查询词典 Monte Carlo

We apply the kernel methods of regression functions and conditional density functions to obtain a series of as the estimators of . Then using Monte Carlo Analysis method , we can get the optimal choice of the unknown parametric that is . Examples illustrate the models and will show this estimation is effective.

应用回归函数核估计和条件密度函数的核估计方法估计未知量，将得到的一组估计值用Monte Carlo Analysis方法处理便得到最优的，并通过算例模拟讨论以上估计方法的优劣。

Firstly, the random scene of fire was assumed. And then according to the probability distributions of the random parameters of fire in the building, a large number of samples were obtained using mixed congruence method and inverse function method of Monte-Carlo. Finally, the performance of the samples was simulated using Ozone, and the failure probability of the structure in fire was analyzed.

该模型首先确定火灾随机场景，根据建筑物内火灾随机参数的概率分布，利用蒙特卡洛的混合同余法和反函数法产生火灾随机场景的抽样样本，然后利用OZone软件进行火灾下抽样样本的性能模拟，通过大量样本的模拟实现了结构在火灾下的失效概率分析。

The Monte Carlo integration that the domain of integration is curved or complex connected curved polyhedron and the integrand has singular points is discussed in this chapter.where G is the domain of integration that is the curved polyhedron, and X P,where G, G,(i = 1,2,...s) is the domain of integration thatis the curved polyhedron,Chapter 3 Deals with the computer simulation on the multiple random current and LIFO multiple service desks mixed queuing system modles in discrete event system.

Z，为。厂的奇异点，且、训方」 SZ；。G一U乓，：一'，2，第三章讨论了多随机顾客流且后进先出的先有Ul个服务台并联，然后有 V个服务台串联，最后有UZ个服务台并联的串并联混合和先有 Vl个服务台串联，然后有U个服务台并联，最后有VZ个服务台串联的串并联混合多服务台排队系统模型的计算机模拟。

Some Monte Carlo simulations are performed based on the algorithm proposed in this paper. The result show that the algorithm can improve the steady-state estimating accuracy and the constringency rate.

结果表明：和没有利用扩展量测的EKF算法相比，本文提出的跟踪算法不但能够提高目标状态估计的稳态跟踪精度，而且能够提高系统的动态收敛速度。

The data of Monte Carlo simulated grains and pure iron show that the grain size is related to the face number by a curve convex upward.

仿真数据和纯铁实验数据均表明，晶粒尺寸与晶粒面数之间的统计关系表现为一条单调递增的凸曲线。

Chapter 2 studied Monte Carlo methods for solving three special classes of the stochas-tic smooth convex programming.

第2章研究了三种随机光滑凸规划问题的Monte Carlo近似法。

Chapter 3 studied Monte Carlo methods to four special classes of the stochastic non-smooth convex programming.

第3章研究了四种随机非光滑凸规划问题的Monte Carlo近似法。

Then the joint of convolution and Monte Carlo is introduced.

在此基础上，讨论了卷积方法与蒙特卡罗的结合。

In the geometry space, azimuthal anisotropy and coplanarity of sec- ondaries in the families are reproduced by normal model. However in the momentum space, the anisotropy of showers in the data is less than the both perditions of our two Monte-Carlo models.

共面结构事例在几何空间分布的各向异性性质可以用现有理论完全解释，但是实验族在横动量空间的各向异性程度明显小于两个不同模型的预言，其原因还有待进一步研究。

In this paper, we use Copula function to modify the traditional Monte Carlo simulation.

本文引入Copula函数来改进传统的蒙特卡洛模拟法。

I was up all night because I was in pain, she said.

我整夜，因为我在疼痛，她说。

A crow caws /craoks.

乌鸦叫。 51-论文网