Euclidean space ⋮ A Practical Randomized CP Tensor Decomposition ⋮ Kaczmarz-Type Inner-Iteration Preconditioned Flexible GMRES Methods for Consistent Linear Systems ⋮ Unnamed Item ⋮ Faster Subset Selection for Matrices and Applications ⋮ Unnamed Item ⋮ On spectral and numerical properties of random butterfly matrices ⋮ Fast randomized matrix and tensor interpolative decomposition using countsketch ⋮ 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 ⋮ Stochastic boundary methods of fundamental solutions for solving PDEs ⋮ Incremental Regularized Least Squares for Dimensionality Reduction of Large-Scale Data ⋮ The Fast Cauchy Transform and Faster Robust Linear Regression ⋮ Tikhonov Regularization and Randomized GSVD ⋮ Compressed and Penalized Linear Regression ⋮ Randomized core reduction for discrete ill-posed problem ⋮ Stochastic sampling for deterministic structural topology optimization with many load cases: density-based and ground structure approaches ⋮ A Fast Randomized Algorithm for Orthogonal Projection ⋮ Preconditioning of Linear Least Squares by Robust Incomplete Factorization for Implicitly Held Normal Equations ⋮ Tikhonov regularization with MTRSVD method for solving large-scale discrete ill-posed problems ⋮ Multiway Monte Carlo Method for Linear Systems ⋮ Kaczmarz-Type Inner-Iteration Preconditioned Flexible GMRES Methods for Consistent Linear Systems ⋮ Unnamed Item ⋮ Randomized Algorithms for Matrices and Data ⋮ The Effect of Coherence on Sampling from Matrices with Orthonormal Columns, and Preconditioned Least Squares Problems ⋮ Sampled limited memory methods for massive linear inverse problems ⋮ Randomized Extended Kaczmarz for Solving Least Squares ⋮ Fast and memory-optimal dimension reduction using Kac's walk ⋮ Randomized Approximation of the Gram Matrix: Exact Computation and Probabilistic Bounds ⋮ Estimating Leverage Scores via Rank Revealing Methods and Randomization ⋮ LSRN: A Parallel Iterative Solver for Strongly Over- or Underdetermined Systems
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