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[ADO-ODBC] svd.cpp DL : 0: compute single value decomposition of a matrix in c
Update : 2008-10-13 Size : 69.35kb Publisher : 张记清
[Other resource] svd[1].cpp DL : 0: The document describes an AP library adapted for C++. The AP library for C++ contains a basic set of mathematical functions and collection classes needed to run the programs from the ALGLIB website.
Update : 2008-10-13 Size : 71.35kb Publisher : 大宾
[ADO-ODBC] svd.cpp DL : 0: compute single value decomposition of a matrix in c
Update : 2025-02-19 Size : 69kb Publisher : 张记清
[Algorithm] svd[1].cpp DL : 0: The document describes an AP library adapted for C++. The AP library for C++ contains a basic set of mathematical functions and collection classes needed to run the programs from the ALGLIB website.
Update : 2025-02-19 Size : 71kb Publisher : 大宾
[Algorithm] svd.cpp DL : 0: This svd source code implementation in c++ , the zip file contain the ap file ,more detail ,please see the ap library adapted for c++ in the zip file.also there is faq to answer your question.-svd source code implementation in c++ , This is the zip file contain the ap file ,more detail ,please see the ap library adapted for c++ in the zip file.also there is faq to answer your question.
Update : 2025-02-19 Size : 86kb Publisher : leespoon
[Algorithm] svd.cpp DL : 0: SVD-Single Value Decompose
Update : 2025-02-19 Size : 80kb Publisher : sutuvietnam
[Algorithm] alglib-2.5.0.cpp DL : 0: 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
Update : 2025-02-19 Size : 1021kb Publisher : Cheng
[OpenGL program] alglib-3.2.0.cpp DL : 1: 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)
Update : 2025-02-19 Size : 961kb Publisher : supereast
[Windows Develop] pca-cPP-svd-algorithm DL : 0: 主成分分析的c++实现使用奇异值分解svd算法-Principal Component Analysis based on svd algorithm ，used c++
Update : 2025-02-19 Size : 4kb Publisher : 刘一
[Algorithm] SVD_C++ DL : 0: C++实现矩阵的SVD分解，矩阵基本运算“+，-，*，/”，三角分解，QR分解，矩阵显示，矩阵转置，矩阵特征值与特征向量运算. 并在 Source.cpp中附有使用例子代码，方便读者快速上手。经本人测试，完全可以运行，放心使用。对于SVD分解，经过与matlab中结果对比，发现，当矩阵的列数>=行数时，基本没问题。(Using C++ language realizes the SVD decomposition of matrix,as well as the basic operation of matrix "+, -, *, /", triangular decomposition, QR decomposition, matrix display, matrix transpose, matrix eigen value and eigen vector operation. And in Source.cpp, how to use these code was supplied, which is very convenient for you to quickly use these codes into your programming. For SVD decomposition, I had compare the result with that of MATLAB,and I found that when the columns of the matrix number > = line number,my code has no problem.)
Update : 2025-02-19 Size : 30kb Publisher : 东篱
[Communication-Mobile] 奇异值分解(SVD).cpp DL : 0: 奇异值分解(SVD)VC++程序，网上的都有错误，此程序修正了错误的地方。(Singular value decomposition (SVD) VC ++program, there are errors on the Internet, this program fixes the wrong place.)
Update : 2025-02-19 Size : 2kb Publisher : tiptone