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Highly Cited

2007

Highly Cited

2007

Recently, a lot of attention has been paid to regularization based methods for sparse signal reconstruction (e.g., basis pursuit… Expand

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Highly Cited

2007

Highly Cited

2007

Logistic regression with l1 regularization has been proposed as a promising method for feature selection in classification… Expand

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Highly Cited

2006

Highly Cited

2006

Abstract.We present a primal-dual interior-point algorithm with a filter line-search method for nonlinear programming. Local and… Expand

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Highly Cited

2003

Highly Cited

2003

Abstract. Based on the work of the Nesterov and Todd on self-scaled cones an implementation of a primal-dual interior-point… Expand

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Highly Cited

1999

Highly Cited

1999

The design and implementation of a new algorithm for solving large nonlinear programming problems is described. It follows a… Expand

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Highly Cited

1996

Highly Cited

1996

We propose a new interior-point-based method to minimize a linear function of a matrix variable subject to linear equality and… Expand

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Highly Cited

1994

Highly Cited

1992

Highly Cited

1992

This paper gives an approach to implementing a second-order primal-dual interior point method. It uses a Taylor polynomial of… Expand

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Highly Cited

1987

Highly Cited

1987

Written for specialists working in optimization, mathematical programming, or control theory. The general theory of path… Expand

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Highly Cited

1987

Highly Cited

1987

Preface Notation 1. Introduction. Linear Programming Primal-Dual Methods The Central Path A Primal-Dual Framework Path-Following… Expand

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