Description: 该程序用来检验monte carlo随机数的分布是否满足随机性要求。包括独立性检验、均匀性检验和参数检验。-procedures used to test the Monte Carlo random number distribution to satisfy the requirements randomness. Including the independence test, uniform test parameters and test. Platform: |
Size: 3633 |
Author:存友 |
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Description: 一个随机数产生器(mt19937)
计算物理中Monte Carlo方法中的基本条件
周期为2^19937-a random number generator (mt19937) Computational Physics Monte Carlo methods of the basic conditions for the cycle 2 ^ 19937 Platform: |
Size: 2761 |
Author:张文涛 |
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Description: 蒙特卡罗(Monte Carlo)方法，或称计算机随机模拟方法，是一种基于“随机 数”的计算方法，解决很多计算问题。-Monte Carlo (Monte Carlo) methods, or computer random simulation method, is based on random number is calculated to solve many computing problems. Platform: |
Size: 719872 |
Author:陈子卿 |
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Description: 该程序用来检验monte carlo随机数的分布是否满足随机性要求。包括独立性检验、均匀性检验和参数检验。-procedures used to test the Monte Carlo random number distribution to satisfy the requirements randomness. Including the independence test, uniform test parameters and test. Platform: |
Size: 3072 |
Author:存友 |
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Description: 一个随机数产生器(mt19937)
计算物理中Monte Carlo方法中的基本条件
周期为2^19937-a random number generator (mt19937) Computational Physics Monte Carlo methods of the basic conditions for the cycle 2 ^ 19937 Platform: |
Size: 2048 |
Author:张文涛 |
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Description: 通过Monte Carlo仿真，说明DS扩频信号在抑制正弦干扰方面的有效性。用一均匀随机数发生器产生某个二进制信息符号的序列，每个信息比特重复Lc次。
包含文件：DS_restrain_interference.M
SS.M-through Monte Carlo simulation, note DS spread spectrum signal sinusoidal interference in inhibiting the effectiveness. Using a uniform random number generator produce a binary sequence information symbols, each bit of information to repeat Lc times. Documents include : DS_restrain_interference.M SS.M Platform: |
Size: 1024 |
Author:杨絮 |
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Description: Uniform random number generators
by Agner Fog, 2001 - 2007
randomc.zip contains a C++ class library of uniform random number generators of good quality.
The random number generators found in standard libraries are often of a poor quality, insufficient for large Monte Carlo calculations. This C++ implementation provides random number generators of a much better quality: Better randomness, higher resolution, and longer cycle lengths.
The same random number generators are available as libraries coded in assembly language for higher speed. These libraries can be linked into projects coded in other programming languages under Windows, Linux, BSD, etc. The library files are available in the archive asmlib.zip.
Non-uniform random number generators are provided in stocc.zip.-Uniform random number generatorsby Agner Fog, 2001- 2007randomc.zip contains a C++ Class library of uniform random number generators of good quality.The random number generators found in standard libraries are often of a poor quality, insufficient for large Monte Carlo calculations . This C++ implementation provides random number generators of a much better quality: Better randomness, higher resolution, and longer cycle lengths.The same random number generators are available as libraries coded in assembly language for higher speed. These libraries can be linked into projects coded in other programming languages under Windows, Linux, BSD, etc. The library files are available in the archive asmlib.zip.Non-uniform random number generators are provided in stocc.zip. Platform: |
Size: 102400 |
Author:lilin |
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Description: Monte Carlo 风险分析 工具-RiskSim provides random number generator functions as inputs for your model, automates Monte
Carlo simulation, and creates charts. Your spreadsheet model may include various uncontrollable
uncertainties as input assumptions (e.g., demand for a new product, uncertain variable cost of
production, competitor reaction), and you can use simulation to determine the uncertainty associated
with the model s output (e.g., annual profit). RiskSim automates the simulation by trying hundreds of
what-ifs consistent with your assessment of the uncertainties. Platform: |
Size: 219136 |
Author:leaflinhao |
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Description: 简单的蒙特卡洛算法，设计拟合随机数，通过系类操作完成部分计算-A simple Monte Carlo algorithm, designed to fit a random number, through the Department of the completion of part of the calculation of class action Platform: |
Size: 2048 |
Author:wangqiaoyi |
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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: 用C++编写的蒙特卡洛随机数生成软件，经过测试，模拟结果很好-Written using C++ Monte Carlo random number generation software, tested, good results Platform: |
Size: 247808 |
Author:wen |
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Description: Monte Carlo方法的实质是通过大量随机试验，利用概率论解决问题的一种数值方法，基本思想是基于概率和体积间的相似性。它和Simulation有细微区别。单独的Simulation只是模拟一些随机的运动，其结果是不确定的；Monte Carlo在计算的中间过程中出现的数是随机的，但是它要解决的问题的结果却是确定的。-The essence of the Monte Carlo method is a numerical method to solve the problem through a large number of randomized trials, the use of probability theory, the basic idea is based on the similarity between the probability and volume. There are subtle differences between it and Simulation. Separate the Simulation simulation of random movement, the result is uncertain number of the Monte Carlo calculations in the middle of the process is random, but it is to solve the problem the result is determined. Platform: |
Size: 591872 |
Author:jj |
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Description: 蒙特卡洛 随机数生成原理_实现方法_不同编程语言的随机数函数及代码-Monte Carlo random number generator principle _ _ random number function of different programming languages and code Platform: |
Size: 21504 |
Author:香香 |
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Description: Monte Carlo简单算法,非常基础，主要是随机数的产生(Monte Carlo simple algorithm, very basic, mainly random number generation) Platform: |
Size: 2048 |
Author:海鱼望苍穹
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