Description: 二进制通信系统的进行蒙特卡罗仿真程序，以正交信号为基础。当均值分别等于０，０.１，１.０，２．０时完成１００００个比特的仿真并求出误差概率。绘出理论误码率和蒙特拉罗仿真的差错率并进行比较这俩个结果，并绘出每个均值情况下判决器的１０００个接受信噪比抽样-Binary communication systems to carry out Monte-Carlo simulation procedures to orthogonal signal basis. When the mean, respectively, equivalent to 10,000 completed 0,0.1,1.0,2.0 bit error probability simulation and obtained. Mapping theory and蒙特拉罗BER simulation这俩error rate and compare results, and the mean circumstances of each mapped Platform: |
Size: 2048 |
Author:金玲 |
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Description: 四进制通信系统的进行蒙特卡罗仿真程序，以正交信号为基础。当均值分别等于０，０.１，１.０，２．０时完成１００００个比特的仿真并求出误差概率。绘出理论误码率和蒙特拉罗仿真的差错率并进行比较这俩个结果，并绘出每个均值情况下判决器的１０００个接受信噪比抽样-Four-band communication system to carry out Monte-Carlo simulation procedures to orthogonal signal basis. When the mean, respectively, equivalent to 10,000 completed 0,0.1,1.0,2.0 bit error probability simulation and obtained. Mapping theory and蒙特拉罗BER simulation这俩error rate and compare results, and the mean circumstances of each mapped Platform: |
Size: 2048 |
Author:金玲 |
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Description: Ｍ＝４正交信号时数字通信系统进行蒙特卡罗仿真程序，当均值分别等于０，０.１，１.０，２．０时完成１００００个比特的仿真并求出误比特概率。绘出理论误码率和蒙特拉罗仿真的差错率并进行比较这俩个结果，并绘出每个均值情况下判决器的１０００个接受信噪比抽样-M = 4 orthogonal signals in digital communication systems Monte Carlo simulation program, when the mean, respectively, equivalent to 10,000 completed 0,0.1,1.0,2.0 simulation bit and bit error probability are obtained. Mapping theory and蒙特拉罗BER simulation这俩error rate and compare results, and the mean circumstances of each mapped Platform: |
Size: 2048 |
Author:金玲 |
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Description: MC模拟3Dising模型，适合做MonteCarlo模拟的朋友的需要！-MC simulation 3Dising model fit to do MonteCarlo simulation of the necessary Friend! Platform: |
Size: 3072 |
Author:luoxi |
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Description: 完成一个利用矩形信号星座图的M=16D的QAM通信系统的MonteCarlo的仿真-To complete a use of the rectangular signal constellation diagram of M = 16D of QAM communication system MonteCarlo Simulation Platform: |
Size: 1024 |
Author:欧米秋 |
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Description: MATLAB code to perform Monte Carlo simulation for getting price of an European swaption under the Libor Market Model (LMM) framework. Platform: |
Size: 2048 |
Author:rajesh |
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Description: 蒙特卡洛模拟 随机因素的统计分析 对系统规模没有要求-Monte Carlo simulation of the statistical analysis of random factors in the scale of the system does not require Platform: |
Size: 36864 |
Author:han werer |
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Description: hs is the set of files (with the powerpoint presentation, in french or in english) used for the Webinar "Simulation de Monte Carlo en MATLAB".
- The first demo (LakeArea, run MainLakeArea) is computing the size of a polyogon using a MC approach
- The second demo (PortSim, run WebinarScript) can do 2 things: First, we genrate some equity paths, to verify the lognormality If changing the mode to OptionPricing (uncomment one of the first line),
then those spaths will be used for pricing an asian option
- the 3rd Demo,in myMC (run MonteCarlo.m) , show how to simulate some corelated asset paths
- The 4th demo, (run VanillaPricingUsingDifferentMethods.m in the VarReduction folder) , wil compare th results obtrtain byt differents reduction of Variance technics or "quasi" 礛ont Carlo simultion using Hamlton and sobol Sequences
-hs is the set of files (with the powerpoint presentation, in french or in english) used for the Webinar "Simulation de Monte Carlo en MATLAB".
