并且证明了拉格朗日对偶界与通过凸松弛得到的下界是相等的；

We prove that the Lagrangian dual bound is identical to the lower bound obtained by convex relaxation.

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证明了K一致光滑与K一致凸是对偶性质，得到了K一致光滑空间的一些性质；并导出了K一致光滑空间是K强光滑的。

It proves that K _uniformly smooth property and K _uniformly rotund are dual properties, and that some properties as the K _uniformly smooth Spaces are K _strongly smooth Spaces.

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该参数优化算法可在对偶松弛凸可分规划算法的主循环之外，通过少量参数化扩展得到。

Based on dual relaxation method to extend a special convex separable programming algorithm, this tracking algorithm was constructed by parametric analysis.

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