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1)  neighborhoods of analytic function
解析函数的邻域
2)  neighborhood of analytic functions
解析函数邻域
3)  neighborhoods of meromorphic functions
亚纯函数的邻域
4)  analytic neighborhood
解析邻域
5)  neighborhood function
邻域函数
1.
Different from simple genetic algorithm,bi-group genetic algorithm makes good use of the supervision and guiding of supervising group and foregone knowledge of problem,and in the process of designing,neighborhood function is fused in to generate a number of dissimilar individuals,so that the global search performance of this algorithm is greatly enhanced.
区别于一般的遗传算法,双群体遗传算法充分利用了督导群体的监督导向作用和问题的先验知识;同时,算法设计考虑加入了邻域函数产生一定数量相异性较大的新个体,从而大大提高了算法的全局搜索性能。
2.
The neighborhood function is an important concept in optimization computation,which can lead to a new solution from a known one.
邻域函数是优化计算中的一个重要概念,其作用就是指导如何由1个(组)解来产生1个(组)新的解。
6)  potential function
邻域势函数
1.
Weighted fuzzy clustering strategy for wireless sensor networks based on the neighbor potential function
基于邻域势函数的无线传感器网络模糊分簇算法
补充资料:Riemann-Hilbert问题(解析函数)


Riemann-Hilbert问题(解析函数)
Rionann-Hilbert problem (analytic functions)

Rien.口.·H刃帷rt问题(解析函数)【Ri~一Hi】bert脚咖舰(a回州c云.‘t加s);p.Maoa一介月诵epTa 3a-皿明a」 见解析函数论的边值问题(boundary铂】ue pro-blems of analytjc funetion此。ry).【补注】参考文献 【All Rodin,Yu .L.,The Riemann boundaryp拍blem on 凡~皿s盯faces,R配d,1988(译自俄文). 杨维奇译
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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