In case of problems with thousands of variables, the primal-dual algorithm will be far more efficient.

对于有大量变量的问题，原始对偶算法将更为有效。

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This paper presents a infeasible interior-point primal -dual affine scaling algorithm for linear programming. it is shown that the method is polynomial-time algorithm.

摘要本文对线性规划提出了一个不可行内点原始-对偶仿射尺度算法，并证明了算法是一个多项式时间算法。

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It has more advantages than primal simplex algorithm, two-stage simplex algorithm and dual simplex algorithm.

它比原始单纯形法、两阶段单纯形法、对偶单纯形法具有更大的优越性。

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