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Description: 求矩阵奇异分解svd算法，共计4种实现方式，-for SVD matrix decomposition algorithm, for a total of four kinds of achievement,
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Size: 645120 |
Author: 样反 |
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Description: 自己编写的奇异值分解程序，希望与大家交流一下-I have written the singular value decomposition process, I hope to share with you what
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Size: 5936128 |
Author: zyl163 |
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Description: LAPACK是用Fortran90和规定套路解决系统同步线性方程组，最小二乘解线性方程组，特征值问题，以及奇异值问题。相关的矩阵分解（陆，乔莱斯基，快速反应，分解，舒尔，广义Schur ）也提供了，因为有关的计算，如重新安排的舒尔分解和估计条件号码。致密带状矩阵的处理，而不是一般稀疏矩阵。在所有领域，类似的功能是提供真正的和复杂的矩阵，在单，双精度-LAPACK is written in Fortran90 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision
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Size: 34160640 |
Author: Rocky |
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Description: ) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。-) The use of sub-blocks of principal component analysis (PCA) on the human face image coding. PCA method for large defects, first of all the issues into a singular value decomposition (SVD) problem, and then design a feature space of the update algorithm, recursive, simplifying the calculation of the amount calculated at each step to achieve real-time encoding requirements. 4) In the Windows platform based on Video for Windows (VFW) interfaces, the human face image coding and decoding video experimental system, the system achieved image acquisition, image display, encoding, decoding functions.
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Size: 1024 |
Author: 周参 |
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Description: alglib,跨平台的数学分析和数据处理库，主要用于矩阵运算（SVD等）-ALGLIB is a cross-platform numerical analysis and data processing library. It supports several programming languages (C++, C#, Pascal, VBA) and several operating systems (Windows, Linux, Solaris). ALGLIB features include:
• Linear algebra (direct algorithms, EVD/SVD)
• Solvers (linear and nonlinear)
• Interpolation
• Optimization
• Fast Fourier transforms
• Numerical integration
• Linear and nonlinear least-squares fitting
• Ordinary differential equations
• Special functions
• Statistics (descriptive statistics, hypothesis testing)
• Data analysis (classification/regression, including neural networks)
• Multiple precision versions of linear algebra, interpolation optimization and others algorithms (using MPFR for floating point computations)
Why to choose ALGLIB? Because it is:
• portable. It can be compiled almost anywhere using almost any compiler (see compatibility matrix for more info).
• ea
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Size: 1045504 |
Author: Cheng |
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Description: ALGLIB is a cross-platform numerical analysis and data processing library. It supports several programming languages (C++, C#, Pascal, VBA) and several operating systems (Windows, Linux, Solaris). ALGLIB features include:
• Linear algebra (direct algorithms, EVD/SVD)
• Solvers (linear and nonlinear)
• Interpolation
• Optimization
• Fast Fourier transforms
• Numerical integration
• Linear and nonlinear least-squares fitting
• Ordinary differential equations
• Special functions
• Statistics (descriptive statistics, hypothesis testing)
• Data analysis (classification/regression, including neural networks)
• Multiple precision versions of linear algebra, interpolation optimization and others algorithms (using MPFR for floating point computations)
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Size: 984064 |
Author: supereast |
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Description: SVDLIBC是一个使用Lanczos算法计算稀疏矩阵SVD(奇异值分解)的C语言函数库，原本在只能Linux下编译，这个版本是对其进行修改后的windows版本，可以在VC++或MinGW下使用。-SVDLIBC is a C library computing the SVD(Singular Value Decomposition) of a sparse matrix using the Lanczos Algorithm. Originally, it can only compile on Linux. However, with a little adjustment, this version of code can compile on Windows platform with either Visual C++ or MinGW for easy usage.
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Size: 43008 |
Author: Elif Keir |
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Description: VC下奇异值分解，里面包含了所需的lib文件和头文件，及代码演示。dgesvd_函数的调用，参数A（一维数组）的赋值是关键点。比如对矩阵X(二维数组)奇异值分解，并不是直接将按X顺序赋值给A，而是需要将X转置后赋值给A，即A的内容是X的转置形式。-windows vc svd dgesvd_
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Size: 3996672 |
Author: 从世源 |
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Description: ALGLIB是一个跨平台的数值分析和数据处理函数库。它支持多种编程语言，如C++，C#，Pascal，VBA等，可以在多个操作系统平台上运行，如：Windows，Linux和Solaris。ALGLIB有以下特点：
（1）线性代数（包括矩阵分析）；
（2）方程求解（线性和非线性）；
（3）插值；
（4）最优化；
（5）快速傅里叶变换；
（6）数值积分；
（7）线性和非线性最小二乘拟合；
（8）常微分方程求解；
（9）特殊函数；
（10）统计（描述统计、假设检验）；
（11）数据分析（分类、回归、神经网络）；-ALGLIB is a cross-platform numerical analysis and data processing library. It supports several programming languages (C++, C#, Pascal, VBA) and several operating systems (Windows, Linux, Solaris). ALGLIB features include:
• Data analysis (classification/regression, including neural networks)
• Optimization and nonlinear solvers
• Interpolation and linear/nonlinear least-squares fitting
• Linear algebra (direct algorithms, EVD/SVD), direct and iterative linear solvers, Fast Fourier Transform and many other algorithms (numerical integration, ODEs, statistics, special functions)
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Size: 880640 |
Author: zhouping |
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Description: ALGLIB is a cross-platform numerical analysis and data processing library. It supports several programming languages (C++, C#, Delphi) and several operating systems (Windows and POSIX, including Linux). ALGLIB features include:
Data analysis (classification/regression, statistics)
Optimization and nonlinear solvers
Interpolation and linear/nonlinear least-squares fitting
Linear algebra (direct algorithms, EVD/SVD), direct and iterative linear solvers
Fast Fourier Transform and many other algorithms
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Size: 3828736 |
Author: pbb |
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