relation: https://pure.iiasa.ac.at/id/eprint/4194/ title: Parallel Solution of Linear Programs Via Nash Equilibria creator: Kallio, M.J. creator: Ruszczynski, A. description: The linear programming problem is shown to be equivalent to a game in which primal players minimize the augmented Lagrangian function for the primal problem and dual players maximize the augmented Lagrangian function for the dual problem. Based on that, a parallel solution method is developed in which processors carry out under-relaxed Jacobi steps for the players. Strong convergence of the method is proved and the ratio of linear convergence estimated. Computational results are highly encouraging. publisher: WP-94-015 date: 1994-03 type: Monograph type: NonPeerReviewed format: text language: en identifier: https://pure.iiasa.ac.at/id/eprint/4194/1/WP-94-015.pdf identifier: Kallio, M.J. & Ruszczynski, A. (1994). Parallel Solution of Linear Programs Via Nash Equilibria. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-94-015