The algorithm is a random searching algorithm in nature. It can converge to the global minima more probability and be adept in continuous functions optimization.
该算法本质上是一种随机搜索算法，并能以较大概率收敛到全局最优，特别适用于连续函数的优化。
This paper develops a continuous time model by means of the BSDE methodology, in order to price risky assets in terms of the real probability measure.
本文利用倒向随机微分方程研究了连续时间下基于可交易证券的风险资产定价模型。
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