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An interior point method for large-scale l1-regularized least squares
Sparse signal the compressed sensing signal processing statistics least squares procedure
2015/8/10
Recently, a lot of attention has been paid to l1 regularization based methods for sparse signal reconstruction (e.g., basis pursuit denoising and compressed sensing) and feature selection (e.g., the L...
An interior-point method for large-scale network utility maximization
Newton the interior point networks concave utility functions disperse method dual decomposition algorithm
2015/8/10
We describe a specialized truncated Newton primal-dual interior-point method that solves large scale network utility maximization problems, with concave utility functions, efficiently and reliably. Ou...