As a new and developing research field , set - valued variable and set - valued stochastic process is not perfect both in theory and practical application , and need to be further explored and developed 集值随机变量与集值随机过程作为一个新兴的研究领域,无论在理论上还是实际应用上面都不太成熟,不够完善,需要进一步的探索与开发。
The instantaneous probability density function of the virtual stochastic process is evaluated , and then the probability density function of the basic random variable is obtained by employing the independent random samples 利用独立随机抽样的样本值,即可获取虚拟随机过程的瞬时概率密度函数,进而获得随机变量的概率密度函数估计。
In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically , randomized methods rely on stochastic processes and random number / vector generation as part of the algorithm and / or its analysis 传统的最优化算法中迭代的计算和分析是确定的,与之相比,随机方法依靠随机过程和随机数字/向量的生成作为算法和(或)算法分析的一部分。
In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically , randomized methods rely on stochastic processes and random number / vector generation as part of the algorithm and / or its analysis 传统的最佳化演算法中迭代的计算和分析是确定的,与之相比,随机方法依靠随机过程和乱数字/向量的生成作为演算法和(或)演算法分析的一部分。
With the assumption that stock price follows gometric browian motion model , problems of probability are transferred to problems of differential equation according to the relations between differential equations with originals and stochastic processes 摘要在假定股票价格变动服从几何布朗运动的模型下,利用微分方程初值问题与随机过程的联系,将要计算的概率问题转化为微分方程问题。
In probability theory, a stochastic process (), or sometimes random process (widely used) is a collection of random variables; this is often used to represent the evolution of some random value, or system, over time. This is the probabilistic counterpart to a deterministic process (or deterministic system).