Monte Carlo algorithm is presented to model characteristics of polarized laser in thick fog and thin fog media.
用蒙特卡罗方法对偏振激光在浓雾和弱雾中的传输特性进行建模。
This paper realized the electric circuit center value optimization through to the Monte Carlo algorithm application.
本论文通过对改进的蒙特卡罗算法的应用，实现了电路中心值优化功能。
An all-purpose algorithm, Monte Carlo algorithm, for solving linear and nonlinear system of equations was presented in this paper.
提出一种求解线性和非线性方程组的通用算法——蒙特卡罗算法。
Given a position, a program using a Monte Carlo algorithm contemplates every move and plays a large number of random games to see what happens.
给定一个棋位，应用蒙特卡罗算法的程序预测每一步走法并进行大量随机走法将会带来什么结果。
In this paper, using a useful combined Monte Carlo algorithm, we simulate the dilute planar rotator model and generalized XY model to study the properties of thermodynamics and phase transition.
本文中，我们利用一套有效的组合蒙特卡罗算法，模拟计算了稀释平面转子模型以及广义XY模型的热动力学特征和相变行为。
Monte Carlo simulation results show the efficiency and high location precision of the proposed algorithm.
通过蒙特卡罗模拟，证明了该算法的有效性和定位精度较高。
Incorporating color distribution and spatial layout, this paper proposes a sequential Monte Carlo filter tracking face algorithm using color and spatial information in HSV color space.
结合图像的色彩分布和空间布局，提出了一种基于HSV色彩和空间信息的序列蒙特卡罗滤波人脸跟踪算法。
This article chooses the immune algorithm as the basic method to resolve the problem and USES Monte Carlo simulation to transform the risk restriction.
本文选择了免疫算法作为基本算法求解模型，并使用蒙特卡罗方法对风险约束进行转化。
In the part of improved algorithm, a Monte Carlo based approach for fuzzy reliability evaluation is presented.
在算法改进方面，提出了基于蒙特卡罗法的配电系统模糊可靠性评估方法。
Incorporating intensity distribution and spatial layout, this paper proposes a sequential Monte Carlo probabilistic tracking algorithm using intensity and spatial information.
结合图像的灰度分布和空间布局，提出了一种基于灰度和空间信息的序列蒙特卡罗概率跟踪算法。
Two different Monte Carlo simulations show that the new algorithm cannot only improve state estimation accuracy but also is superior to EKF in estimation performance and computation efficiency.
两个不同的蒙特卡罗仿真表明，通过采用这一新算法引人径向速度测量，不仅可以大大提高状态估计的精度，而且其估计性能和计算效率优于传统的EKF。
Meanwhile, this paper puts forward the advantages and disadvantages of this Method compared with ordinary self-help algorithm and smooth moving data block Monte Carlo Simulation.
通过与一般自助法，平稳移动数据块算法的蒙特卡罗数值模拟，比较了这三种方法的优劣性。
Discuss the Sequential Monte Carlo localization method for wireless sensor networks scheme and modify the basic algorithm to overcome the sample degeneracy problem in resampling stage.
讨论了贯序蒙特卡罗方法在无线传感器网络节点定位算法中的实现，并针对再采样阶段的样本缺失现象，对基本算法进行了改进。
Monte Carlo ray tracing is the fundamental algorithm in the global illumination area. Its accuracy and flexibility have been recognized by the computer graphics community.
蒙特卡罗光线追踪方法是目前整体光照计算的基础算法，其广泛的适应性与理论上的准确性，已得到了图形学领域的认可。
The simulations of the algorithm under wireless channel condition using MONTE CARLO method were presented and show the effective improvement of the system performance.
通过蒙特卡洛(MONTE CARLO)方法在无线信道条件下对算法进行了模拟，模拟结果显示该方法能有效改善系统性能。
The effective potential correction was used in 3d Monte Carlo simulation of nanoscale MOSFETs to deal with quantum mechanical effects. A parallel algorithm based on PC clusters was proposed.
为了处理纳米mos场效应管的量子效应，在蒙特卡罗模拟中引入有效势量子修正，并提出了基于PC机群的三维并行模拟算法。
Finally, the autonomous optical navigation algorithm is validated and the factors influencing navigation precision is analyzed using Monte Carlo simulations.
最后利用蒙特卡罗仿真对所提导航算法进行了验证，并对影响导航精度的各相关因素进行了分析。
On account of the advantages of the differential evolution such as searching efficiency and robustness, this paper applies the algorithm and Monte Carlo simulation to a cascade hydro plants system.
利用微分进化算法鲁棒性强、搜索效率高的特点，与蒙特卡洛方法对模型进行求解。
In the chapter 3, we will introduce the concepts of the loop algorithm for Quantum Monte Carlo simulations and its applications.
第三章介绍了本文所采用的量子蒙特卡罗圈算法的基本概念以及其应用。
Accuracy of the algorithm is examined, and some Monte-Carlo simulation is performed for L-band microwaves scattered by wind-driven ocean surfaces.
对这种算法的精度问题进行了分析，后对海洋表面散射进行模拟。
This paper proposes an algorithm of vehicle collision warning system based on a Monte Carlo approach.
本文提出了一种基于蒙特卡洛方法的汽车碰撞预警系统。
For state estimation of hybrid system with unknown transition probabilities, an adaptive estimation algorithm is proposed based on Monte Carlo particle filtering.
在算法的状态估计阶段，采用混合系统粒子滤波和二元估计算法同时估计对象系统故障演化模型混合状态和未知参数的后验分布。
With GRG algorithm in solving nonlinear programming to match, the number-theoretic Monte-Carlo metho…
配合求解非线性规划的GRG算法，数论投点法在（CNR）问题的优化计算中显示了较大的优越性。
With GRG algorithm in solving nonlinear programming to match, the number-theoretic Monte-Carlo metho…
配合求解非线性规划的GRG算法，数论投点法在（CNR）问题的优化计算中显示了较大的优越性。
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