2008Computational Mathematics and Mathematical PhysicsRequires access

A primal interior point method for the linear semidefinite programming problem

M. S. Babynin, V. G. Zhadan

Open publisher page 10 citations

Abstract

The linear semidefinite programming problem is examined. A primal interior point method is proposed to solve this problem. It extends the barrier-projection method used for linear programs. The basic properties of the proposed method are discussed, and its local convergence is proved.

About this research paper

What this paper is about

The linear semidefinite programming problem is examined. A primal interior point method is proposed to solve this problem. It extends the barrier-projection method used for linear programs. The basic properties of the proposed method are discussed, and its local convergence is proved.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The linear semidefinite programming problem is examined. A primal interior point method is proposed to solve this problem. It extends the barrier-projection method used for linear programs. The basic properties of the proposed method are discussed, and its local convergence is proved.

Key concepts: Interior point method, Semidefinite programming, Mathematics, Linear programming, Semidefinite embedding, Mathematical optimization, Convergence (economics), Second-order cone programming

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