A primal interior point method for the linear semidefinite programming problem
M. S. Babynin, V. G. Zhadan
Abstract
M. S. Babynin, V. G. Zhadan
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.
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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