- The first demo (LakeArea, run MainLakeArea) is computing the size of a polyogon using a MC approach
- The second demo (PortSim, run WebinarScript) can do 2 things: First, we genrate some equity paths, to verify the lognormality If changing the mode to OptionPricing (uncomment one of the first line),
then those spaths will be used for pricing an asian option
- the 3rd Demo,in myMC (run MonteCarlo.m) , show how to simulate some corelated asset paths
- The 4th demo, (run VanillaPricingUsingDifferentMethods.m in the VarReduction folder) , wil compare th results obtrtain byt differents reduction of Variance technics or "quasi" 礛ont Carlo simultion using Hamlton and sobol Sequences
Platform: |
Size: 407552 |
Author:yang |
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Description: 用蒙特卡洛法实现对排队等待问题的计算机模拟
-Monte-Carlo method to realize the problem of computer simulation of waiting Platform: |
Size: 35840 |
Author:狄漠源 |
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Description: 使用直接模拟蒙特卡罗法的Matlab编程，里面三个算例，如湖面积、资产路径等的概率求解法～-Vincent Leclercq, The MathWorks, 2007
vincent.leclercq@mathworks.fr
Ths is the set of files (with the powerpoint presentation, in french or in english) used for the Webinar "Simulation de Monte Carlo en MATLAB".
- The first demo (LakeArea, run MainLakeArea) is computing the size of a polyogon using a MC approach
- The second demo (PortSim, run WebinarScript) can do 2 things: First, we genrate some equity paths, to verify the lognormality If changing the mode to OptionPricing (uncomment one of the first line),
then those spaths will be used for pricing an asian option
- the 3rd Demo,in myMC (run MonteCarlo.m) , show how to simulate some corelated asset paths
- The 4th demo, (run VanillaPricingUsingDifferentMethods.m in the VarReduction folder) , wil compare th results obtrtain byt differents reduction of Variance technics or "quasi" 礛ont Carlo simultion using Hamlton and sobol Sequences Platform: |
Size: 397312 |
Author:杨强 |
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Description: 全球最新交叉学科，生物医学光学成像，蒙特卡洛粒子模拟，包含常用光学特征计算-The latest global interdisciplinary, biomedical optical imaging, Monte Carlo particle simulation, including the optical characteristics of commonly used terms Platform: |
Size: 1024 |
Author:刘涛 |
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Description: 蒙特卡罗(Monte Carlo)方法，又称计算机随机模拟方法，是一种基于"随机数"的计算方法。这一方法源于美国在第二次世界大战研制原子弹的曼哈顿计划。该计划的主持人之一数学家冯诺伊曼用驰名世界的赌城-摩纳哥的Monte Carlo来命名这种方法。-Monte Carlo (Monte Carlo) methods, also known as computer-generated random simulation method is based on " random number" is calculated. This approach stems from the United States in World War II' s Manhattan Project developing the atomic bomb. One of the hosts of the plan with the world-famous mathematician von Neumann in Las Vegas- Monaco Monte Carlo to name this approach. Platform: |
Size: 517120 |
Author:Kevin |
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Description: 这是montecarlo仿真程序，是用MATLAB编写的，也很容易理解，对理解montecarlo很重要！-This is a montecarlo simulation program is written with MATLAB, it is easy to understand, is very important for understanding montecarlo! Platform: |
Size: 96256 |
Author:pu xumin |
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Description: 一本关于光在多层组织传播的蒙特卡罗模拟及其用C语言来实现光子传输模拟的书。-A book about Monte Carlo simulation of light transport in multi-layer tissues and its implementation using C Platform: |
Size: 765952 |
Author:fruitqin |
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