On Lagrangian duality gap of quadratic fractional programming with a two-sided quadratic constraint

On Lagrangian duality gap of quadratic fractional programming with a two-sided quadratic constraint
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具有双边二次约束的二次分数规划的拉格朗日对偶间隙

DOI:
10.1007/s11590-018-1320-4
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发表时间:
2018-08
影响因子:
1.6
通讯作者:
Yong Xia
Yong Xia
中科院分区:
数学4区
文献类型:
--
作者:
Meijia Yang;Yong Xia

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对于具有双边二次约束的二次规划,强拉格朗日对偶性成立。在本文中,我们证明了双边二次约束二次分式规划,如果尺度良好,也有零拉格朗日对偶间隙。然而,如果不进行缩放,这并不总是正确的。对于一种特殊情况--恒等式正则化总体最小二乘问题,我们建立了拉格朗日对偶间隙为正的充要条件。
Strong Lagrangian duality holds for the quadratic programming with a two-sided quadratic constraint. In this paper, we show that the two-sided quadratic constrained quadratic fractional programming, if well scaled, also has zero Lagrangian duality gap. However, this is not always true without scaling. For a special case, the identical regularized total least squares problem, we establish the necessary and sufficient condition under which the Lagrangian duality gap is positive.
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