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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