Accelerating the Lawson-Hanson NNLS solver for large-scale Tchakaloff regression designs
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Publication:6555446
DOI10.14658/pupj-drna-2020-1-3zbMATH Open1540.65586MaRDI QIDQ6555446
Marco Vianello, Fabio Marcuzzi, Monica Dessole
Publication date: 14 June 2024
Published in: Dolomites Research Notes on Approximation (Search for Journal in Brave)
nonnegative least squaressparse recoveryLawson-Hanson active set methodnear-optimal regression designsTchakaloff compression
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Parallel numerical computation (65Y05)
Cites Work
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- Direct solution of piecewise linear systems
- A mathematical introduction to compressive sensing
- Uniform approximation by discrete least squares polynomials
- Approximate optimal designs for multivariate polynomial regression
- On the convergence of optimal measures
- Fully iterative ILU preconditioning of the unsteady Navier-Stokes equations for GPGPU
- Efficient Parallel Nonnegative Least Squares on Multicore Architectures
- The Equivalence of Two Extremum Problems
- A Comparison of Block Pivoting and Interior-Point Algorithms for Linear Least Squares Problems with Nonnegative Variables
- A note on Tchakaloff’s Theorem
- The extremal function for the complex ball for generalized notions of degree and multivariate polynomial approximation
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