Blendenpik: Supercharging LAPACK's Least-Squares Solver
Author:
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Applied Mathematics,Computational Mathematics
Link
http://epubs.siam.org/doi/pdf/10.1137/090767911
Reference12 articles.
1. Using Perturbed $QR$ Factorizations to Solve Linear Least-Squares Problems
2. Random projections for the nonnegative least-squares problem
3. Stopping Criteria for the Iterative Solution of Linear Least Squares Problems
4. Sampling Algorithms and Coresets for $\ell_p$ Regression
5. Fast linear algebra is stable
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