alexa Abstract | On Optimal Termination Rule for Primal-Dual Algorithm for Semi-Definite Programming

Advances in Applied Science Research
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In this article, we compare three previous termination rules for primal-dual short step pathfollowing algorithm for semi-definite programming proposed earlier by Monteiro, Adejo and Adejo and Singh independently, which were based on analyses carried out independently by Franklin and Singh et al for Karmarkar’s algorithm for linear programming, Here, we develop a more efficient termination rule which on implementation saves at least 95% iterations over that of Monteiro and at least 8% iterations over that of Adejo and Singh.

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Author(s): BO Adejo and E Ogala


Semi-definite, upper ceiling function, primal-dualmethods, path-following methods, NP-hard problems., primal-dual methods

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