1) complex data flow polynomial
复杂数据流多项式
1.
A new model K*TDG for complex data flow polynomial and its search algorithm;
复杂数据流多项式新模型K*TDG及搜索算法
2) polynomial complexity
多项式复杂性
1.
For the P_*(κ) horizontal linear complementarity problem (LCP),Stoer,Wechs,and Mizuno presented recently an infeasible interior point method (IPM) that is capable of obtaining an exact solution in finite iterations,but they gave no discussion of polynomial complexity.
Stoer,Wechs,和Mizuno最近提出了一个求解P_*(k)水平线性互补问题的不可行内点算法，他们的算法能在有限不内得到问题的一个精确解，但是没有讨论算法的多项式复杂性。
3) polynomiality
多项式复杂性
1.
But no polynomiality result was reported in their paper.
不需要严格互补解条件，他们的算法获得了高阶局部收敛率，但他们的文章没有报告 多项式复杂性结果。
4) polynomial complexity
多项式复杂度
1.
Algorithms with polynomial complexity for determining the stability of nondeterministic discrete-event systems
判定非确定离散事件系统稳定性的多项式复杂度算法
2.
Finally an effective algorithm is derived and it proves to be of polynomial complexity in time and space.
该算法具有多项式复杂度。
5) polynomials/complexity
多项式/复杂度
6) complicated and multi-source data
复杂多源数据
1.
Faced to the problem,ontology which originated from philosophy is first introduced into mining filed,and complicated and multi-source data in coal mine are described through the hierarchical tree structure formed by combination of semantic model and numerical description.
针对该问题,首先将源于哲学范畴中的本体引入煤矿生产领域,以矿区监测位置本体作为语义模型与数值描述相结合,形成树状层次结构来描述煤矿复杂多源数据;然后,通过基于语义和数值的混合相似性度量方法计算煤矿数据的相似度;最后通过实验验证了本文所述方法的可行性和有效性。
补充资料：多项式乘多项式法则
Image:1173836820929048.jpg
多项式乘多项式法则
先用一个多项式的每一项乘以另一个多项式的每一项，再把所得的积相加。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。