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这部分是用MATLAB产生随机过程的一系列源代码.含产生高斯分布随机变量,多变量高斯过程样本的产生,高斯--马尔科夫过程的产生等等..分别运行了这些程序.希望对大家有用-This is partly a random process generated by MATLAB source code of the series. Containing random variables have a Gaussian distribution, multivariate Gaussian proces
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绘制圆柱面x^2+y^2=1,y^2+z^2=1,z^2+x^2=1相交图形 画理论计算出的最速落径（虚线表示） 多元函数求极值法模拟最速降线 二次函数 f(x)=4x(1-x) 的迭代密度分布图 二次函数f(x)=ax(1-x) 迭代蛛网图 -Draw a cylindrical surface x ^ 2+y ^ 2 = 1, y ^ 2+z ^ 2 = 1, z ^ 2+x ^ 2 = 1 intersects graphics painting theoretical calculat
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本matlab程序用共轭梯度法来求解多元模型的最小值（给出最小值和精度情况）-The matlab program conjugate gradient method to solve the minimum multivariate model (given the minimum and the accuracy of the situation)
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本matlab程序用DFP法求解多元模型的最小值（给出初始点和精度要求条件）。-The matlab program using DFP method for solving the minimum multivariate model (given initial point and precision conditions).
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本matlab程序用惩罚函数法求解多元模型的最小值（给出初始点和精度要求条件）。-The matlab program for solving the minimum multivariate model with penalty function method (given initial point and precision conditions).
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本matlab程序用乘子法求解多元模型的最小值（给出初始点和精度要求条件）。-The matlab program for solving the minimum multivariate model using multiplier method (given initial point and precision conditions).
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该代码是R语言丛书代码。R是数据挖掘应用的一种重要算法语言和算法工具。该代码会更好的引导学习R。-The e-book is a series of books based on multivariate algorithm R language sequence, R matlab basic grammar and almost
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c_dgaus是一个MATLAB V5 MEX文件（可为您的系统编译的MEX命令）用于计算一组多元正态密度值。-c_dgaus is a MATLAB V5 MEX file (which can be compiled for your system MEX command) is used to calculate a set of multivariate normal density.
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用Matlab语言构造多元准循环LDPC码，并通过信道进行仿真。-Matlab language used multivariate quasi-cyclic LDPC codes constructed and simulated through the channel.
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利用自然梯度算法，多元数据分析的主分量分析投影，关于小波的matlab复合分析。- Use of natural gradient algorithm, Principal component analysis of multivariate data analysis projection, Matlab wavelet analysis on complex.
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利用最小二乘法进行拟合多元非线性方程，借鉴了主成分分析算法（PCA），用MATLAB实现动态聚类或迭代自组织数据分析。- Multivariate least squares fitting method of nonlinear equations, It draws on principal component analysis algorithm (PCA), Using MATLAB dynamic clustering or iterative self-organizing data
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这个有中文注释，看得明白，多元数据分析的主分量分析投影，通过matlab代码。- The Chinese have a comment, understand it, Principal component analysis of multivariate data analysis projection, By matlab code.
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MIT人工智能实验室的目标识别的源码,关于小波的matlab复合分析，利用最小二乘法进行拟合多元非线性方程。- MIT Artificial Intelligence Laboratory identification of the target source, Matlab wavelet analysis on complex, Multivariate least squares fitting method of nonlinear equations.
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可以广泛的应用于数据预测及数据分析,现代信号处理中谱估计在matlab中的使用，多元数据分析的主分量分析投影。- Can be widely used in data analysis and forecast data, Modern signal processing used in the spectral estimation in matlab, Principal component analysis of multivariate data analysis projection.
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多元分析详细介绍及典型相关的数学描述。最后有详细的matlab程序介绍。(Multivariate analysis details and typical mathematical descr iption. Finally, a detailed matlab program is introduced.)
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基于矩阵运算的多元线性回归分析，基于回归计算程序包的多元线性回归分析等MATLAB程序实现；各检验值齐全(Multivariate linear regression analysis based on matrix operation, multiple linear regression analysis based on regression calculation package)
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matlab toolbox
containing GUI for performing analysis of multivariate
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在实际课题中，为了全面分析问题，往往提出很多与此有关的变量(或因素)，因为每个变量都在不同程度上反映这个课题的某些信息。(PCAPrincipal Component Analysis (PCA) is a multivariate statistical analysis method that selects multiple variables by linear transformation to select fewer variables. It is also called pri
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matlab求多元函数最小值，显示方程求最优值(Matlab for the minimum value of multivariate function)
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Copula一词原意为连接，它把多个随机变量的边缘分布连接在一起形成联合分布。变量间的相关结构完全由Copula决定，而各变量的统计特征由其边缘分布确定。与我们描述变量问相关关系常用的相关性相比，Copula描述的多元随机变量间的相关结构可以提供更准确的信息，目前Copula已经成为流行的多变量建模工具。(Copula is originally meant to connect the edge distributions of multiple random variables togeth
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