查询词典 stochastic

Stochastic optimal control is an important branch of control theory.

随机最优控制是现代控制理论的一个重要分支。

We apply the stochastic dynamic programming to obtain the solution to the problem, and describe the optimal policy, the value function, and the dynamics of consumption.

我们使用随机动态规划求解模型，并给出了最优的消费和组合投资规则。

With the application of stochastic optimal control theory and martingale optimality principle, the optimal solutions of the models in explicit form are extracted.

运用随机最优控制理论及鞅最优性原理求出了模型的显式最优解。

Chapter 1, introduction, which summarizes the literature and the development about the theory and application of stochastic DP and multiobjective DP, views the two basic concepts of DP which are optimality principle and Markvian.

第一章导言，综述了动态规划主要是随机动态规划和多目标动态规划的发展及现状，评述了动态规划中两个基本概念"无后效性"和"最优化原理"。

The stochastic parameter system optimum control research involves to many disciplines categories, is a rich challenge and comprehensive topic.

中文摘要：随机参数系统的最优控制的研究涉及到诸多学科的范畴，是一个富有挑战性的综合课题。

In order to study further this type of time series, it is necessary to extract deterministic and stochastic components.

为了进一步研究这种类型的时间系列，有必要提取确定性和随机成分。

Differential equation model is classified as ordinary differential equation, partial differential equation and stochastic differential equation.

微分方程模型的形式包括常微分方程，偏微分方程和随机微分方程。

The orthogonal expansion method of the stochastic structural analysis leads to an orderexpanded equation whose order is much larger than the actual structures.

针对随机结构正交展开分析方法计算量过大的缺陷，本文首先提出基于Ritz模态向量的扩阶方程动力聚缩算法。

This thesis proposes a stochastic analysis method of risk assessment for breakwater wave overtopping and stability by physical experiments and calculated results by design codes.

由于奥帆工程的安全问题关系到奥帆赛成功举办和国际声誉，因此其水工结构经过了有关单位的设计并通过了大量的物理模型试验和数值模拟验证，但无论是"设计规范"还是物模试验都没有考虑到复杂多变的海洋环境的不确定性及其对工程设计的影响可能会导致工程在使用的过程中出现意外，因此必须对工程的设计进行系统的风险分析。

The multiscale model is not only capturing the several important ways in which a data analysis or signal processing problem can have multiscale characteristic, but also leading to an efficient and highly parallelizable algorithm for optimal estimation of stochastic processes.

此模型的的建立不仅是获取具有多尺度特征的数据分析或信号处理问题的一种重要方式，同时，利用它还可以为最优估计随机过程的状态变量诱导出高度有效、并行迭代算法。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。