1) Domain of Normal Attraction
正则吸引场
2) attraction field regularization
边缘吸引力场正则化
1.
In this paper, we proposes a new algorithm, named multi-target extraction algorithm based on edge restriction and attraction field regularization, to overcome these shortcomings.
提出一种基于边缘约束和边缘吸引力场正则化的多目标轮廓提取算法。
3) Regularity of attractor
吸引子的正则性
4) canonical quantization of gravitational filed
引力场正则量子
5) domain of attraction
吸引场
1.
Two notes on the domain of attraction of D(Λ);
关于吸引场D(Λ)的两点注记
2.
A kind of restricted domain of attraction is discussed, and the necessary and sufficient conditions of three sorts of domain of attraction are obtained.
讨论了一类受限制吸引场,得到了三大吸引场的充要条件。
3.
By assuming that F is in the domain of attraction of G and the marginal distribution functions satisfy Von Mises condition, we mainly discuss the locally uniform convergence related to density of { M n }, i.
设 F属于 G的吸引场 ,本文假定边缘分布满足 Von-Mises条件 ,主要考虑二维极大值向量 Mn 密度收敛局部一致成立的问题 。
6) domains of attraction
吸引场
1.
The relations of the domains of attraction of D(Λ) and D(Φ\-a) had been established under some conditions.
研究了一定条件下吸引场D(Φα)和D(Λ)的关系 ,并进一步给出判别分布函数F(x)属于D(Λ)吸引场的更方便的条
补充资料：凡事豫则立，不豫则废
1.谓做任何事情，事先谋虑准备就会成功，否则就要失败。
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