Download Matrix ActiveX Component 3.1

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Free-To-Try.com Windows Development Active X Matrix ActiveX Component

Matrix ActiveX Component 3.1
Matrix ActiveX Component 3.1 screenshot
Implement matrices for mathematical computations in your applications.
Price: 49 USD (Buy Now) Hits: 371 visitors Publisher: Bluebit Software OS Support: Win98, WinXP License: Demo Date added: 25 Oct 2012 Last Update: 01 Mar 2004 Downloads: 9

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Matrix ActiveX Component Publisher's description

Implement matrices for mathematical computations in your applications.

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.
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Version History
Version 3.1 added on: 25 Oct 2012


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Related Tags
    matrix          math          eigenvalues          eigenvalue          eigenvectors          eigenvector          qr          cholesky          lu          decomposition          svd      

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