Matlab编写的PLS核心算法，适用于主元分析方面的应用-Matlab prepared by the PLS core algorithm applies to the main element analysis of the application 下载
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数值分析中的求解算法 列主元高斯消去法。已经过编译测试-numerical analysis of the algorithm shown in the main yuan Gaussian elimination method. Has been compiled test 下载
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数值分析中的求解算法 全主元高斯消去法 已经过编译测试-numerical analysis of the whole algorithm PCA Gaussian Elimination Act has been compiled test 下载
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利用主元分析识别人脸的两篇论文。对于理解PCA算法非常有价值.- 下载
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高斯主元,雅可比迭代以及牛顿算法 对于数值分析有很大的帮助-Gaussian main element, and the Jacobian Newton iterative numerical analysis algorithm will be very helpful 下载
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数值分析中的"高斯列主元消去法解线代数方程组"算法的具体实现-numerical analysis of the "main-element Gaussian Elimination Solution Line algebraic equations," a concrete realization algorithm 下载
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数据预测算法，主要是一元n次方程的回归预测实现。* 预测分析--本算法只适用于有明显线性趋势的数据 * 默认为一元二次曲线方程法 * * 本程序主要涉及有两个算法 * 1．用最小二乘原理找到线性方程组的系数和常数。 * 2．解线性方程组 * 本程序在解线性方程组中，由于考虑到收敛性问题未采用迭代法，而是采用Gauss-Jordan消去法来解决。-data prediction algorithm is mainly one yuan n equation forecast to achieve reunification. * Forecast and Analysis -- This algorithm applies only to clear linear trend data * default as a quadratic curve equation method * * The procedure involves two main algorithm * 1. Using the principle of least squares linear equations to find the constants and coefficients. * 2. The solution of linear equations * The procedure for solving linear equations, due to convergence problems using iterative method, instead of using the Gauss-Jordan elimination method to solve. 下载
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结合PCA+LDA的图像识别算法VC封装类,PCA（主元素分析，光照敏感）,可用于人脸识别的初级算法-combination of image recognition algorithm VC Packaging category, PCA (principal component analysis, Light-sensitive), can be used for the initial face recognition algorithm 下载
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这个代码是主元素分析的代码，里面有使用MKL计算特征值特征向量的方法。-This code is the main element analysis codes, which are used to calculate eigenvalues null eigenvector methods. 下载
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本人的数值分析课程设计 ，比较完整！Gauss顺序消去法与Gauss列主元消去法是计算机上常用来求解线性方程组的一种直接的方法。就是在不考虑舍入误差的情况下，经过有限步的四则运算可以得到线性方程组的准确解的一类方法。-Numerical analysis of the curriculum design, a relatively complete! Gauss law and order eliminate Gauss out PCA elimination method is commonly used computers to solve linear equations in a direct way. Is not consider rounding error of circumstances, and after limited to the four-step operation can be linear equations the exact solutions of a class method. 下载
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