但是当对象模型稍稍变复杂一点，例如有两个彼此相关的POGO，那么事情将很快变得困难起来。
But when you add the slightest bit of complexity to your object model, such as having two POGOs that are related to each other, things can quickly get more difficult.
提出一种基于伴随系统和变号系统的求解电力系统经典模型稳定边界上不稳定平衡点的方法。
A new method based on adjoint system and minus system to compute unstable equilibrium points on the stability boundary of power system classical model is proposed.
该模型的核心部分是根据观测到的资料，通过蒙特卡洛马尔科夫链随机抽样的方法来估计变点位置的后验概率分布。
Given the observed hydrological data, the model can estimate the posterior probability distribution of each location of change-point by using the Monte Carlo Markov Chain (MCMC) sampling method.
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