(Enter summary)
Abstract: This paper establishes the polynomial convergence of a new class of primal-dual interior-point
path following feasible algorithms for semidefinite programming (SDP) whose search directions
are obtained by applying Newton method to the symmetric central path equation
(PXP
T
)
1=2
(P
\GammaT
SP
\Gamma1
)(P XP
T
)
1=2
\Gamma ¯I = 0;
where P is a nonsingular matrix. Specifically, we show that the short-step path following
algorithm based on the Frobenius norm neighborhood and the... (Update)
Context of citations to this paper: More
...Monteiro y and Paulo R. Zanj acomo y July 10, 1997 Revised on August 4, 1997 Abstract Monteiro and Tsuchiya [23] have proposed two primal dual Newton directions for semidefinite programming, referred to as the MT directions, and established polynomial convergence of path...
...and some serious solvers (for example, Borchers [6] and Fujisawa and Kojima [11] use this direction only. 1.2. The MT Direction. Monteiro and Tsuchiya [24] apply Newton s method to the system obtained from (3) 6) by replacing (6) with 0. The resulting direction is guaranteed...
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20: Primal-dual interior-point methods for semidefinite programming
- Alizadeh, Haeberly et al. - 1994
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BibTeX entry: (Update)
R. Monteiro and T. Tsuchiya. Polynomial Convergence of a New Family of Primal-Dual Algorithms for Semidefinite Programming. Technical Report 627, The Institute of Statistical Mathematics, 4-6-7 Minami-Azabu, Minato-ku, Tokyo 106, Japan, November 1996. http://citeseer.ist.psu.edu/article/monteiro98polynomial.html More
@article{ monteiro99polynomial,
author = "R. D. C. Monteiro and T. Tsuchiya",
title = "Polynomial Convergence of a New Family of Primal-Dual Algorithms for Semidefinite Programming",
journal = "SIAM Journal on Optimization",
volume = "9(3)",
pages = "551--577",
year = "1999",
url = "citeseer.ist.psu.edu/article/monteiro98polynomial.html" }
Citations (may not include all citations):
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Interior point methods in semidefinite programming with appl..
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173
An interior-point method for semidefinite programming
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146
Primal-dual interior-point methods for semidefinite programm..
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Primal-dual interior-point methods for self-scaled cones
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A primal-dual potential reduction method for problems involv..
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On adaptive step primal--dual interior--point algorithms for.. (context) - Mizuno, Todd et al. - 1993
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Interior-point methods for the monotone semidefinite linear .. (context) - Kojima, Shindoh et al. - 1997
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A polynomial-time algorithm for a class of linear complement.. (context) - Kojima, Mizuno et al. - 1989
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An interior-point method for minimizing the maximum eigenval.. (context) - Jarre - 1993
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A superlinearly convergent primal-dual infeasible-interior-p..
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Polynomial convergence of primal-dual algorithms for semidef..
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On extending some primal--dual interior--point algorithms fr..
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Local convergence of predictor-corrector infeasibleinterior ..
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Complexity of an algorithm for finding an approximate soluti.. (context) - Freund - 1994
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Search directions and convergence analysis of some infeasibl..
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A predictor-corrector method for semi-definite programming (context) - Lin, Saigal - 1995
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Implementation of primal-dual methods for semidefinite progr..
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The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.isye.gatech.edu/~monteiro/iplist.html): More
Polynomial Convergence of Primal-Dual Algorithms for.. - Monteiro (1997)
(Correct)
A Potential Reduction Newton Method for Constrained Equations - Monteiro, Pang (1999)
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Polynomiality of Primal-Dual Algorithms for Semidefinite.. - Monteiro, Tsuchiya (1997)
(Correct)
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