Rounding of convex sets and efficient gradient methods for linear programming problems
In this paper we propose new efficient gradient schemes for two non-trivial classes of linear programming problems. These schemes are designed to compute approximate solutions withrelative accuracy . We prove that the upper complexity bound for both ln schemes is O( n m ln n) iterations of a gradient-type method, where n and m, (n
|Date of creation:||00 Feb 2004|
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- NESTEROV, Yu, 2003. "Unconstrained convex minimization in relative scale," CORE Discussion Papers 2003096, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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