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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 l1-regularized logistic regression
logistic regression feature selection `1 regularization regularization path interiorpoint methods.
2015/8/10
Logistic regression with l1 regularization has been proposed as a promising method for feature selection in classification problems. In this paper we describe an efficient interior-point method for so...
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...
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression
logistic regression feature selection regularization regularization path
2015/7/10
Logistic regression with l1 regularization has been proposed as a promising method for feature selection in classification problems. In this paper we describe an efficient interior-point method for so...
An Interior-Point Method for Large Scale Network Utility Maximization
An Interior-Point Method Large Scale Network Utility Maximization
2015/7/10
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...
A new interior point method for nonlinear complementarity problem
Variational inequalities problem complementarity problem
2010/9/14
In this paper, we present a new method of interior point to solve a class of the nonlinear problem of complementarity inspired from a study introduced by Censor et al. This method is regarded as reduc...
Infeasible interior point method for semidefinite programs
Semidefinite programming primal-dual
2010/9/15
In Semidefinite programming one minimizes a linear function subject to the constraint that an affine combination of symmetric matrices is positive Semidefinite. Such a constraint is nonlinear and no s...