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1)  bipartition matrix
对集矩阵
1.
We present an example to show that the decomposition of a bipartition matrix is not un.
证明了一个n阶非负实矩阵可分解为某些n阶置换矩阵的线性组合的定理,由此得到了k-正则偶图的对集矩阵的分解定理。
2)  Cut Sets Matrix
割集矩阵
1.
Application of Extended Cut Sets Matrix in Fault Tree Rapid Analysis Strategy;
扩展割集矩阵在故障树快速求解方法中的应用
2.
A new computation method has been brought forth by using the cut sets matrix in former non intersect FTA according to the former non intersect methods.
根据故障树早期不交化方法 ,提出利用割集矩阵运算导出早期不交化的故障树分析新算法 ,并用 C++语言开发了基于 Windows的 FTA应用软件。
3)  cut set matrix
割集矩阵
4)  itemsets matrix
项集矩阵
1.
In order to overcomee the drawbacks of Apriori algorithm for mining maximum frequent itemsets,TIMV algo- rithm was proposed,which use three-dimensional itemsets matrix and vectors.
为了克服Apriori发现频繁项集存在的问题,提出了一种基于三维项集矩阵和向量(TIMV)的频繁项集挖掘算法。
5)  aggregation matrix
集结矩阵
1.
A uniform framework is built for a class of simplified strategies, in which the original optimized variables are connected with the aggregated ones through the aggregation matrix, so the on line optimization of MPC is turned into a low dimensional programming of aggregated variables or the aggregated matrix.
通过一个集结矩阵将原优化变量与集结后的变量联系起来 ,从而为多种预测控制算法建立一个统一的框架。
6)  difference matrix
差集矩阵
补充资料:对集

数与数之间的冲突或弥合构成的新数群。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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