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Company:	Bluebit.gr
License:	Shareware
Version:	2.1
System:	Win 95/NT/2000/XP/98/ME
Size:	0
Date Released:	January 26, 2002
Price:	$115
Screenshot:	No Screenshot
Downloads:	925
Homepage:	http
Date added:	Sep 22, 2005
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EigenValues and EigenVectors calculation can now become just one line of
source code!

The ability to calculate EigenValues and EigenVectors is just one aspect of
matrix algebra that is featured in the new Advanced edition of Matrix
ActiveX Component.

Implementing even a simple matrix math operation in your application requires
that a matrix algorithm be developed, source coded and extensively tested.

Matrix ActiveX Component does this for you! It
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, Matrix ActiveX Component uses an
object-oriented approach to matrix mathematical computation. It provides you
with the Matrix Class containing all the Properties, Methods
and Events that you¿ll need when deploying your numerical exploration.

Here are just a few of the supported operations:

Basic matrix operations

Addition
Subtraction
Transpose
Scalar Multiplication
Normalize

Common matrix operations

Multiplication
Inversion
Determinant

Simultaneous Equations Solving

Using matrix inversion
Using Gauss elimination

Matrix Decompositions

LU Decomposition
Cholesky Decomposition
QR Decomposition*
Singular Value Decomposition (SVD)*

Eigen problems

EigenValues*
EigenVectors*

Vector functions

Column Vector*
Row Vector*

Events Notification

OnProgress Event*
Done Event*

(*) Only in Advanced
edition

High-performance matrix calculation is no longer a privilege of mainframe
computers running Fortran libraries. Matrix ActiveX Component brings
these functions to your desktop application, no matter what your needs! You may
be developing a statistical package, or you might want fast 3D graphics
transformations. 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!

You might expect a tool so robust and versatile to be complicated to use. On
the contrary, you will discover how easy, quick and clean your source code can
be when you use the Matrix ActiveX Component.

Comprehensive documentation is provided that will make it very easy for you
to start coding right away. Context-sensitive help is available while debugging.
Plenty of source code examples are given throughout, explaining the use of every
feature. In addition, we provide online help, and above all, we are always here
at your disposal to help you use Matrix ActiveX Component.

NEWS

So far, nothing for that!

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