搜索资源列表
gaosisuanfa
- 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
xuanzhuyuan
- 数值分析-列选主元求解方程组 //n 整型变量。方程组的阶数 //a 双精度实型二维数组,体积为n*n。存放方程组的系数矩阵,返回时将被破坏。 //b 双精度实型一维数组,长度为n,存放方程组右端的常数向量;返回方程组的解向量。 //本函数返回整型标志值。若返回的标志值为0,则表示原方程组的系数矩阵奇异,输出信息“fail”;若返回的标志值不为0,则表示正常返回。-Numerical Analysis-out election PCA solving equations / /
GRAUSS
- 数值分析-列选主元求解方程组 //n 整型变量。方程组的阶数 //a 双精度实型二维数组,体积为n*n。存放方程组的系数矩阵,返回时将被破坏。 //b 双精度实型一维数组,长度为n,存放方程组右端的常数向量;返回方程组的解向量。 //本函数返回整型标志值。若返回的标志值为0,则表示原方程组的系数矩阵奇异,输出信息“fail”;若返回的标志值不为0,则表示正常返回。-Numerical Analysis-out election PCA solving equations / /
Gauss-liezhuyuan
- 高斯列主元消元法的实验报告和源程序,里面还有一点误差分析-out PCA Gaussian Elimination Act of experimental reports and sources, there is also 1:00 Error Analysis
13709828698
- 本程序是应用数值分析对线性多元方程组的一种解法……高斯列主元消去法,把系数阵A进行对角化,再从下层至上层逐一求解。有问题请联系13709828698,李。 -this program is the application of numerical analysis of multi-linear equations of a solution ... out PCA Gaussian Elimination Act, A coefficient matrix put right for k
shizhifenxi
- 数值分析算法描述与习题解答,由清华大学徐士良教书,用C编写的各种数学算法。比如:托伯利兹型线性代数方程组的递推算法,全选主元高斯消去法解复系数线形代数方程组,复矩阵求逆的全选主元高斯-约当法,等;-numerical analysis algorithm descr iption and answer the questions from Qinghua University XU Shi-liang, teaching C prepared by the various mathematica
C2-1GaussElimination
- gauss列主元消去的C原程序,编写者为武汉大学数值分析老师-gauss main-element elimination of the C program, the authors of Numerical Analysis of Wuhan University teachers
lzgsxyf
- 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
PCA-ICA
- 实现了主元分析(PCA)和独立分量分析(ICA)相关信号处理。非线性降维。(Implements Principal Component Analysis (PCA) and Independent Component Analysis (ICA) correlation signal. Non-linear dimension reduction using kernel PCA.)
PCA_Monitoring
- PCA(principle component analysis)算法,可用于特征选择等,希望有帮助(principle component analysis)
PCA
- MATLAB实现主元分析法,实现数据的压缩,提取主元(MATLAB realize Principal Component Analysis, To achieve data compression, extract the principal component)
nruhfo
- 主元分析PCA的C代码,自己花了好几天编的,对做数据挖掘和模式识别的同志们有用()
PCA故障诊断步骤
- PCA故障分析程序,主元分析法,故障诊断,TE过程的数据。(PCA fault analysis program, principal component analysis, fault diagnosis, TE process data.)
模式识别
- 模式识别课程关于主元分析的人脸识别算法程序(matlab)。(Face recognition The face recognition algorithm program (matlab) for the principal component analysis in the pattern recognition course.)
数值分析上机C语言代码
- 龙贝格积分 高斯列主消元法 牛顿迭代 三次样条插值 龙格卡塔(Romberg integration Gauss principal elimination method Newton iteration three spline interpolation Runge Cartagena)
rmnea
- 主元分析PCA的C代码,自己花了好几天编的,对做数据挖掘和模式识别的同志们有用()
FNN与PCA和KPCA结合
- 一种特征提取方法:结合主元分析(PCA)和核主元分析(KPCA)的前馈神经网络(FNN)(A feature extraction method: the feedforward neural network (FNN) combined with principal component analysis (PCA) and kernel principal component analysis (KPCA))
KPCA故障检测程序(代码已优化)
- 基于核主元分析(KPCA)的工业过程故障检测,代码已优化,运行效率高,有详细的注释,附有训练数据和测试数据。(Achieves fault detection of industrial processes based on Kernel Principal Component Analysis (KPCA); the code has been optimized for high operational efficiency; detailed notes are attached with
PLS_Toolbo
- pls_toolbox工具箱可以解决统计领域多个问题的matlab求解问题,比如偏最小二乘问题、多向主元问题、主元分析等等,集成的工具箱方便,而且不需要验证码!(The pls_toolbox toolbox can solve the MATLAB problem of multiple problems in the field of statistics, such as partial least squares, multidirectional principal element,
基于核主元分析的非线性过程监测与诊断研究
- 图像分类,Fisher判别式,贡献图图像分类,Fisher判别式,贡献图图像分类,Fisher判别式,贡献图图像分类,Fisher判别式,贡献图