(Enter summary)
Abstract: This paper establishes the polynomialconvergence of the class of primal-dual feasible interiorpoint
algorithms for semidefinite programming (SDP) based on Monteiro and Zhang family of
search directions. In contrast to Monteiro and Zhang's work, no condition is imposed on the
scaling matrix that determines the search direction. We show that the polynomial iterationcomplexity
bounds of two well-known algorithms for linear programming, namely the short-step
path-following algorithm of Kojima et... (Update)
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BibTeX entry: (Update)
R. D. C. Monteiro. Polynomial convergence of primal-dual algorithms for semidefinite programming based on Monteiro and Zhang family of directions. Working paper, School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA, July 1996. http://citeseer.ist.psu.edu/article/monteiro97polynomial.html More
@article{ monteiro00polynomial,
author = "R. D. C. Monteiro and T. Tsuchiya",
title = "Polynomial Convergence of Primal-Dual Algorithms for the Second-Order Cone Program Based on the {MZ}-Family of Directions",
journal = "Mathematical Programming",
volume = "88(1)",
pages = "61--83",
year = "2000",
url = "citeseer.ist.psu.edu/article/monteiro97polynomial.html" }
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An interior-point method for semidefinite programming
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Primal-dual interior-point methods for semidefinite programm..
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Documents on the same site (http://www.isye.gatech.edu/~monteiro/iplist.html): More
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)
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A Superlinear Infeasible-Interior-Point Affine Scaling.. - Monteiro, Wright (1993)
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