1) period of convergence
幂敛周期
3) multiperiodicity attractivity
多周期收敛
1.
This dissertation present some qualitative studies on several neural networks models withdelay which includes globally asymptotic stability, globally exponential stability, chaos synchro-nization, multiperiodicity attractivity.
本文对几类具有时滞的神经网络模型的动力学性态进行了定性研究,讨论了这些神经网络模型的全局渐近稳定,全局指数稳定,混沌同步,多周期收敛。
4) periodicity of the sum of equal powers
等幂和的周期性
5) Multiple periodic convergence
2n倍周期收敛
6) index of convergence
幂敛指数
1.
In this paper we applied the graphic method to determine the index of convergence for a class of n(>4)order non-symmetric imprimitive nearly reducible Boolean matrix with at least one pair of nonzero symmetry entries and whose given period is two.
应用图论方法推导出至少有一对非零对称元但非对称且周期为2的n(>4)阶非本原几乎可约布尔矩阵所成的类(NBn)的若干个指数公式,并进一步确定出NBn的幂敛指数集(S1∪S2∪S3)。
2.
The bounds about the index of convergence havebeen got:If G is a primitive digraph,k(T)≤k(G)+1;If G is an oriented cyclic,then k(T)=2|V(G)|-1;If G is acyclic,then k(T)=2k(G)-1.
本文得到了它们的幂敛指数k(G)和k(T)之间的关系:对任何有向图G,周期p(T(G))=1;当G是本原图时,k(T)≤k(G)+1,文中给出了取得k(G)+1的两类图;当G是无圈图时,k(T)=2k(G)-1,当G是有向圈时,k(T)=2|V(G)|-1,当G是强连通时得到了k(T)的一些估计。
3.
By using the matrix representation of a digraph, some results about the index of convergence and period of a line digraph are obtained.
采用有向图的矩阵表示，得到了线有向图的幂敛指数和周期的有关结果。
补充资料：彻幂
1.见"彻幂"。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条