搜索资源列表
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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.
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SVD程序，用于图像的奇异值分解，SVD程序，用于图像的奇异值分解-SVD procedure for singular value decomposition of the image, SVD procedure for singular value decomposition image
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基于矩阵奇异值分解的数字水印的设计与实现
-Matrix singular value decomposition-based digital watermark design and implementation
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左右两场相关矩阵的奇异值分解，针对站点文件（svd）-Two related matrix singular value decomposition (svd)
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SVM-matlab故障诊断程序 -SVM-matlab process fault diagnosis fault diagnosis SVM-matlab program
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This application can make
a comparative analysis of two images using different methods: Logical
Operators and singular value decomposition (SVD). In conclusion, with
this work we have tried to collect a few methods for differentiating
tex
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实现复数矩阵的基本运算，并能实现复数矩阵的求逆、快速傅里叶变换和奇异值分解等-The realization of the basic computing complex matrix, and can achieve complex matrix inversion, fast Fourier transform and singular value decomposition and so on. . . .
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基于混沌加密的奇异值分解算法的源代码，实现了水印技术的预处理及嵌入提取过程。-Chaos-based encryption algorithm, singular value decomposition of the source code, a watermark embedding technology and extraction pretreatment.
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效果非常好的数字水印的源代码，实现了基于小波变换的奇异值分解算法，选取载体图像的LH子带作为载体，并进行攻击测试算法性能-The effect of a very good source of digital watermarking, wavelet transform based on the realization of the singular value decomposition algorithm, select the carrier of the LH sub-band ima
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多元回归分析中的奇异值分解方法 -Multiple regression analysis of the singular value decomposition method
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Field: Digital Image Processing
i)Reading Hyperspectral Images
ii) Reshaping the input images
ii) Singular value decomposition using
C , Intel OpenCV and Intel MKL
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python + c
a library for reasoning by analogy over semantic networks
using the sparse singular-value decomposition.-python+ c
a library for reasoning by analogy over semantic networks
using the sparse singular-value decomposition.
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一般实矩阵的奇异值分解，利用豪斯赫尔德变换及变形QR算法对一般实矩阵进行奇异值分解。-A general real matrix singular value decomposition, the use of house Herder transformation and deformation of a general real matrix QR algorithm for singular value decomposition.
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SVDGUI演示了计算任何实矩阵的奇异值的步骤-SVDGUI Demonstrate the computation of the SVD.
SVDGUI(A) shows the steps in the computation of the singular value decomposition of any real matrix.
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雅克比过关法算法求矩阵的奇异值分解，是雅克比算法的优化-Jacobi algorithm for seeking clearance method singular value decomposition of the matrix is a Jacobian algorithm optimization
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This PDF documet bescribes implementation of Singular Value Decomposition with application to Least square problem.
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fortran code for Singular value decomposition
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一般性的奇异值分解算法，float浮点型。-SGGSVD computes the generalized singular value decomposition (GSVD)
* of an M-by-N real matrix A and P-by-N real matrix B:
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* U*A*Q = D1*( 0 R ), V*B*Q = D2*( 0 R )
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* where U, V and Q are orthogonal matric
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使用奇异值分解来帮助求解最小二乘问题，特别是在方程系数矩阵不满秩的情况下。-SGELSD computes the minimum-norm solution to a real linear least
* squares problem:
* minimize 2-norm(| b- A*x |)
* using the singular value decomposition (SVD) of A. A is an M-by-N
* matrix which
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实矩阵奇异值分解，可控制技术精度，被其他程序调用的子程序。-Real matrix singular value decomposition, can control the precision,be used by other programs called subroutines.
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