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Matrix ActiveX Component 2.1 Advanced Software

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     Matrix ActiveX Component 2.1 Advanced - The <b>Matrix ActiveX Component</b> is a useful tool that simplifies the use of matrix mathematical computations in application development..
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Matrix ActiveX Component 2.1 Advanced 2.1
 by www.bluebit.gr
Publisher: www.bluebit.gr
Category: Home & Education / Mathematics
Price: $ 115.0 USD ( See price in EUR )
Current Rating: Matrix ActiveX Component 2.1 Advanced software current rating 4 (Average rating:4)
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Description:

<p><b>EigenValues and EigenVectors calculation can now become just one line of
source code!</b></p>
<p>The ability to calculate EigenValues and EigenVectors is just one aspect of
matrix algebra that is featured in the new <b>Advanced</b> edition of <b>Matrix
ActiveX Component</b>.</p>
<p>Implementing even a simple matrix math operation in your application requires
that a matrix algorithm be developed, source coded and extensively tested.</p>
<p><b>Matrix ActiveX Component</b><span lang=EN-US> 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 <b>actual goals</b> of your application.</span></p>
<p>Without compromising speed, <b>Matrix ActiveX Component</b> uses an
object-oriented approach to matrix mathematical computation. It provides you
with the <b>Matrix</b> <b>Class</b> containing all the <b>Properties</b>, <b>Methods</b>
and<b> Events</b> that you?ll need when deploying your numerical exploration.</p>
<p>Here are just a few of the supported operations:</p>
<ul type=disc>
<li>Basic matrix operations</li>
<ul type=disc>
<li>Addition</li>
<li><span lang=EN-US>Subtraction</span></li>
<li>Transpose</li>
<li>Scalar Multiplication</li>
<li>Normalize</li>
</ul>
<li>Common matrix operations
<ul type=disc>
<li>Multiplication</li>
<li>Inversion</li>
<li>Determinant</li>
</ul>
</li>
<li><span lang=EN-US>Simultaneous Equations Solving</span>
<ul type=disc>
<li>Using matrix inversion</li>
<li>Using Gauss elimination</li>
</ul>
</li>
<li>Matrix Decompositions
<ul type=disc>
<li>LU Decomposition</li>
<li>Cholesky Decomposition</li>
<li>QR Decomposition<font color=red>*</font></li>
<li>Singular Value Decomposition SVD <font color=red>*</font></li>
</ul>
</li>
<li><span lang=DE>Eigen

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More Titles from www.bluebit.gr
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