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Matrix ActiveX Component

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. 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 Class containing all the Properties, Methods and Events 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.

Download Now 446 KB         Buy Now $599.00 USD


Software Information System Requirements
Version: 3.1.2
  • Windows 95/98/2000/XP/NT/ME/Vista
  • Pentium II CPU
  • 256 MB of RAM
File Size: 446 KB
License:Free to try, $599.00 to buy
Rating :

Supported operations include:

Eigen Problems
  • Eigenvalues Eigenvectors of symmetric and non- symmetric matrices
Matrix Decompositions
  • LU Decomposition
  • Cholesky Decomposition
  • QR Decomposition *
  • Singular Value Decomposition (SVD)
Basic Matrix Operations
  • Addition
  • Subtraction
  • Scalar Multiplication
  • Normalize
  • Transpose
Common Matrix Operations
  • Multiplication
  • Inversion
  • Determinant
Simultaneous Equation Solving
  • Using Matrix Inversion
  • Using Gauss Elimination


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