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ＩＮＴＲＯＤＵＣＴＩＯＮＩｎｔｈｉｓｐａｐｅｒ,ｗｅｃｏｎｓｉｄｅｒｔｈｅｆｏｌｌｏｗｉｎｇｃｏｎ ｖｅｘｑｕａｄｒａｔｉｃｐｒｏｇｒａｍｍｉｎｇｍｉｎｆ(ｘ) =12 ｘＴＱｘ ｃＴｘｓ.ｔ.Ａｘ≤ｂ ,ｘ≥ 0( 1 )ｗｈｅｒｅｃ ,ｘａｒｅｎ ｖｅｃｔｏｒｓ,ｂｉｓａｎｍ ｖｅｃｔｏｒ,ＡｉｓａｍａｔｒｉｘａｎｄＱｉｓａｓｙｍｍｅｔｒｉｃｐｏｓｉｔｉｖｅｓｅｍｉ ｄｅｆｉｎｉｔｅｍ×ｎｍａｔｒｉｘ .Ｔｈｅｆｏｒｍｏｆ( 1 )ｄｏｅｓｎｏｔｌｏｓｅｇｅｎｅｒａｌｉｔｙ ,ｂｅｃａｕｓｅａｎｙｐｅｑｕａｌｉｔｙｃｏｎ ｓｔ… 相似文献
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Mehrotra's recent suggestion of a predictor-corrector variant of primal-dual interior-point method for linear programming is currently the interior-point method of choice for linear programming. In this work the authors give a predictor-corrector interior-point algorithm for monotone variational inequality problems. The algorithm was proved to be equivalent to a level-1 perturbed composite Newton method. Computations in the algorithm do not require the initial iteration to be feasible. Numerical results of experiments are presented. 相似文献
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