A new global optimization reliability method, knowledge-based clustered partitioning method (KCP) for reliability problems involving correlated non-normal random variables, is proposed.
提出了分析相关非正态变量可靠度问题一种新的全局优化方法——认知聚类分区方法。
3 For many random variables, a good choice is the normal distribution, often represented as a bell-shaped curve, shown in Figure 1.
3对于许多随机变量来说，一个好的选择是正态分布，常常表现为一个钟型曲线，如图1所示。
The random variables follow normal distribution in this analysis.
分析中随机变量取正态分布。
Aiming at the risk value of normal distribution and the formula of stop-loss premiums, analytical expressions for risk value and stop-loss premiums of sums of independent random variables are given.
针对正态分布的风险值及停止损失保费问题，并给出了一般情形下封闭式集合风险模型的风险值及停止损失保费的计算方法。
Taking gauss curvatures and normal vectors as random variables, Lorentz Curve was extended to 3d Lorentz Surface.
以高斯曲率和法向量为随机变量，将洛伦兹曲线扩展为三维，得到洛伦兹曲面。
Taking gauss curvatures and normal vectors as random variables, Lorentz Curve was extended to 3d Lorentz Surface.
以高斯曲率和法向量为随机变量，将洛伦兹曲线扩展为三维，得到洛伦兹曲面。
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