Abstract
The relaxation method for linear inequalities is studied and new bounds on convergence obtained. An asymptotically tight estimate is given for the case when the inequalities are processed in a cyclical order. An improvement of the estimate by an order of magnitude takes place if strong underrelaxation is used. Bounds on convergence usually involve the so-called condition number of a system of linear inequalities, which we estimate in terms of their coefficient matrix.
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Mandel, J. Convergence of the cyclical relaxation method for linear inequalities. Mathematical Programming 30, 218–228 (1984). https://doi.org/10.1007/BF02591886
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DOI: https://doi.org/10.1007/BF02591886