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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The algorithm employs crossover operations and a hybrid scaling method to combines both linear and sequencing-based nonlinear scaling methods.

该算法使用了有效的交叉操作，并设计了将线性定标与基于排序的非线性定标相结合的混合适应值定标方法。

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We present an affine scaling trust region algorithm with interior back - tracking and subspace techniques for nonlinear optimizations subject to linear inequality constraints.

使用仿射变换内点回代技术的信赖域子空间算法解线性不等式约束的非线性优化问题。

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