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线性约束严凸可分规划的对偶梯度法
引用本文:朱建青. 线性约束严凸可分规划的对偶梯度法[J]. 测绘学院学报, 1993, 0(4)
作者姓名:朱建青
摘    要:在[1]及[2]中考虑了原目标函数是强凸的情形,本文考虑更一般的情形,即原目标函数是严凸的,给出了其求解的对偶梯度法;对偶问题可分解成n个一维问题,而一维问题的解可直接得到,从而得到原问题的解,并证明了算法的收敛性。

关 键 词:对偶梯度法  线性约束问题  强凸问题  严凸问题  可分问题

Dual Gradient Method for Linearly Constrained Strictly Convex Separable Mathematical Programming Problems
Zhu Jianqing. Dual Gradient Method for Linearly Constrained Strictly Convex Separable Mathematical Programming Problems[J]. Journal of Institute of Surveying and Mapping, 1993, 0(4)
Authors:Zhu Jianqing
Affiliation:Zhu Jianqing
Abstract:The primal objective function is strongly convex in [1] and [2].In this paper, a new dual gradient method is given to solve linearly constrained, strictly convex, separable mathematical programming problems. The dual problem can be decomposed into one-dimensional problems whose solutions can be computed extremely easily.The primal optimal solution can be obtained from the dual optimal solution in a straight forword way. Convergence proofes is given.
Keywords:Duality gradient method   Linearly constrained problem   Strongly convex problem   Strictly convex problem   Separable problem
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