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Efficient Parallel Nonnegative Least Squares on Multicore Architectures

https://doi.org/10.1137/100799083
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1099-128x(199709/10)11:5<393::aid-cem483>3.0.co;2-lopenalex-snapshot
A fast non-negativity-constrained least squares algorithm
inferredcites →https://doi.org/10.1002/cem.889openalex-snapshot
Fast algorithm for the solution of large‐scale non‐negativity‐constrained least squares problems
inferredcites →https://doi.org/10.1002/nla.502openalex-snapshot
An interior point Newton‐like method for non‐negative least‐squares problems with degenerate solution
inferredcites →https://doi.org/10.1007/11556121_50openalex-snapshot
Sequential Coordinate-Wise Algorithm for the Non-negative Least Squares Problem
inferredcites →https://doi.org/10.1007/bf01389431openalex-snapshot
QR factorization of Toeplitz matrices
inferredcites →https://doi.org/10.1016/0024-3795(87)90101-7openalex-snapshot
Stability analysis of the method of seminormal equations for linear least squares problems
inferredcites →https://doi.org/10.1016/j.laa.2003.11.024openalex-snapshot
On reduced rank nonnegative matrix factorization for symmetric nonnegative matrices
inferredcites →https://doi.org/10.1038/sj.jors.2600425openalex-snapshot
Nonlinear Programming
inferredcites →https://doi.org/10.1109/jstsp.2007.910971openalex-snapshot
An Interior-Point Method for Large-Scale -Regularized Least Squares
inferredcites →https://doi.org/10.1137/0730089openalex-snapshot
FFT-Based Preconditioners for Toeplitz-Block Least Squares Problems
inferredcites →https://doi.org/10.1137/1.9781611971217openalex-snapshot
Solving Least Squares Problems
inferredcites →https://doi.org/10.5555/1413370.1413402openalex-snapshot
Benchmarking GPUs to tune dense linear algebra

What points at this work

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Fast Active-Set Thresholding Method for Nonnegative Least Squares
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