从编译程序中符号表的总体组织和表项属性信息组织来看，符号表是一种算法复杂性很高的数据结构，而且也不利于用户与图形界面的交互。
Symbol table is data structure which has high arithmetic complexity from whole structure and items' attribute information, and it is inconvenient for users to interact with graphic interface.
我们称为维护问题，并提出恒定时问维护的概念，即维护问题算法的时间复杂性与数据库大小无关。
We propose a notion of constant time maintenance, according to which the maintenance algorithm runs in time independent of the size of the database state.
与相干检测的天线选择相比，NON - AS算法不需要估计信道，大大降低了系统复杂性。
Compared with coherent antenna selection, the NON-AS algorithm do not require estimating channel state information, which greatly reduce system complexity.
由于钢铁企业生产现场的复杂性和其本身所具有的特点，很多先进控制算法不能在实际生产中进行应用调试，致使理论与实际应用脱节。
Owing to the complexity and characteristic of the steel industry, many advanced control algorithms could not be applied easily. This makes the difference between the theory research and application.
通过分析对比该算法与完全搜索算法和传统贪心算法的复杂性，证明了其在故障告警域重叠度较小情况下的有效性。
The complexity of GCDG is compared with both exhaustive search algorithm and traditional greedy search algorithm, and then its efficiency is proved in the small alarm overlapped domain.
本文中尤其对于困扰混沌检测的实时性和算法复杂性问题进行了深入的研究与改进。
Especially I do an in-depth research and improvements on the real-time detection and algorithmic complexity issues which has troubled the traditional weak signal detection.
与传统的数据挖掘算法相比，多关系数据挖掘特有的复杂性对算法的性能提出了更高的要求。
Compared to the traditional data mining algorithms, the complexity of specific performance of the algorithm in the multi-relational data mining put forward higher requirements.
本文首先分析了结构产生过程的复杂性，然后介绍了一个新颖的，混合使用结构组装与结构缩简策略的结构产生算法。
Then a novel, hybrid structure generation algorithm based on both structure assembly and structure reduction strategies is described.
实际系统的计算结果表明，此算法的迭代收敛次数稳定，与系统规模关系不大，在求解大规模系统无功优化问题时，其性能优于具有指数时间复杂性的单纯性法。
The computation results of practical power systems show that the number of iterations of this algorithm is independent of system's size, and it is superior to simplex...
实际系统的计算结果表明，此算法的迭代收敛次数稳定，与系统规模关系不大，在求解大规模系统无功优化问题时，其性能优于具有指数时间复杂性的单纯性法。
The computation results of practical power systems show that the number of iterations of this algorithm is independent of system's size, and it is superior to simplex...
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