Interior proximal point algorithm for linear programs
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Abstract
An interior proximal point algorithm for finding a solution of a linear program is presented. The distinguishing feature of this algorithm is the addition of a quadratic proximal term to the linear objective function. This perturbation has allowed us to obtain solutions with better feasibility. Implementation of this algorithm shows that the algorithms. We also establish global convergence and local linear convergence of the algorithm.
Key Words
Linear programming interior point method proximal point method Newton methodPreview
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References
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© Plenum Publishing Corporation 1992