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1)  one center spherical model approximation
单中心球模型近似
1.
The simple nitrogen wave functions are chosen as the electronic wave function of the H 7 cluster with one center spherical model approximation.
选用类N原子解析波函数,在单中心球模型近似下,利用变分法计算了H7团簇正八面体中心结构的能量。
2.
The simple lithium wave functions are chosen as the electronic wave functions of the H52+ cluster with one center spherical model approximation.
单中心球模型近似下,选用类Li原子解析波函数,用变分法计算了H52+团簇正四面体中心结构与能量。
3.
The simple boron wave functions are chosen as the electronic wave functions of the H~2+_7 cluster with one center spherical model approximation.
单中心球模型近似下,选用类B原子解析波函数,用变分法计算了H27+团簇正八面体中心结构与能量。
2)  Approximate center
近似中心
3)  single-mode approximation
单模近似
1.
We study the mode deviation effect of a spin-1 Bose-Einstein condensate with large number of atoms in optical trap beyond the single-mode approximation.
采用超越单模近似,研究了纯光学势阱中自旋s=1的旋量BEC对单模的模式偏离效应。
4)  approximate model
近似模型
1.
Based on approximate models and genetic arithmetic,a scheme for the plane with multi-flaps was proposed to implement the multidisciplinary design optimization(MDO) of full-envelope flight control law and control effectors geometry & their placement.
基于近似模型和遗传算法,针对多操纵面布局飞机提出一种对全包线飞行控制律和操纵效率器几何形状与位置进行多学科优化的设计方法。
2.
In this approach, uniform design method was employed to generate the geometric information of samples, whose performances are calculated by CFD technique; the relationship between the geometric information and its performances of samples is mapped by the approximate model constructed by parallel artificial networks (PANN); genetic algorithms is employed to find .
均匀设计方法用来生成试验样本点几何信息,各样本点性能评估分析则借助CFD技术来完成,样本点几何信息与其性能之间的关系则采用并行神经网络所映射的近似模型来给出,最后由遗传算法来对该近似模型进行全局寻优,并将其优化得到的相应结果加入样本点集中,重复最后两步,直到满足设定的终止准则。
3.
In the light of the huge amount of time-consuming CFD (computational fluid dynamics) calculations during the numerical optimization of a turbo-machinery unit,developed was an optimized design method based on an approximate model.
针对叶轮机械数值优化过程中常常需要大量耗时的CFD计算,发展了一种基于近似模型的优化设计方法。
5)  approximation model
近似模型
1.
To reduce huge computation of the traditional stochastic optimization methods for engineering optimization,approximation model methods with acceptable accuracy for engineering design are developed based on the statistical theory.
针对在工程中完全采用随机类优化方法寻优时计算量过大的问题,应用统计学的方法发展了计算量小、在一定程度上可以保证设计准确性的近似模型方法。
2.
Based on the original algorithm, the Kriging model is employed as an approximation model for Bayesian analysis.
介绍了克里金模型的基本理论,并采用以克里金模型为近似模型的贝叶斯分析算法,对函数关系复杂、难以计算情况下的全局优化问题进行求解。
3.
The paper presents an algorithm combining square response surface and Radial Basis Function Neural Network(RBFNN) to solve the problem that RBFNN is often difficult to meet the precision request of approximation model.
用径向基神经网络方法构造近似模型常常难以满足精度要求,提出了一种把二次响应面与径向基神经网络相结合的算法。
6)  mean spheri-cal approximation
平均球模型近似(MSA)
补充资料:中心场近似
分子式:
CAS号:

性质:将原子中的每一个电子都看作是在一个对原子核是球形对称的势场中运动,在此基础上建立并求解单电子薛定谔方程。在该近似下,原子轨函仍由三个量子数n、l、m规定,而且角度部分的具体形式和类氢离于完全相同,径向函数则取决于中心势场的具体形式,并和量子数n和l相关。

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