Interior point method

Known as: Interior-point method, Interior-point methods, Interior point methods 
Interior point methods (also referred to as barrier methods) are a certain class of algorithms that solves linear and nonlinear convex optimization… (More)
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1970-2017
05010019702017

Papers overview

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Highly Cited
2009
Highly Cited
2009
The nuclear norm (sum of singular values) of a matrix is often used in convex heuristics for rank minimization problems in… (More)
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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… (More)
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Highly Cited
2007
Highly Cited
2007
Recently, a lot of attention has been paid to l1 regularization based methods for sparse signal reconstruction (e.g., basis… (More)
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Highly Cited
2007
Highly Cited
2007
Logistic regression with `1 regularization has been proposed as a promising method for feature selection in classification… (More)
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Highly Cited
2006
Highly Cited
2006
We present a primal-dual interior-point algorithm with a filter line-search method for nonlinear programming. Local and global… (More)
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Highly Cited
2002
Highly Cited
2002
We investigate the use of interior-point methods for solving quadratic programming problems with a small number of linear… (More)
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Highly Cited
1998
Highly Cited
1998
We present a structured interior-point method for the efficient solution of the optimal control problem in model predictive… (More)
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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… (More)
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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… (More)
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1994
1994
We propose a new interior point based method to minimize a linear function of a matrix variable subject to linear equality and… (More)
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