查询词典 probability distribution function

Firstly, an empirical approximation model of stochastic programming is obtained by replacing the probability measure of original program with empirical probability measure. Sequentially, the constrained stochastic programming is transformed into an equivalent unconstrained stochastic programming. Finally, using the epi-convergence theory, the almost everywhere upper semiconvergence of optimal solution set of empirical approximations for stochastic programming is obtained.

首先通过经验概率测度替代初始规划的概率测度得到随机规划的经验逼近模型，然后将带有约束的随机规划问题转化成与其等价的无约束的随机规划问题，最后利用上图收敛性理论，给出了随机规划经验逼近最优解集的几乎处处上半收敛性。

The researches show that fan delta, alluvial plain, delta, lacus and sublacustrine fan develop, each sedimentary facies are divided into several subfacis again. The probability cumulative grain size curves incude "uphill arched arc" pattern, one segment pattern, bi-segment pattern, tri-segments pattern, multi-segments pattern, complicated bi-segment pattern, complicated tri-segments pattern,"low slope multi-segments" pattern,"high slope multi-bouncing population-one suspension population" pattern,"high slope multi-bouncing population-one suspension population-transitional zone" pattern,"high slope and multi-bouncing population" pattern,"broadly uphill arched arc" pattern and so on, each subfacis has own peculiar probability cumulative grain size curves.

研究表明，该地区发育的沉积相有扇三角洲、冲积平原、三角洲、湖泊、湖底扇，每一种沉积相又分为几种沉积亚相类型；该地区碎屑岩的粒度概率累积曲线特征主要包括：&上拱弧形&式、一段式、两段式、三段式、多段式、复杂两段式和复杂三段式、&低斜多段&式、&高斜多跳一悬&式和&高斜多跳一悬夹过渡&式、&高斜多跳&式、&宽缓上拱&式等，每种沉积亚相类型对应其独特的粒度概率累积曲线特征。

We establish the quantum theory of the one-mode micromaser injected by ultracold V-type three-level atoms with atomic coherence, and discuss the properties of the emission probability, the photon statistics, the spectrum and the velocity selection. We find the following results. There are two sets of peaks in the plot of the emission probability versus the cavity length. The injected atomic coherence can deeply affect the values of the two sets of peaks and the unresonant platform.

第一部分包括第一章到第四章，在这部分，我们建立了具有原子相干性的超冷V型三能级原子注入的单模Micromaser的量子理论，研究了原子发射几率、腔场光子统计、腔场光谱、以及腔对原子速度选择等性质，并着重研究了原子相干性对这些性质的影响。

Firstly, MRED compares the send rate upbound of the TCP throughput modal with the tartet rate of the UDP flows, and then the relation curves can be gained about throughput and packets drop probability. Secondly, by controlling the packets drop probability on the network nodes, the throughput of the UDP flows can be adjusted and transforms the response manners to the network congestion.

MRED算法根据TCP吞吐量模型发送速率上界与UDP业务流的目标速率比较，得到吞吐量与数据包丢失率关系曲线，通过在网络节点控制数据包丢失率来调节UDP业务流的吞吐量，可以改变其对于网络拥塞的响应方式。

On the basis of a simplified assumption that the target loci are introgressed and the genetic background are independent,the probability of selecting individuals with desired genotypes in each generation is approximately estimated combining analytical approach and simulation according to the graphic genotypes of backcrossing parents.The minimal sample size required to obtain at least one desired individual with a given probability is estimated.

在假定所需转移的目标基因座与遗传背景之间为相互独立的简化假设下，可以通过将解析方法与基于回交亲本图示基因型的模拟方法相结合，近似地估计出在每一世代中选到所需基因型的概率，进而估算出在一定概率水平下至少获得一个符合要求的个体所需的最小样本容量。

This course explores the history and debates over codifying the laws of probability, how probability theory applies to specific cognitive processes, how it relates to the human understanding of causality, and how new computational approaches to causal modeling provide a framework for understanding human probabilistic reasoning.

本课程探索关于概率法则形成的历史和争论，概率理论如何运用于具体的认知过程，它与人类对因果的理解有着怎样的关系，以及新的关于因果模型计算方法怎样为理解人类的概率推理过程提供了一个框架。

This course explores the history and debates over codifying the laws of probability, how probability theory applies to specific cognitive processes, how it relates to the human understanding of causality, and how new computational approaches to causal modeling provide a framework for understanding human probabilistic reasoning.

本课程探索关於机率法则形成的历史和争论，机率理论如何运用於具体的认知过程，它与人类对因果的理解有著怎样的关系，以及新的关於因果模型计算方法怎样为理解人类的机率推理过程提供架构。

This course explores the history and debates over codifying the laws of probability, how probability theory applies to specific cognitive processes, how it relates to the human understanding of causality, and how new computational approaches to causal modeling provide a framework for understanding human probabilistic reasoning.

本课程探索关于概率法则形成的历史和争论，概率理论如何运用于具体的认知过程，它与人类对因果的理解有着怎样的关系，以及新的关于因果模型计算方法怎样为理解人类的概率推理过程提供了框架。

This course explores the history and debates over codifying the laws of probability, how probability theory applies to specific cognitive processes, how it relates to the human understanding of causality, and how new computational approaches to causal modeling provide a framework for understanding human probabilistic reasoning.

本课程探索关於机率法则形成的历史和争论，机率理论如何运用於具体的认知过程，它与人类对因果的理解有著怎样的关系，以及新的关於因果模型计算方法怎样为理解人类的机率推理过程提供了一个架构。

The article proposes a method for Markov forecasting, it compartmentalizes the initial state of forecasting object by fuzzy clustering method according to the similarity of the object's data own, to determine the initial state probability and the condition transition probability matrix.

提出根据预测对象数据自身的相似度，采用模糊聚类方法对预测对象进行初始状态划分，确定初始状态概率和状态转移概率矩阵，进行马尔可夫预测的方法。

Chimborazo and Cotopaxi, took me by the hand.

越过琴博腊索山和科托帕克西山。

This car is in a good condition.

这辆车的状况很好。