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Description: 蒙特卡罗 课件ppt 好东西哦
monte carlo方法pdf-Monte Carlo courseware ppt Oh good monte carlo methods pdf
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Size: 251904 |
Author: wujianjun |
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Description: 晶体生长的Monte Carlo 模拟，晶体生长的Monte Carlo 模拟晶体生长的Monte Carlo 模拟-Crystal Growth of the Monte Carlo simulation, crystal growth of the Monte Carlo simulation of crystal growth of the Monte Carlo simulation
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Size: 145408 |
Author: 冯康 |
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Description: GNU科学计算函数库GSL（GNU Scientific Library）是一个强大的C/C++数值计算函数库，它是一个自由软件，是GNU项目软件的一个部分，遵循GPL协议。函数库提供了大量的数值计算程序，如随机函数、特殊函数和拟合函数等等。整个函数库大约有1000多个函数，几乎涵盖了科学计算的各个方面。以下是整个函数库的目录：
Complex Numbers
Roots of Polynomials
Special Functions
Vectors and Matrices
Permutations
Sorting
BLAS Support ， BLAS（Basic Linear Algebra Subprograms）
Linear Algebra
Eigensystems
Fast Fourier Transforms
Quadrature
Random Numbers
Quasi-Random Sequences
Random Distributions
Statistics
Histograms
N-Tuples
Monte Carlo Integration
Simulated Annealing
Differential Equations
Interpolation
Numerical Differentiation
Chebyshev Approximation
Series Acceleration
Discrete Hankel Transforms
Root-Finding
Minimization
Least-Squares Fitting
Physical Constants
IEEE Floating-Point -err
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Size: 2842624 |
Author: 贺强 |
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Description: using Monte Carlo integeration calculate Q function
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Size: 1024 |
Author: wei yu |
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Description: 使用pMatlab改写BPSK和QPSK 的Monte Carlo 仿真程序。在多核PC上实现MC仿真速度翻倍（附原程序）-PMatlab rewritten using BPSK and QPSK the Monte Carlo simulation program. In the realization of multi-core PC on MC simulation speed doubled (with the original program)
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Size: 4096 |
Author: wei yu |
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Description: psk和qpsk的蒙特卡罗仿真，摘自通信系统原理的仿真-QPSK psk and Monte Carlo simulation, taken from Principles of Communication Systems Simulation
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Size: 13312 |
Author: wyg051230 |
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Description: 阵列信号处理:DML和ULA的Monte-Carlo仿真 -Array signal processing: DML and ULA of Monte-Carlo simulation
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Size: 1024 |
Author: 杨为 |
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Description: Monte Carlo 法是用来解决数学和物理问题的非确定性的（概率统计的或随机的）数值方法。Monte Carlo 方法（MCM），也称为统计试验方法.主要是研究均匀介质的稳定状态[1]。它是用一系列随机数来近似解决问题的一种方法，是通过寻找一个概率统计的相似体并用实验取样过程来获得该相似体的近似解的处理数学问题的一种手段。-err
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Size: 129024 |
Author: zhangling |
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Description: mcmc 马尔可夫链 蒙特卡罗算法
具体参数 请用help命令-MCMC Markov chain Monte Carlo algorithm specific parameters Please help command
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Size: 15360 |
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Description: Computes BER v EbNo curve for convolutional encoding / soft decision
Viterbi decoding scheme assuming BPSK.
Brute force Monte Carlo approach is unsatisfactory (takes too long)
to find the BER curve.
The computation uses a quasi-analytic (QA) technique that relies on the
estimation (approximate one) of the information-bits Weight Enumerating
Function (WEF) using
A simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.-Computes BER v EbNo curve for convolutional encoding/soft decision Viterbi decoding scheme assuming BPSK. Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve.The computation uses a quasi-analytic (QA) technique that relies on theestimation (approximate one) of the information-bits Weight Enumerating Function (WEF) usingA simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.
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Size: 6144 |
Author: joy |
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Description: On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
-On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar-xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
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Size: 16384 |
Author: 徐剑 |
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Description: 这是monte carlo粒子滤波的一个实例程序，对于学习卡尔曼滤波和粒子滤波都有很大帮助-This monte carlo particle filter is an example of procedures for the study of Kalman filtering and particle filter are very helpful
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Size: 8192 |
Author: ZhangGeng |
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Description: 里面有蒙特卡洛的基本课间，资源简易易懂。-There are the basic Monte Carlo recess, resources simple and understandable.
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Size: 1101824 |
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Description: This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.-This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar-xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
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Size: 220160 |
Author: 晨间 |
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Description: monte carlo 仿真英文电子书
AGuidetoMonteCarloSimulationsinStatisticalPhysics,Second EditionThis new and updated deals with all aspects of Monte Carlo simulation ofcomplexphysicalsystemsencounteredincondensed-matterphysicsandsta-tistical mechanics as well as in related ?elds, for example polymer science,lattice gauge theory and protein folding-monte carlo simulation English e-books AGuidetoMonteCarloSimulationsinStatisticalPhysics, Second EditionThis new and updated deals with all aspects of Monte Carlo simulation ofcomplexphysicalsystemsencounteredincondensed-matterphysicsandsta-tistical mechanics as well as in related? elds, for example polymer science, lattice gauge theory and protein folding
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Size: 3883008 |
Author: 林峰 |
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Description: 蒙特卡罗方法可以有效地解决复杂的工程问题，而MATLAB具有强大的数值计算功能。将二者结合使用，可以得到高效的解决问题的方法。本文阐述了该方法并通过实例验证了该方法的正确性和优越性。-Monte Carlo method can effectively solve complex engineering problems, and MATLAB has powerful function of numerical calculation. The two in combination, can be cost-effective solution to the problem. This paper describes the methods and examples of the method to verify the correctness and superiority.
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Size: 120832 |
Author: zzh |
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Description: 这是马尔可夫-蒙特卡罗算法的MATLAB源程序.-This is the Markov- Monte Carlo algorithm for MATLAB source code.
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Size: 136192 |
Author: liufanmao |
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Description: Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo
algorithm to sample from the distribution P ~ EXP(-F), where F is the
first argument to HMC. The Markov chain starts at the point X, and
the function GRADF is the gradient of the `energy function F.
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Size: 3072 |
Author: 西晃云 |
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Description: 用matlab对M=8的PSK系统进行蒙特卡罗仿真，分析其误码率-Using matlab for M = 8 the PSK system Monte Carlo simulation, to analyze the bit error rate
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Size: 3072 |
Author: wuyinkui |
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Description: MCMC（马尔可夫－盟特卡罗方法）实现的程序-MCMC (Markov- UNITA Monte Carlo method) procedures realize
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Size: 32768 |
Author: chenzhuo |
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