GD:高斯发散

Gaussian Divergence,常缩写为GD,是一种数学和物理领域常用的表达方式,尤其在涉及高斯定理或场论相关内容时出现。该缩写形式便于快速书写和学术交流,适用于未明确分类的综合性场景。其中文译名为“高斯发散”,主要描述向量场中通量散度的物理概念。

Gaussian Divergence具体释义

  • 英文缩写:GD
  • 英语全称:Gaussian Divergence
  • 中文意思:高斯发散
  • 中文拼音:gāo sī fā sàn
  • 相关领域gd 未分类的

Gaussian Divergence的英文发音

例句

  1. Theoretical Computation for Gaussian Beam Divergence Measurement by Gratings
  2. 利用光栅测量高斯光束发散度的理论计算
  3. Theory of Gaussian beam divergence for stable optical resonators
  4. 稳定光学谐振腔高斯光束的发散角理论
  5. The distance between the near Gaussian apices is controlled accurately by controlling accurately the divergence of LD.
  6. 通过对横向偏距的精确控制,来控制相邻高斯分布的间距。
  7. The software developed in this paper mainly contains curve fitting of measuring data, Gaussian distribution estimation of curves, calculation of the size of facula, divergence angle and waist facula.
  8. 文中开发的实验数据处理软件主要包括测量数据曲线的拟合、判断曲线是否符合高斯分布、光斑大小的计算、发散角和腰斑大小的计算。
  9. We model each eigenvector using Gaussian Mixture Model, EM algorithm is used to estimate the parameters, and then the generalized integrated square error divergence is calculated and serves as the criteria to eigenvector selection.
  10. 用高斯混合模型对特征向量建模,并用EM算法计算其中参数,进而通过测量每个特征向量的广义积分平方误差散度,可以反映其模态信息并作为选择的标准。