Solving NP-Hard Problem With The Semidefinite Programming Field
Abstract
In this paper we have study the solution to the Maximum Independent Set optimization problem in semidefinite programming field. In fact, a new approach has been developed to replace the penalty method with the augmented Lagrangian method according to the value of the parameter. Also, a combined method that switches between the two methods was developed called the combined method. The proposed three approaches of the augmented Lagrangian problem, and the penalty problem were studied for the linear programming (LP) problems. As a result, only two approaches were justified and approved as valid methods to be used for solving the SDP relaxations. Finally, Julia language was applied to obtain the numerical results.
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