搜索资源列表
矩阵所有运算
- 矩阵的转置、行列式、秩,逆矩阵求法,矩阵的三角分解、qr分解,对称正定矩阵的乔里斯基分解及行列式值,奇异值分解,广义逆的奇异值分解,矩阵特征值与特征向量的各种计算方法-all kinds of computational method of transposition of matrix, determinant, rank, inverse of matrix,triangle decomposition, qr decomposition, cholesky decomposition an
VB_NUM1
- 用VB实现线性方程组的求解。包括:高斯消元法,LU分解法追赶法,迭代法,奇异值分解,乔累斯基分解法等12种数值方法。-VB of linear equations to solve. Including : Gaussian Elimination Act, the law catch up with the LU decomposition, iterative method, singular value decomposition, Joe Cholesky decomposition 1
InvMat
- 利用矩阵的奇异值分解压缩图像,先将图像分块,对各块中的每个对应象素内积得到相关矩阵A,然后对A进行奇异值分解,选择n(n<N)个较大的特征值对应的特征向量,利用该向量与各块图像内积来压缩和恢复图像-matrix of singular value decomposition image compression, image first block of the block of each pixel corresponding to be associated with the plot
ssvd-0.2.5.tar
- 是一个矩阵的奇异值分解算法的源码包,是在SVDPACKC的基础上进行的封装,典型应用是在LSI算法中用来降维生成一个小的语义空间。-is a matrix of the singular value decomposition algorithm source package is SVDPACKC conducted on the basis of the package, the typical application is in the LSI algorithm used to gene
svdfit
- 通过奇异值分解实现的最小二乘拟合算法 inear least-squares fit by singular value decomposition-through the singular value decomposition of the least squares fitting algorithm inear least-squares fit by singular value decomposition
qiufeixianxingfangchengzuzuixiaoerchengjiedeguangy
- 1.功能 利用广义逆求解无约束条件下的优化问题(C语言) 2.参数说明 int m : 非线性方程组中方程个数 int n : 非线性方程组中未知数个数 double eps1 : 控制最小二乘解的精度要求 double eps2 : 用于奇异值分解中的控制精度要求 double x[n] : 存放非线性方程组解的初始近似值X(0),要求各分量不全为0 int ka : Ka=max{m,n}+1 void (*f)() : 指向计算非线性方程组中各方程
KDA_QR
- 基于奇异值分解的核线性判别分析(Kernel Discriminant Analysis via QR Decomposition)。 -based on the singular value decomposition of the nuclear linear discriminant analysis (Kernel Discriminant An alysis via QR Decomposition).
Lyapunov_Terra
- 当计算混沌系统Lyapunov指数时,gs.m代码实现正交化 直接运行L2.m,可计算出Lyapunov指数(该代码是基于奇异值分解计算Lyapunov指数的) -chaotic system when calculating Lyapunov exponent, gs.m code directly Orthogonalization L2.m operation, translate into Lyapunov exponent (The code is based on the
tusvd
- 图像的奇异值分解,并将图像重构出来,看其效果的变换-image of the singular value decomposition, and image reconstruction, and look at the effect of the change
Getproject_gsvd_mar
- LDA/GSVD算法matlab代码,可用来实现基于广义奇异值分解的线性鉴别分析方法-LDA / GSVD algorithm Matlab code, can be used to achieve based on the generalized singular value decomposition of linear discriminant analysis method
svd
- 矩阵的奇异值分解算法-A algorithm of matrix singular value decomposition
Img_compress
- 用奇异值分解的方法实现图像压缩,有助于初学者了解奇异值分解的应用
homework_img_deal
- 一种图像压缩方法,利用矩阵分析中的奇异值分解的另一源码
xxfc
- 全主元高斯约当消去法 2.LU分解法 3.追赶法 4.五对角线性方程组解法 5.线性方程组解的迭代改善 6.范德蒙方程组解法 7.托伯利兹方程组解法 8.奇异值分解 9.线性方程组的共轭梯度法 10.对称方程组的乔列斯基分解法 11.矩阵的QR分解 12.松弛迭代法-PCA-wide Gauss Jordan elimination method 2.LU decomposition method 3. To catch up with law 4.
seismic_domain_svd
- 自己编写的采用奇异值分解的地震数据去噪研究,内有详细的解释-I have written using singular value decomposition of seismic data denoising, with detailed explanations
Numerical_Methods_matlab
- matlab实现:高斯消元法,LU分解法,迭代法,奇异值分解,乔累斯基分解法,gauss迭代解线性方程组,jacobi迭代解线性方程组-matlab implementation: Gauss elimination, LU decomposition, iterative methods, singular value decomposition, Cholesky decomposition, gauss iterative solution of linear equations, jac
image
- 在matlab环境下对图片进行压缩,使用算法为矩阵的奇异值分解-Matlab environment in the picture compression algorithm using singular value decomposition of the matrix
code
- 运用奇异值分解,离散傅里叶变换的水印算法,完整程序-wartermarking algorithm
cgsvd
- 改程序产生一个广义的奇异值分解。对于奇异方程而言,改方法非常有效。可以迅速求解方程。CGSVD Compact generalized SVD of a matrix pair in regularization problems-Change the program to generate a generalized singular value decomposition. For the singular equation, the change method is very effect
ChaosToolbox_lzb3.0
- 连续系统LE的计算方法主要有定义方法、QR分解方法、奇异值分解方法,或者通过求解系统的微分方程,得到微分方程解的时间序列,然后利用时间序列(即离散系统)的LE求解方法来计算得到(The partial differential equations modeling the system's stream function and temperature are subjected to a spectral approximation: the hydrodynamic fields are e