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Home > Software > Development > Active X > Matrix ActiveX Component 3.1

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Matrix ActiveX Component 3.1 ( View screenshot )




Matrix ActiveX Component provides for all basic matrix operations plus LU, Cholesky, QR and Singular Value (SVD) decompositions, Eigenvalue and Eigenvector computation for symmetric and non symmetric matrices. Version 3.1 supports complex matrices.

Updated 9, 2005 05: 1:8:
Rating 95 ( -14 -14.73% )
Size467 kb
LicenceDemo
StatusMajor Update
LanguagesEnglish
OSWindows 98,ME,NT,2000,XP
Homepagebluebit.gr
Emailfeedback@bluebit.gr
Keywordsmatrix math eigenvalues eigenvalue eigenvectors eigenvector qr cholesky lu decomposition svd
AuthorTrifon Triantafillidis
Matrix ActiveX Component software. Matrix ActiveX Component provides for all basic matrix operations plus LU, Cholesky, QR and Singular Value (SVD) decompositions, Eigenvalue and Eigenvector computation for symmetric and non symmetric matrices. Version 3.1 supports complex matrices. The Matrix ActiveX Component is a useful tool that can simplify the use of matrix operations for mathematical computations in application development.

It provides for matrix operations such as addition, subtraction, multiplication, inversion, transpose, and computation of determinant, LU and Cholesky decompositions. Advanced edition additionally supports QR and Singular Value (SVD) decompositions, Eigenvalue and Eigenvector computation for symmetric and non symmetric matrices.

Advanced II edition now supports operations with complex matrices.

The Matrix ActiveX Component delivers all the speed, numerical stability, robustness and scalability you could ask for, significantly reducing development tim download

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    Description:
    The Matrix ActiveX Component is a useful tool that can simplify the use of matrix operations for mathematical computations in application development.

    It provides for matrix operations such as addition, subtraction, multiplication, inversion, transpose, and computation of determinant, LU and Cholesky decompositions. Advanced edition additionally supports QR and Singular Value (SVD) decompositions, Eigenvalue and Eigenvector computation for symmetric and non symmetric matrices.

    Advanced II edition now supports operations with complex matrices.

    The Matrix ActiveX Component delivers all the speed, numerical stability, robustness and scalability you could ask for, significantly reducing development time and allowing you to focus on the actual goals of your application. Without compromising speed, it uses an object-oriented approach to matrix math computation, it provides you with the Matrix and CMatrix Classes containing all the Properties, Methods that you'll need when deploying your numerical exploration.You may be developing a statistical package, or you might want fast 3D graphics transformations, or you may need to solve simultaneous equations, multivariate linear regressions, or to solve EigenValues and EigenVectors problems, Matrix ActiveX Component can do all of this and more.
    Matrix ActiveX Component 3.1 Download from bluebit.gr

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    • Matrix TCL 2.11 — This is a C++ template class library to perform matrix calculations with ease and efficiency in your programs. It supports most of the matrix calculations that you may need to do in your C++ programs. Full source code is included with the package.
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