The interior point method is a polynomial time algorithm for solving linear programming problem, and its number of iterations is independent on the size of system.
内点法是一种求解线性规划问题的多项式时间算法，其显著特征是其迭代次数与系统规模关系不大。
This paper presents a polynomial time algorithm for finding Rectilinear-Steiner-Trees by statistical analysis.
本文利用统计分析法，提出求解矩形斯坦纳树问题的多项式时间算法。
Both theoretic analyses and testing results show that the new method is a deterministic polynomial time algorithm.
理论分析与实验结果表明该方法是确定性的多项式时间算法。
Based on the definitions of the unfounded set and the greatest unfounded set, it proposes a polynomial time algorithm.
以无基集为基础，结合最大无基集的定义，提出一个多项式时间算法。
Basing on the optimal properties, this paper proposes a polynomial time algorithm which is suitable to solve the large scale scheduling problem.
本文在利用优化性质的基础上，提出了一种适于大规模优化调度问题的多项式时间算法。
In this paper, we present a new match protocol. It is of semantic security: there exists no probabilistic polynomial time algorithm to distinguish two guessed inputs.
本文给出了一个新的匹配协议，该协议是语义安全的，不存在概率多项式时间算法区分对两个输入的猜测值。
Some numerical results for a large number of random convex quadratic programming problems show that the new algorithm is efficient and might be a polynomial-time algorithm under some conditions.
大量的关于随机的凸二次规划问题的数值实验结果表明它的计算效率是高的，在某些条件下可能是多项式时间算法。
Some numerical results for a large number of random convex quadratic programming problems show that the new algorithm is efficient and might be a polynomial-time algorithm under some conditions.
大量的关于随机的凸二次规划问题的数值实验结果表明它的计算效率是高的，在某些条件下可能是多项式时间算法。
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