Convergence Analysis of an Inexact Infeasible Interior Point Method for Semidefinite Programming [PDF]
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Stefania Bellavia, Sandra Pieraccini
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Convergence Analysis of the Inexact Infeasible Interior-Point Method for Linear Optimization [PDF]
This article studies the use of a primal-dual interior point method for solving large scale linear programs. The article begins with a presentation of the background to this problem and an overview of the existing literature, including the use of Preconditioned Conjugate Gradients (PCG) for inexact infeasible path-following algorithms.
Al-Jeiroudi, G., Gondzio, J.
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An infeasible full NT-step interior point method for circular optimization
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Kheirfam, Behrouz, Wang, Guoqiang
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Detecting Infeasibility in Infeasible-Interior-Point Methods for Optimization [PDF]
Detecting Infeasibility in Infeasible-Interior-Point Methods for ...
Todd, M. J.
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An Infeasible-Interior-Point Potential-Reduction Algorithm for Linear Programming [PDF]
An Infeasible-Interior-Point Potential-Reduction Algorithm for Linear ...
Tutuncu, R.
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Polynomial Convergence of Infeasible-Interior-Point Methods Over Symmetric Cones [PDF]
Polynomial Convergence of Infeasible-Interior-Point Methods Over Symmetric ...
Rangarajan, B.
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A Full-Newton step infeasible-interior-point algorithm for P*(k)-horizontal linear complementarity problems [PDF]
In this paper we generalize an infeasible interior-point method for linear optimization to horizontal linear complementarity problem (HLCP). This algorithm starts from strictly feasible iterates on the central path of a perturbed problem that is
Asadi S., Mansouri H.
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Infeasible Interior-Point Methods for Linear Optimization Based on Large Neighborhood [PDF]
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Asadi, A.R. (author), Roos, C. (author)
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New complexity analysis of full Nesterov-Todd step infeasible interior point method for second-order cone optimization [PDF]
We present a full Nesterov-Todd (NT) step infeasible interior-point algorithm for second-order cone optimization based on a different way to calculate feasibility direction. In each iteration of the algorithm we use the largest possible barrier parameter
Kheirfam Behrouz
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Improved Full-Newton-Step Infeasible Interior-Point Method for Linear Complementarity Problems
We present an Infeasible Interior-Point Method for monotone Linear Complementarity Problem (LCP) which is an improved version of the algorithm given in [13]. In the earlier version, each iteration consisted of one feasibility step and few centering steps.
Goran Lešaja, Mustafa Ozen
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